Journal articles on the topic 'Control system coordination'

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1

Yukhymchuk, Maria, Volodymyr Dubovoi, and Viacheslav Kovtun. "Decentralized Coordination of Temperature Control in Multiarea Premises." Complexity 2022 (December 13, 2022): 1–18. http://dx.doi.org/10.1155/2022/2588364.

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With local control of a large number of objects that mutually influence each other, the problem of coordinating local control systems to achieve the best overall result arises. If the structure of the system (the number of control objects and the parameters of interaction) can change frequently, then the process of setting up/training a centralized coordinator will take an unacceptably large part of the action time and require a significant amount of resources. In this work, the use of decentralized coordination is proposed to solve the problem. As a basic task for research on decentralized coordination control of objects that mutually influence each other, stabilizing the comfort temperatures was set in multizone rooms using movable heaters. Providing individual thermal comfort is an important problem. In particular, there are many multiarea premises with conflicting requirements for the comfort of habitats. This problem can be solved with the help of movable heaters and air conditioners. However, the presence of heat flows between areas with different specified parameters makes it difficult to adjust them. The work aims to improve the quality of thermal control in multiarea premises with a dynamic structure for the location of movable heaters. To achieve this goal, we proposed the concept of Movable Smart Heaters (MSH). A group of Movable Smart Heaters that could influence each other and exchange information forms a dynamic system with a changing structure since switching on/off or moving one MSH to another area changes the mutual influence and connections in the system. The criteria for control quality are defined and evaluated. The proposed coordination algorithms make it possible to optimize the operating modes of the system automatically when its structure and/or settings are changed. Simulation of the system is performed with the use of a worked-out modelling library in Scilab. The results of comparing the MSH system’s efficiency show an increase in comfort while reducing energy consumption.
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Wang, Lei, and Xue Ling. "Coordination Control Model of Manufacturing System." Applied Mechanics and Materials 101-102 (September 2011): 800–803. http://dx.doi.org/10.4028/www.scientific.net/amm.101-102.800.

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This paper established a coordination control model for manufacturing system with three manufacturing cells. The step responses of the system under randomly selected control parameters and under empirically optimized control parameters were studied via simulations. Simulation results show that the proposed model coincides with the real-world system.
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3

Li, Howard, Fakhreddine Karray, Otman Basir, and Insop Song. "Multi-Agent Based Control of a Heterogeneous System." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 2 (March 20, 2006): 161–67. http://dx.doi.org/10.20965/jaciii.2006.p0161.

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In this study, the Coordinated Hybrid Agent (CHA) framework for the control of Multi-Agent Systems (MASs) is applied for a heterogeneous multi-agent system. The system consists of a mobile robot, an overhead crane, and a robot manipulator. The final goal for this project is to implement coordination tasks for the system. In this framework, the control of the MAS is regarded as a decentralized control and coordination of agents. A coordination rule base is developed for the intelligent coordination control layer. Experiments show that the framework is able to model the heterogeneous multi-agent systems.
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Yuan, Rong, and Haiqing Li. "A multidisciplinary coupling relationship coordination algorithm using the hierarchical control methods of complex systems and its application in multidisciplinary design optimization." Advances in Mechanical Engineering 9, no. 1 (January 2017): 168781401668522. http://dx.doi.org/10.1177/1687814016685222.

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Because of the increasing complexity in engineering systems, multidisciplinary design optimization has attracted increasing attention. High computational expense and organizational complexity are two main challenges of multidisciplinary design optimization. To address these challenges, the hierarchical control method of complex systems is developed in this study. Hierarchical control method is a powerful way which has been utilized widely in the control and coordination of large-scale complex systems. Here, a hierarchical control method–based coupling relationship coordination algorithm is proposed to solve multidisciplinary design optimization problems. Coupling relationship coordination algorithm decouples the involved disciplines of a complex system and then optimizes each discipline objective at sub-system level. Coupling relationship coordination algorithm can maintain the consistency of interaction information (or in other words, sharing design variables and coupling design variables) in different disciplines by introducing control parameters. The control parameters are assigned by the coordinator at system level. A mechanical structure multidisciplinary design optimization problem is solved to illustrate the details of the proposed approach.
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5

Xu, Yang, Yulin Zhang, and Ming Liu. "Multiagent Based Decentralized Traffic Light Control for Large Urban Transportation System." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/104349.

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Intelligent traffic control is an important issue of the modern transportation system. However, in large-scale urban transportation systems, traditional centralized coordination methods suffer bottlenecks in both communication and computation. Decentralized control is hard if there is very limited observation to the whole network as evidences to support joint traffic coordination decisions. In this paper, we proposed a novel decentralized, multiagent based approach for massive traffic lights coordination to promote the large-scale green transportation. Considering that only the traffic from the adjacent intersections may affect the state of a given intersection one time ahead, the key of our approach is using the observations of a local intersection and its neighbors as evidences to support the traffic light coordination decisions. Therefore, we can model the interactions as decentralized agents coordinating with a decision theoretical model. Within a local intersection, constraint optimizing agents are designed to efficiently search for joint activities of the lights. Since this approach involves only local intersection cooperation, it is well scalable and easily implemented with small communication overhead. In the last section, we present our software design on this approach and based on our simulation, this approach is feasible to a large urban transportation system.
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6

Gao, De Chao, and Fang He. "Fuzzy Coordinated Control for Multi-Motor Drive System." Applied Mechanics and Materials 631-632 (September 2014): 676–79. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.676.

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The multi-motor drive systems are more and more widely applied. The coordination of multi-motor system is the key need to be solved. A new fuzzy coordinated control strategy is proposed and the fuzzy coordinator is designed. The simulation model is set up using Matlab/Simulink. The result of simulation proves that the fuzzy coordinated control for multi-motor drive system can effectively reduce the synchronization error. The multi-motor drive system which applies the strategy of coordinated control has higher stability and better performance of coordinated control.
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Wang, Lei, Dun-Bing Tang, Wen-Bin Gu, Kun Zheng, Wei-Dong Yuan, and Ding-Shan Tang. "Pheromone-based coordination for manufacturing system control." Journal of Intelligent Manufacturing 23, no. 3 (June 30, 2010): 747–57. http://dx.doi.org/10.1007/s10845-010-0426-z.

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8

Kambhampati, C., C. Perkgoz, R. J. Patton, and W. Ahamed. "An interaction predictive approach to fault-tolerant control in network control systems." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 221, no. 6 (September 1, 2007): 885–94. http://dx.doi.org/10.1243/09596518jsce377.

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This paper illustrates some of the capabilities of previously proposed network control system (NCS) architectures to carry on functioning in the event of faults, without recourse to system reconfiguration. The principle of interaction prediction is used to set up a coordination strategy that encapsulates an ability to withstand or tolerate certain faults, thereby allowing the system to continue functioning. It is also shown that the coordination strategy can be made more effective if a learning agent is allowed to learn the coordination functions. This facilitates the use of different types of agent at the local level, together with recurrent networks and genetic algorithms (GAs) at the coordination level. The experimental test-bed system is a benchmark three-tank system that has some of the main features of an industrial process control system.
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9

Song, Zhao Jun. "A Novel Coordination and Control Approach for Manufacturing System." Advanced Materials Research 909 (March 2014): 231–35. http://dx.doi.org/10.4028/www.scientific.net/amr.909.231.

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In order to handle dynamic and complex manufacturing environment, a novel coordination and control approachis proposed and applied to manufacturing control system in this paper. Using an implicit coordination approach, a novel coordination approach ,which is inspired by the hormone regulatory principle, can find efficient routing paths among the manufacturing resources automatically. With using the proposed implicit coordination approach, the manufacturing control system could reduce the amount of the control communication, and raise the sensitivity of the controller in the shop floor control system. Finally, a simulation experiment, using the proposed approach, is test. And the result confirms that the novel implicit coordination approach has excellent control performance in a static environment and good adaptability to disturbances in shop floor.
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10

Li, Guo, Wen Zheng Zhang, and Yan Jie Hou. "The Application of Multi-Model Control on Vehicle Chassis Coordination Control." Applied Mechanics and Materials 387 (August 2013): 292–95. http://dx.doi.org/10.4028/www.scientific.net/amm.387.292.

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In this paper, we did research on the control theory of vehicle`s steering and braking systems. We used T-S fuzzy method to design the nonlinear model which is based on the vehicle`s steering and braking models. Then a cooperative controller was designed to coordinate the steering system and the braking system. On this way can effectively enhance the vehicle`s braking performance and steering stability. Finally, the results of simulation prove that the designed system has a satisfying tracking performance and strong system robust in diversified driving conditions.
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11

Finneran, James J., and Mardi C. Hastings. "Bioacoustics measurement system control and coordination using LABVIEW." Journal of the Acoustical Society of America 102, no. 5 (November 1997): 3196. http://dx.doi.org/10.1121/1.420900.

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12

Ciortea, E. M. "Intelligent system of coordination and control for manufacturing." IOP Conference Series: Materials Science and Engineering 145 (August 2016): 022008. http://dx.doi.org/10.1088/1757-899x/145/2/022008.

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13

Qu, D. K., D. L. Tan, C. J. Zhang, X. B. Li, and Z. W. Wu. "A Control System for Two Robot ARMS Coordination." IFAC Proceedings Volumes 24, no. 9 (September 1991): 309–14. http://dx.doi.org/10.1016/s1474-6670(17)51074-5.

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14

Imamichi, C., and A. Inamoto. "Functional coordination on homogeneous distributed computer control system." IFAC Proceedings Volumes 20, no. 14 (October 1987): 97–105. http://dx.doi.org/10.1016/b978-0-08-034206-1.50016-7.

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15

Moradzadeh, Mohammad, and René Boel. "Voltage Coordination via Communication in Large-Scale Multi-Area Power Systems. Part II: Simulation Results." Advanced Materials Research 433-440 (January 2012): 7183–89. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.7183.

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This two-part paper deals with the coordination of the control actions in a network of many interacting components, where each component is controlled by independent control agents. As a case study we consider voltage control in large electric power systems where ever-increasing pressures from the liberalization and globalization of the electricity market has led to partitioning the power system into multiple areas each operated by an independent Transmission System Operator (TSO). Coordination of local control actions taken by those TSOs is a very challenging problem as poorly coordinated operation of TSOs may endanger the power system security by increasing the risk of blackouts. This second part of the paper presents simulation results on a 12-bus 3-area test system, using the distributed model predictive control paradigm in order to design a coordinating model-based feedback controller. Coordination requires that each agent has some information on what the future evolution of its power flows to and from its neighbors will be. It will be shown that how the communication between agents can avoid voltage collapse in circumstances where classical uncoordinated controllers fail.
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16

Travers, Matthew, Julian Whitman, and Howie Choset. "Shape-based coordination in locomotion control." International Journal of Robotics Research 37, no. 10 (March 24, 2018): 1253–68. http://dx.doi.org/10.1177/0278364918761569.

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Highly articulated systems are capable of executing a variety of behaviors by coordinating their many internal degrees of freedom to help them move more effectively in complex terrains. However, this inherent variety poses significant challenges that have been the subject of a great deal of previous work: What are the most effective or most efficient methods for achieving the intrinsic coordination necessary to produce desired global objectives? This work takes these questions one step further, asking how different levels of coordination, which we quantify in terms of kinematic coupling, affect articulated locomotion in environments with different degrees of underlying structure. We introduce shape functions as the analytical basis for specifying kinematic coupling relationships that constrain the relative motion among the internal degrees of freedom for a given system during its nominal locomotion. Furthermore, we show how shape functions are used to derive shape-based controllers (SBCs) that manage the compliant interaction between articulated bodies and the environment while explicitly preserving the inter-joint coupling defined by shape functions. Initial experimental evidence provides a comparison of the benefits of different levels of coordination for two separate platforms in environments with different degrees of inherent structure. The experimental results show that decentralized implementations, where there is relatively little inter-joint coupling, perform well across a spectrum of different terrains but that there are potential benefits to higher degrees of coupling in structured terrains. We discuss how this observation has implications related to future planning and control approaches that actively “tune” their underlying structure by dynamically varying the assumed level of coupling as a function of task specification and local environmental conditions.
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17

Chung, Jae H. "Control of an operator-assisted mobile robotic system." Robotica 20, no. 4 (June 24, 2002): 439–46. http://dx.doi.org/10.1017/s0263574702004113.

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In this paper, two different control methods are developed for an operator-assisted mobile robotic system for high load applications. For high load applications of mobile robots, an accurate tire model that considers wheel slip needs to be studied to achieve robustness of the system response. First, a simple operator-manipulator coordination system is developed based on explicit force control. Then, a position controller for the platform is designed to minimize the effect of wheel slip on control performance and integrated with the force controller for the operator-manipulator subsystem based on a motion coordination scheme. Then, a new type of human-robot coordination control method is developed, in which robust force control of the manipulator and impedance control of the mobile platform are integrated to achieve robust response and smooth interaction between the operator, the manipulator and the mobile platform. In simulation, the developed methods are compared for control performance on following the operator's motion intention.
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18

Johansson, Tobias, Sven Siverbo, and Carolina Camén. "Managing cooperation, coordination, and legitimacy." Accounting, Auditing & Accountability Journal 29, no. 6 (August 15, 2016): 1012–37. http://dx.doi.org/10.1108/aaaj-08-2014-1805.

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Purpose – The purpose of this paper is to create knowledge about what factors explain the design of control systems for contracted public services. Design/methodology/approach – Questionnaire data analyzed with structural equation models. Findings – Legitimacy-seeking is the most important driver in explaining intensity in control of contracted public services. Competition increases the intensity of control which is opposite to standard transaction cost reasoning. Coordination requirements do not affect the design of control systems for contracted public services. Research limitations/implications – The study suffers from limitations in the form of the use of perception and questionnaire data and imposes restrictions on empirical generalization. Practical implications – Supplier competition may add control costs rather than lower them. The strong focus on stakeholder alignment may induce more intensive control than necessary for supplier alignment. Originality/value – The authors add important knowledge on the determinants of control system design for contracted public sector services. The authors conceptualize and measure the control system in use in a more compelling manner than previous research.
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19

He, Shi, Guohua Cao, Guoqing Ma, Jingsong Duan, and Jimeng Bai. "Coordinated Optimization Control System of Big Data Intelligent Production Line." Wireless Communications and Mobile Computing 2022 (May 13, 2022): 1–14. http://dx.doi.org/10.1155/2022/1621445.

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A mature coordinated and optimized control system can bring timeliness and benefits to the production line. This paper firstly exemplifies the big data intelligent production line coordination control system model and algorithm. They, respectively, include the intelligent production line coordination control system model, the big data intelligent coordination control model, and the hardware key electrical control system model of the air conditioning assembly big data intelligent production line, taking the tea production line as an example. The parameters of the coordinated control model are identified by the algorithm and system design, which considers and adjusts the functional requirements of the system to maintain the stable operation of the software system and store and transmit efficiently. To achieve efficient fit between functional requirements and modules, it created a complete assembly automation production line that meets actual needs. Then, the experiment of big data intelligent coordination and optimization control system based on cement clinker production line is carried out, and the intelligent coordination control system of cement clinker is designed. Compared with the data, it can be seen that in the coordinated control mode, the fluctuation of the temperature and pressure of the main steam is smaller, which can make the entire power generation system operate safely and stably. Based on the fuzzy control of the waste heat boiler and steam turbine load coordination control requirements, the reasonable coordination control of the boiler system and the generator set is carried out through fuzzy control, and the optimization and adjustment are carried out. Finally, the comparison and analysis of fuzzy control and traditional control experiments are carried out, and a coordinated optimization system using fuzzy control is obtained. It requires less feeding material, consumes less energy in the production process, generates more power, and can increase the average income by 4.87%, which has a good practical application prospect.
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Vallacher, Robin R., Andrzej Nowak, and Michal Zochowski. "Dynamics of social coordination." Interaction Studies 6, no. 1 (April 18, 2005): 35–52. http://dx.doi.org/10.1075/is.6.1.04val.

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Close relationships are described in terms of the temporal coordination of behavior based on the similarity of partners’ internal states (e.g., moods, personality traits). Coupled nonlinear dynamical systems (logistic equations) were used to model the emergence, maintenance, and disruption of coordination in such relationships. For each system (partner), there was a control parameter corresponding to an internal state and a dynamical variable corresponding to behavior. Computer simulations investigated how the temporal coordination of behavior in a relationship reflects the similarity of partners’ control parameters and the strength of coupling (mutual influence between partners). Several types of coordination were observed, with in-phase synchronization occurring for strong coupling and similarity in internal states. In a variation of the model, each system could adjust its own control parameter to synchronize its dynamics with that of the other system. Simulation results provide insight into several topics in the study of close relations and group dynamics.
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Kim, Changhoon, and Jae H. Chung. "Modeling and Control of a New Robotic Deburring System." Journal of Manufacturing Science and Engineering 129, no. 5 (February 23, 2007): 965–72. http://dx.doi.org/10.1115/1.2738514.

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This paper discusses the modeling and control of a robotic manipulator with a new deburring tool, which integrates two pneumatic actuators to take advantage of a double cutting action. A coordination control method was developed by decomposing the robotic deburring system into two subsystems: the arm and the deburring tool. A decentralized control approach was pursued in which suitable controllers were designed for the two subsystems in the coordination scheme. Robust feedback linearization was utilized to minimize the undesirable effect of external disturbances, such as static and Coulomb friction and nonlinear compliance of the pneumatic cylinder stemming from the compressibility of air. The developed coordination control method demonstrated its efficacy in terms of deburring accuracy and speed. Simulation results show that the developed robotic deburring system significantly improves the accuracy of the deburring operation.
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22

Ganguly, Kishan Kumar, Moumita Asad, and Kazi Sakib. "Decentralized Self-adaptation in the Presence of Partial Knowledge with Reduced Coordination Overhead." International Journal of Information Technology and Computer Science 14, no. 1 (February 8, 2022): 9–19. http://dx.doi.org/10.5815/ijitcs.2022.01.02.

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Decentralized self-adaptive systems consist of multiple control loops that adapt some local and system-level global goals of each locally managed system or component in a decentralized setting. As each component works together in a decentralized environment, a control loop cannot take adaptation decisions independently. Therefore, all the control loops need to exchange their adaptation decisions to infer a global knowledge about the system. Decentralized self-adaptation approaches in the literature uses the global knowledge to take decisions that optimize both local and global goals. However, coordinating in such an unbounded manner impairs scalability. This paper proposes a decentralized self-adaptation technique using reinforcement learning that incorporates partial knowledge in order to reduce coordination overhead. The Q-learning algorithm based on Interaction Driven Markov Games is utilized to take adaptation decisions as it enables coordination only when it is beneficial. Rather than using unbounded number of peers, the adaptation control loop coordinates with a single peer control loop. The proposed approach was evaluated on a service-based Tele Assistance System. It was compared to random, independent and multiagent learners that assume global knowledge. It was observed that, in all cases, the proposed approach conformed to both local and global goals while maintaining comparatively lower coordination overhead.
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23

Moradzadeh, Mohammad, and René Boel. "Voltage Coordination via Communication in Large-Scale Multi-Area Power Systems. Part I: Principal." Advanced Materials Research 433-440 (January 2012): 7175–82. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.7175.

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This two-part paper deals with the coordination of the control actions in a network of many interacting components, where each component is controlled by independent control agents. As a case study we consider voltage control in large electric power systems, where ever-increasing pressures from the liberalization and globalization of the electricity market has led to partitioning the power system into multiple areas each operated by an independent Transmission System Operator (TSO). Coordination of local control actions taken by those TSOs is a very challenging problem as poorly coordinated operation of TSOs may endanger the power system security by increasing the risk of blackouts. This coordination problem involves many other issues such as communication, abstraction and last but not least optimization. This first part of the paper is devoted to the principals of the coordination control, addressing some of those issues using as a case study the problem of coordination control for avoiding voltage collapse in large-scale multi-area power systems.
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24

Green, Jordan R., Christopher A. Moore, Masahiko Higashikawa, and Roger W. Steeve. "The Physiologic Development of Speech Motor Control." Journal of Speech, Language, and Hearing Research 43, no. 1 (February 2000): 239–55. http://dx.doi.org/10.1044/jslhr.4301.239.

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This investigation was designed to describe the development of lip and jaw coordination during speech and to evaluate the potential influence of speech motor development on phonologic development. Productions of syllables containing bilabial consonants were observed from speakers in four age groups (i.e., 1-year-olds, 2-year-olds, 6-year-olds, and young adults). A video-based movement tracking system was used to transduce movement of the upper lip, lower lip, and jaw. The coordinative organization of these articulatory gestures was shown to change dramatically during the first several years of life and to continue to undergo refinement past age 6. The present results are consistent with three primary phases in the development of lip and jaw coordination for speech: integration, differentiation, and refinement. Each of these developmental processes entails the existence of distinct coordinative constraints on early articulatory movement. It is suggested that these constraints will have predictable consequences for the sequence of phonologic development.
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Bukov, V. N., A. M. Bronnikov, and N. I. Sel’vesyuk. "Model coordination-based decentralized control of composite multivariable system." Automation and Remote Control 70, no. 10 (October 2009): 1595–605. http://dx.doi.org/10.1134/s0005117909100014.

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26

Bakhtadze, Natalia N., Igor B. Yadykin, and Stanislav A. Vlasov. "Intelligent Distributed System of Power Generating Unit's Control Coordination." IFAC Proceedings Volumes 45, no. 6 (May 2012): 639–44. http://dx.doi.org/10.3182/20120523-3-ro-2023.00280.

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27

Fukuda, Toshio, H. Hosokai, and Ken Shimonaka. "Coordination Control in Artificial Fingers." Journal of Robotics and Mechatronics 1, no. 4 (December 20, 1989): 289–97. http://dx.doi.org/10.20965/jrm.1989.p0289.

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This paper deals with the coordination force distribution at the finger joints of an articulated hand, under the assumption that the articulated hand with multiple degrees of freedom and a multiple articulated joint structure grasps some objects. In this study, four algorithms for this force distribution problem in grasping objects are derived from the static equilibrium conditions. Furthermore, a method for changing contact and noncontact fingers in grasping is derived and some simulations are shown, where changing fingers implies that some non-contacting fingers begin to make contact with the object, while the other contacting fingers cease to contact it, keeping the stable grasping condition of the hand as a whole. Finally, based on the proposed five control algorithms, a control flow of stable grasping methods for the force distribution at each joint is made for an overall control of the finger system by determining grasping forces to changing grasping fingers.
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CHAOUIYA, CLAUDINE, GEORGE LIBEROPOULOS, and YVES DALLERY. "The extended kanban control system for production coordination of assembly manufacturing systems." IIE Transactions 32, no. 10 (October 2000): 999–1012. http://dx.doi.org/10.1080/07408170008967457.

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Wu, Wan Rong, and Jian Chao Yao. "Analysis on Composite Action Control Strategy of Separate Meter-In Separate Meter-Out Control System." Applied Mechanics and Materials 721 (December 2014): 342–48. http://dx.doi.org/10.4028/www.scientific.net/amm.721.342.

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Based on the shortcomings of traditional multi actuator composite action on its coordination and load adaptability, this paper has put forward a hydraulic system model where separate meter-in separate meter-out controls the multi actuator, according to different action working conditions of actuator, it has provided a composite control strategy based on pressure flow, and through AMEsim and MATLAB, it has established the composite action hydraulic transmission model of double-actuator system and simulation model of control system, and then conducted co-simulation to verify the designed controller’s good coordination and load adaptability to the separate meter-in and separate meter-out control system under different composite action working conditions.
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Liu, Jin, and Ze Yu Zhong. "Research of SVC Control System Based on Real-Time Operation System for Wind Farm." Advanced Materials Research 516-517 (May 2012): 1921–25. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.1921.

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Wind power generation was developed rapidly in China. And many wind farms are configured Dynamic Static Var Compensators (SVCs) as reactive power compensator, which can meet the dynamic demands of the reactive power compensation for the wind farm. The paper put forward a coordination control strategy of reactive power for wind farm based on embedded real-time operation system in DSP, and by using LabVIEW to realize PC management and network communication management, and provides the research foundation for coordination and the optimal control of reactive power in large wind farm.
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Chen, Xiao, Zhencai Zhu, Gang Shen, and Wei Li. "Tension coordination control of double-rope winding hoisting system using hybrid learning control scheme." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, no. 10 (January 23, 2019): 1265–81. http://dx.doi.org/10.1177/0959651818824009.

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Tension difference between ropes due to asynchronous hoisting, guide rail tilt, and friction jam restricts the application of double-rope winding hoisting systems that have high-security requirement. In this article, a hybrid adaptive iterative learning control scheme is presented for a double-rope winding hoisting system driven by permanent magnet synchronous motor systems. First, based on the discrete model of the wire rope, the mathematical model of the system is established. Subsequently, in order to reduce the tension difference of the wire ropes under impact, a hybrid control scheme based on iterative learning control and radial basis function neural network is proposed to improve the performance of the controller. A radial basis function neural network–based adaptive law is developed to compensate the uncertainties of the movable headgear sheave subsystem, and radial basis function neural network–based switching gains are applied to improve the disturbance compensation speed of the iterative learning controller. Stability of the overall closed-loop system under proposed controller is proved. Finally, the experimental results show that the proposed controller is effective and has better performance than traditional controllers.
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BARRIOS, ELENA RAMÍREZ, and JUAN G. DÍAZ OCHOA. "IMPERFECT COORDINATION IN OPTIMIZATION." International Journal of Modern Physics C 20, no. 04 (April 2009): 527–38. http://dx.doi.org/10.1142/s0129183109013868.

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We present a novel optimization method for an Ising like system suspended in a lattice with nonstatic defects. Depending on the size of the experimental probe the system spontaneously defines a defect free lattice where the control function can be optimized using conventional methods as Metropolis heuristics. We illustrate this method in a lattice with variable defects and show how the magnetization of the system depends on the spontaneous definition of the defect-free lattice. This approximation should be useful as a basis for the definition of systems of agents with imperfect coordination.
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Asensi Tortajada, Ignacio, André Rummler, George Salukvadze, Carlos Solans Sánchez, and Kendall Reeves. "ATLAS Technical Coordination Expert System." EPJ Web of Conferences 214 (2019): 05035. http://dx.doi.org/10.1051/epjconf/201921405035.

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When planning an intervention on a complex experiment like ATLAS, the detailed knowledge of the system under intervention and of the interconnection with all the other systems is mandatory. In order to improve the understanding of the parties involved in an intervention, a rule-based expert system has been developed. On the one hand this helps to recognise dependencies that are not always evident and on the other hand it facilitates communication between experts with different backgrounds by translating between vocabularies of specific domains. To simulate an event this tool combines information from different areas such as detector control (DCS) and safety (DSS) systems, gas, cooling, ventilation, and electricity distribution. The inference engine provides a list of the systems impacted by an intervention even if they are connected at a very low level and belong to different domains. It also predicts the probability of failure for each of the components affected by an intervention. Risk assessment models considered are fault tree analysis and principal component analysis. The user interface is a web-based application that uses graphics and text to provide different views of the detector system adapted to the different user needs and to interpret the data
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34

Ford, Kenneth M., James Allen, Niranjan Suri, Patrick J. Hayes, and Robert Morris. "PIM: A Novel Architecture for Coordinating Behavior of Distributed Systems." AI Magazine 31, no. 2 (July 28, 2010): 9. http://dx.doi.org/10.1609/aimag.v31i2.2261.

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Process integrated mechanisms (PIM) offer a new approach to the problem of coordinating the activity of physically distributed systems or devices. Current approaches to coordination all have well-recognized strengths and weaknesses. We propose a novel architecture to add to the mix, called the Process Integrated Mechanism (PIM), which enjoys the advantages of having a single controlling authority while avoiding the structural difficulties that have traditionally led to its rejection in many complex settings. In many situations, PIMs improve on previous models with regard to coordination, security, ease of software development, robustness and communication overhead. In the PIM architecture, the components are conceived as parts of a single mechanism, even when they are physically separated and operate asynchronously. The PIM models offers promise as an effective infrastructure for handling tasks that require a high degree of time-sensitive coordination between the components, as well as a clean mechanism for coordinating the high-level goals of loosely coupled systems. PIM models enable coordination without the fragility and high communication overhead of centralized control, but also without the uncertainty associated with the system-level behavior of a MAS.The PIM model provides an ease of programming with advantages over both multi-agent sys-tems and centralized architectures. It has the robustness of a multi-agent system without the significant complexity and overhead required for inter-agent communication and negotiation. In contrast to centralized approaches, it does not require managing the large amounts of data that the coordinating process needs to compute a global view. In a PIM, the process moves to the data and may perform computations on the components where the data is locally available, sharing only the information needed for coordination of the other components. While there are many remaining research issues to be addressed, we believe that PIMs offer an important and novel tech-nique for the control of distributed systems.
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35

Shikimachi, K., N. Hirano, S. Nagaya, H. Kawashima, K. Higashikawa, and T. Nakamura. "System Coordination of 2 GJ Class YBCO SMES for Power System Control." IEEE Transactions on Applied Superconductivity 19, no. 3 (June 2009): 2012–18. http://dx.doi.org/10.1109/tasc.2009.2018491.

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36

Németh, Balázs. "Coordination of Lateral Vehicle Control Systems Using Learning-Based Strategies." Energies 14, no. 5 (February 26, 2021): 1291. http://dx.doi.org/10.3390/en14051291.

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The paper proposes a novel learning-based coordination strategy for lateral control systems of automated vehicles. The motivation of the research is to improve the performance level of the coordinated system compared to the conventional model-based reconfigurable solutions. During vehicle maneuvers, the coordinated control system provides torque vectoring and front-wheel steering angle in order to guarantee the various lateral dynamical performances. The performance specifications are guaranteed on two levels, i.e., primary performances are guaranteed by Linear Parameter Varying (LPV) controllers, while secondary performances (e.g., economy and comfort) are maintained by a reinforcement-learning-based (RL) controller. The coordination of the control systems is carried out by a supervisor. The effectiveness of the proposed coordinated control system is illustrated through high velocity vehicle maneuvers.
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37

Zhao, Hong Wei, Yi Ming Qi, Yu Qi Liu, and Shi Hui Pei. "Research on Grinding Control System Design Method Based on Multi-Agent System Model." Advanced Materials Research 694-697 (May 2013): 2125–29. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.2125.

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This paper proposes a Multi-Agent grinding control system model based on the blackboard model and in accordance with the Multi-Agent Systems modeling method . We hierarchical decompose of the grinding control task, establish a grinding control subsystem model, we establish the specific function of each subsystem model and establish a complete multi-Agent grinding control system structure. We establish a Multi-Agent System based on the blackboard model and multi-Agent Communication and Coordination Mechanism. This paper describes the architecture of the control multi-Agent grinding system and its function results in details and designs a blackboard coordination model, the results shared collaborative mechanisms and Multi-Agent collaboration conflict resolution strategies. This system model reduces the difficulty of the operation of the grinding control, multi-Agent collaboration enhance the system's ability to execute, decision-making consultation mechanisms improves the control precision and accuracy of the system.
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38

She, Juan, Kun Zou, Jin Hua Wen, and Ruo Chen Shi. "Research on Control System of Intelligent Creel Multi-Robot." Applied Mechanics and Materials 541-542 (March 2014): 1115–19. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.1115.

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Multi-robot System (MRS) for intelligent creel consists of automatic winder, transferring, transiting and supplying robot and provides the possibilities of the flexibility and automation of textile industry workshop. Based on the principle of centralized management and distributed control the system and designs distributed control system (DCS) of Multi-robot for intelligent creel based on CAN bus. Layered architecture is established consisting of main control layer, communication layer, synchronous coordination layer and execution layer. According to the complex characteristics of the system, a synchronous controller is designed to allocate and coordinate task,improving the intelligence of the system. Coordination controller also realizes function of CAN Bridge.
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39

Zhang, Ji Meng, Hong Shuo Wang, and Ben De Gan. "The Isolator of Industrial Automatic Control System Selection and Application." Advanced Materials Research 301-303 (July 2011): 1714–18. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.1714.

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In the automatic control system of industrial field, the production process monitoring and control process is dependent on Mutual coordination of various automation instrument, computer and corresponding actuators. The coordination is accurate or not, the key is signal transmission quality among those agencies. The application and selection of isolation device directly affect signal transmission. This paper discusses the application and choose of industrial site isolator from isolation principle, the principle and choose for isolator, commissioning and parameter selection based on practical application.
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40

McIntyre, M., W. Dixon, D. Dawson, and E. Tatlicioglu. "Passive coordination of nonlinear bilateral teleoperated manipulators." Robotica 24, no. 4 (January 3, 2006): 463–76. http://dx.doi.org/10.1017/s026357470500247x.

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Significant research has been aimed at the development and control of teleoperator systems due to both the practical importance and the challenging theoretical nature of the problem. Two controllers are developed in this paper for a nonlinear teleoperator system that target coordination of the master and slave manipulators and passivity of the overall system. The first controller is proven to yield a semi-global asymptotic result in the presence of parametric uncertainty in the master and slave manipulator dynamic models. The second controller yields a global asymptotic result despite unmeasurable user and environmental input forces. To develop each controller, a transformation encodes the coordination and passivity objectives in the closed loop system. The coordinated system is forced to track a dynamic system to assist in meeting all control objectives. Finally, continuous nonlinear integral feedback terms are used to accommodate for incomplete system knowledge for both controllers. Lyapunov-based techniques are used to prove that all control objectives are met and that all signals are bounded.
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41

Liu, Man Guo, and Ke Zhang. "Attitude Coordination Control of Spacecraft Formation." Applied Mechanics and Materials 263-266 (December 2012): 795–802. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.795.

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In this paper, we study adaptive attitude synchronization of spacecraft formation with switching topology. By introducing a novel adaptive control architecture and by transforming the attitude dynamics into Euler-Lagrange form, decentralized controllers are developed, which allow for parametric uncertainties and unknown external disturbances. Based upon graph theory and Lyapunov stability theory, rigid mathematical analysis on system stability is provided. A distinctive feature of this work is to address the adaptive attitude synchronization with general directed information flow. It is shown that arbitrary desired constant relative orientations within the group or with respect to any external references can be attained. Simulation results are provided to demonstrate the effectiveness of the obtained results.
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42

Martínez-García, Edgar A., Rafael Torres-Córdoba, Victor M. Carrillo-Saucedo, and Elifalet López-González. "Neural control and coordination of decentralized transportation robots." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 5 (March 9, 2018): 519–40. http://dx.doi.org/10.1177/0959651818756777.

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This work presents the modeling, control architecture and simulation of a decentralized multi-robot system for transporting material in a warehouse. Each robot has a task scheduler comprising two different neural networks for task allocation and fault tolerance. The path planner consists of a first-order dynamical state equation to control the robot’s four-wheel asynchronous driving and steering, as well as a partial differential equation to coordinate speeds and arrival times. The task allocation and motion coordination combine the robot’s kinematic control law with a one-layer artificial neural network that classifies five-dimensional symbolic logical equations that define the state transitions between asynchronous events. These events include carry and fetch, material supply, robots stop, obstacle avoidance and battery state. Another multilayer artificial neural network reads the same state inputs for fault detection and recovery. The two neural systems feed forward a navigation planner, which uses a partial differential equation to coordinate the robot’s speed and its relaxation time with respect to the robot in front of it. The energy cost is measured by a Lagrangian function. The proposed planning control scheme was computationally validated through parallel computing simulations. The system is shown to be consistent, reliable and feasible, and it allows for fast navigational tasks.
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43

Chiu, George T. C., and Masayoshi Tomizuka. "Coordinated Position Control of Multi-Axis Mechanical Systems." Journal of Dynamic Systems, Measurement, and Control 120, no. 3 (September 1, 1998): 389–93. http://dx.doi.org/10.1115/1.2805413.

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Position coordination of multi-axis mechanical systems is studied. Under the assumption that the coordination objective can be represented by smooth functions of the positions of the multiple axes control systems, a necessary coupling effect can be introduced to each axis by the proper choice of a Lyapunov-like function. The resulting, control law requires the knowledge of the desired trajectories and their time derivatives as well as actual position and velocity information. Implementation of the proposed control algorithm on a CNC feed drive system shows significant improvement in dimensional accuracy during high speed contouring.
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44

Chung, Jae H., and Changhoon Kim. "Modeling and control of a new robotic deburring system." Robotica 24, no. 2 (October 31, 2005): 229–37. http://dx.doi.org/10.1017/s0263574705002067.

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This paper discusses the modeling and control of a robotic manipulator with a new deburring tool, which integrates two pneumatic actuators to take advantage of a double cutting action. A coordination control method is developed by decomposing the robotic deburring system into two subsystems; the arm and the deburring tool. A decentralized control approach is pursued, in which suitable controllers were designed for the two subsystems in the coordination scheme. In simulation, three different tool configurations are considered: rigid, single pneumatic and integrated pneumatic tools. A comparative study is performed to investigate the deburring performance of the deburring arm with the different tools. Simulation results show that the developed robotic deburring system significantly improves the accuracy of the deburring operation.
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45

Li, Fu Peng, Min Lan Jiang, and Zhang Ying Guo. "Intelligent Vehicle-Mounted Alcohol Detection Control System." Applied Mechanics and Materials 109 (October 2011): 248–52. http://dx.doi.org/10.4028/www.scientific.net/amm.109.248.

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The paper designed an intelligent vehicle-mounted alcohol detection control system, which is based on S3C2440 chip. The system tested the driver's response ability and eye-hand coordination in interactive way to determine whether the driver could control the vehicle. The system introduced psychology method innovatively. It can overcome the disadvantage of only depending on the gas alcohol concentration as the control basis, and enhance the applicability of the system.
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46

Li, Junru, Youyou Lu, Yiming Zhang, Qing Wang, Zhuo Cheng, Keji Huang, and Jiwu Shu. "SwitchTx." Proceedings of the VLDB Endowment 15, no. 11 (July 2022): 2881–94. http://dx.doi.org/10.14778/3551793.3551838.

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Online-transaction-processing (OLTP) applications require the underlying storage system to guarantee consistency and serializability for distributed transactions involving large numbers of servers, which tends to introduce high coordination cost and cause low system performance. In-network coordination is a promising approach to alleviate this problem, which leverages programmable switches to move a piece of coordination functionality into the network. This paper presents a fast and scalable transaction processing system called SwitchTx. At the core of SwitchTx is a decentralized multi-switch in-network coordination mechanism, which leverages modern switches' programmability to reduce coordination cost while avoiding the central-switch-caused problems in the state-of-the-art Eris transaction processing system. SwitchTx abstracts various coordination tasks (e.g., locking, validating, and replicating) as in-switch gather-and-scatter (GaS) operations, and offloads coordination to a tree of switches for each transaction (instead of to a central switch for all transactions) where the client and the participants connect to the leaves. Moreover, to control the transaction traffic intelligently, SwitchTx reorders the coordination messages according to their semantics and redesigns the congestion control combined with admission control. Evaluation shows that SwitchTx outperforms current transaction processing systems in various workloads by up to 2.16X in throughput, 40.4% in latency, and 41.5% in lock time.
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47

DENG, Zhiguang, HE Zhengxi, ZHU Biwei, ZHU Jialiang, LV Xin, and WU Qian. "Application of feedforward predictive control in DC furnace coordination system." Journal of Physics: Conference Series 1780, no. 1 (February 1, 2021): 012005. http://dx.doi.org/10.1088/1742-6596/1780/1/012005.

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48

MIN, Hai-Bo, Yuan LIU, Shi-Cheng WANG, and Fu-Chun SUN. "An Overview on Coordination Control Problem of Multi-agent System." Acta Automatica Sinica 38, no. 10 (2012): 1557. http://dx.doi.org/10.3724/sp.j.1004.2012.01557.

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49

Liu, Shiming, William A. Gruver, and Dilip B. Kotak. "Holonic coordination and control of an automated guided vehicle system." Integrated Computer-Aided Engineering 9, no. 3 (July 2, 2002): 235–50. http://dx.doi.org/10.3233/ica-2002-9304.

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50

Niu, Hai Ming, Zhong Xu Han, Huan Pao Huang, and Hong Min Zhang. "A Model Improvement of a Supercritical Unit Coordination Control System." Advanced Materials Research 680 (April 2013): 488–94. http://dx.doi.org/10.4028/www.scientific.net/amr.680.488.

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Base on the mathematical model of a common coordinated control system in field of thermal, by analyzing characteristics of the controlled object supercritical once-through boiler coordinated control system, the article puts forward suggestions for improvement, and verifies the results of the analysis by test.
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