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Journal articles on the topic 'Control allocation design'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Luppi, P. A., L. Braccia, P. G. Rullo, and D. A. R. Zumoffen. "Plantwide Control Design Based on the Control Allocation Approach." Industrial & Engineering Chemistry Research 57, no. 1 (December 21, 2017): 268–82. http://dx.doi.org/10.1021/acs.iecr.7b02966.

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2

Ji, Sang-Won, Van Phuoc Bui, B. Balachandran, and Young-Bok Kim. "Robust control allocation design for marine vessel." Ocean Engineering 63 (May 2013): 105–11. http://dx.doi.org/10.1016/j.oceaneng.2013.02.004.

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3

Xu, Biao, Di Zhou, Zhuo Liang, and Guofeng Zhou. "Robust adaptive sliding sector control and control allocation of a missile with aerodynamic control surfaces and reaction jets." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 3 (August 6, 2016): 397–406. http://dx.doi.org/10.1177/0954410016638870.

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Based on L2 optimal control allocation, an autopilot design approach is proposed for the missile with aerodynamic control surfaces and reaction jets. The control system involves a control allocator and a virtual control law. A robust sliding sector with a parameter update law is proposed to deal with unmatched parameter uncertainties and unknown disturbances in the system. Then a control law is designed to produce virtual control effort signals by using the robust adaptive sliding sector. In order to distribute the virtual signals to the aerodynamic control surfaces and reaction jets on the missile, a control allocator is designed by L2 optimal control allocation strategy. Simulation results show that the missile control system tracks the acceleration command fast and smoothly. In the tracking process, aerodynamic control surfaces cooperate with reaction jets, verifying the effectiveness of the proposed approach.

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4

Weinmann, A. "Control system design based on holistic eigenvalue allocation." e & i Elektrotechnik und Informationstechnik 119, no. 7-8 (July 2002): 256. http://dx.doi.org/10.1007/bf03159154.

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5

Weinmann, A. "Control system design based on holistic eigenvalue allocation." e & i Elektrotechnik und Informationstechnik 118, no. 4 (April 2001): 167–73. http://dx.doi.org/10.1007/bf03159524.

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6

Mu, Rongjun, and Xin Zhang. "Control Allocation Design of Reaction Control System for Reusable Launch Vehicle." Abstract and Applied Analysis 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/541627.

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During the early stage of reusable launch vehicle (RLV) reentry flight, reaction control system (RCS) is the major attitude control device. RCS, which is much different from the atmospheric steer’s control, requires a well designed control allocation system to fit the attitude control in high altitude. In this paper, an indexed control method was proposed for RCS preallocation, a 0-1 integer programming algorithm was designed for RCS allocation controller, and then this RCS scheme’s effect was analyzed. Based on the specified flight mission simulation, the results show that the control system is satisfied. Moreover, several comparisons between the attitude control effect and RCS relevant parameters were studied.

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7

Burken, John J., Ping Lu, Zhenglu Wu, and Cathy Bahm. "Two Reconfigurable Flight-Control Design Methods: Robust Servomechanism and Control Allocation." Journal of Guidance, Control, and Dynamics 24, no. 3 (May 2001): 482–93. http://dx.doi.org/10.2514/2.4769.

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8

Theilliol, D., A. Chamseddine, Y. Zhang, and P. Weber. "Optimal reconfigurable control allocation design based on reliability analysis." IFAC Proceedings Volumes 42, no. 8 (2009): 692–97. http://dx.doi.org/10.3182/20090630-4-es-2003.00115.

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9

Perez, Tristan, and Alejandro Donaire. "Constrained Control Design for Dynamic Positioning of Marine Vehicles with Control Allocation." Modeling, Identification and Control: A Norwegian Research Bulletin 30, no. 2 (2009): 57–70. http://dx.doi.org/10.4173/mic.2009.2.2.

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10

Bagguley, Paul, C. R. Littler, and G. Salaman. "Class at Work: The Design, Allocation and Control of Jobs." British Journal of Sociology 38, no. 4 (December 1987): 594. http://dx.doi.org/10.2307/590924.

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11

Baruh, H. "Pole Allocation Using Matrix Perturbations." Journal of Dynamic Systems, Measurement, and Control 109, no. 2 (June 1, 1987): 189–91. http://dx.doi.org/10.1115/1.3143839.

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An approach is presented for pole placement in controllers and observers. The first-order perturbation of the system eigensolution is used to analyze and design the feedback gains. The accuracy of the control (or observer) design depends on how small a perturbation the control gains are on the uncontrolled system, and it is assessed qualitatively and quantitatively.

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12

Chen, Yung-Yue, Chun-Yen Lee, Ya-Xuan Huang, and Tsung-Tso Yu. "Control Allocation Design for Torpedo-Like Underwater Vehicles with Multiple Actuators." Actuators 11, no. 4 (March 29, 2022): 104. http://dx.doi.org/10.3390/act11040104.

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For solving the transformation problem between the desired nonlinear control laws and installed actuators’ input commands of torpedo-like underwater vehicles, one closed-form control allocation method is proposed in this article. The goal of this study is to optimally distribute the desired nonlinear control law to each single actuator installed on the torpedo-like underwater vehicle. The first step of this proposed control allocation method is to arrange the required types, numbers, and positions of the installed actuators and then build up the thrust configuration matrix for the developed torpedo-like underwater vehicle. In this step, the desired nonlinear control law can be optimally distributed to output commands of installed actuators based on the optimization method. Next, through collecting the input and output data of each installed actuator by practical experiments, the mathematical transformation of input and output commands of each installed actuator can be found. For verifying performance of this proposed control allocation method, simulations with the robust trajectory tracking design of a torpedo-like underwater vehicle with four fins, four rudders, and one thruster are executed in this investigation.

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13

Chen, Dong-liang, and Guo-ping Liu. "An adaptive control allocator for autonomous vehicles with parameter uncertainty." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 7 (April 4, 2018): 807–18. http://dx.doi.org/10.1177/0959651818760129.

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In this article, an adaptive control allocation scheme for a class of nonlinear vehicles is proposed. The parameter uncertainty of the effectors is considered in the design of the control allocation algorithm. A reference model is integrated in the framework to overcome the negative effects brought by the parameter uncertainty. The optimum of the solution is discussed for a class of objectives. Stability proof is given. Compared to most existing methods, the conditions to guarantee the stability of the system are relaxed, which is addressed in the theoretical analysis and the experiment. Finally, a digital simulation and an experiment based on a spacecraft simulator are implemented. The results of the simulation and the experiment validate the effectiveness and advantages of the proposed adaptive control allocator.

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Ji, Sang-Won, and Young-Bok Kim. "Control Allocation and Controller Design for Marine Vessel based on H∞Control Approach." Journal of Ocean Engineering and Technology 26, no. 3 (June 30, 2012): 20–25. http://dx.doi.org/10.5574/ksoe.2012.26.3.020.

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15

Cui, Yuwei, Aijun Li, Biao Duan, and Shabbir Wasif. "Reconfiguration Control Design of UAV against Actuator Faults Based on Control Allocation Method." International Journal of Aerospace Engineering 2022 (May 28, 2022): 1–14. http://dx.doi.org/10.1155/2022/4481553.

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The paper concentrates on the problem of fault-tolerant control of UAV against actuator faults from the perspective of flight control system architecture. Using backstepping control method and inverse optimization theory, the design of backstepping optimal control law was constructed. Based on the fault monitoring mechanism of vehicle management computer in the distributed flight control and control allocation system, a fault-tolerant control design method was established in the case of multiple failure modes of the actuators, which compensates the influence caused by the failures. Finally, the effectiveness of the proposed strategy was verified by numerical simulation.

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Liu, Jinglong, Jing Wen, Xiaoxiong Liu, and Qizhi He. "A Modified Backstepping Control and Dynamic Control Allocation Method for Command Tracking." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 1 (February 2018): 117–23. http://dx.doi.org/10.1051/jnwpu/20183610117.

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This paper uses the modified Backstepping (BS) Control method and the Dynamic Control Allocation (DCA) method to solve the problem that when the fighter aircraft under different flight conditions, it will be adaptively tracking different commands. Firstly, we introduce the classical Lyapunov method and classical backstepping control method, and then propose a modified backstepping control method to be applied by general flight control system model. Finally, for the problem that the common control allocation method can't compensate for ignoring the actuator dynamics, a dynamic control allocation method is introduced, and it is successfully applied to the design of the whole closed loop control system. The controller reserves the stable nonlinear term of the system, eliminates the unstable nonlinear term, and minimize the impact of ignoring the actuator dynamic through the dynamic allocation. The simulation results show that the methods in this paper have a good response. It can be implemented in different flight conditions with a good performance of command tracking and lots of robustness.

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17

Liu, Xiaofeng. "Statistical Power and Optimum Sample Allocation Ratio for Treatment and Control Having Unequal Costs per Unit of Randomization." Journal of Educational and Behavioral Statistics 28, no. 3 (September 2003): 231–48. http://dx.doi.org/10.3102/10769986028003231.

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This article considers optimal sample allocation between the treatment and control condition in multilevel designs when the costs per sampling unit vary due to treatment assignment. Optimal unequal allocation may reduce the cost from that of a balanced design without sacrificing any power. The optimum sample allocation ratio depends only on the cost ratio between the treatment and control regardless of whether the randomization of sampling units occurs at levels 1, 2, or 3. Power functions for the exact tests for the main effect of treatment are derived for prototypical multilevel designs with unequal sample sizes in the treatment and control condition.

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18

Liu, Jun Gang, and Guo Jun Huang. "Study on Task Optimization of Distributed Gas-Electric Hybrid Control System." Applied Mechanics and Materials 864 (April 2017): 242–48. http://dx.doi.org/10.4028/www.scientific.net/amm.864.242.

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Refer to the task allocating and optimization problem of distributed gas-electric hybrid control system, this paper establishes graph model of system hardware structure and application event of the distributed real-time control. The task allocation in distributed application process is abstract as mapping between those two sets. A task allocation scheme of minimum load bus is proposed from the angles of system bus and message mapping. Combined with the design of the gas-electric hybrid power system, genetic algorithm is adopted to solve the optimization problem, and the program verification and the bus analysis are carried out on the experimental bench. The test results show that the proposed scheme can satisfy all kinds of task constraints and resource constraints, the efficiency of the bus is improved, and consumption of resources is reduced.

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19

Chang, Tian Qing, Dong Chen, and Jun Wei Chen. "Research on Man-Machine Function Allocation of Tank Fire Control System." Advanced Materials Research 580 (October 2012): 160–64. http://dx.doi.org/10.4028/www.scientific.net/amr.580.160.

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Man-machine function allocation is an important step in new type tank fire control system design. Aiming at the problem of engineering application abilities deficiency in current method, a flow of function allocation is proposed. System working mechanism, functions and tasks are analyzed to define the level of automation and guide preliminary design. AHP is adopted to seek out the optimal plan. The method can offer new theory reference for intelligent tank fire control system design.

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20

de Castro, Ricardo, Mara Tanelli, Rui Esteves Araújo, and Sergio M. Savaresi. "Design of safety-oriented control allocation strategies for overactuated electric vehicles." Vehicle System Dynamics 52, no. 8 (May 21, 2014): 1017–46. http://dx.doi.org/10.1080/00423114.2014.916811.

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21

Tabbara, Mohammad, Anders Rantzer, and Dragan Nešić. "On controller & capacity allocation co-design for networked control systems." Systems & Control Letters 58, no. 9 (September 2009): 672–76. http://dx.doi.org/10.1016/j.sysconle.2009.06.002.

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22

Yu, Jingjing, Qi Xi, Runlei Li, Hui Tian, and Yaxi Xie. "Stochastic allocation strategy for irregular arrays based on geometric feature control." International Journal of Distributed Sensor Networks 16, no. 5 (May 2020): 155014772092177. http://dx.doi.org/10.1177/1550147720921775.

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Irregularities in microphone distribution enrich the diversity of spatial differences to decorrelate interferences from the beamforming target. However, the large degrees of freedom of irregular placements make it difficult to analyse and optimize array performance. This article proposes fast and feasible optimal irregular array design methods with improved beamforming performance for human speech. Important geometric features are extracted to be used as the input vector of the neural network structure to determine the optimal irregular arrangements of sensors. In addition, a hyperbola design method is proposed to directly cluster microphones in the hyperbola areas to produce rich differential distance entropies and yield significant signal-to-noise ratio improvements. These methods can be easily applied to guide non-computer-aided optimal irregular array designs for human speech in acoustic scenes such as immersive cocktail party environments.

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23

Ossmann, Daniel, and Manuel Pusch. "Fault Tolerant Control of an Experimental Flexible Wing." Aerospace 6, no. 7 (June 30, 2019): 76. http://dx.doi.org/10.3390/aerospace6070076.

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Active control techniques are a key factor in today’s aircraft developments to reduce structural loads and thereby enable highly efficient aircraft designs. Likewise, increasing the autonomy of aircraft systems aims to maintain the highest degree of operational performance also in fault scenarios. Motivated by these two aspects, this article describes the design and validation of a fault tolerant gust load alleviation control system on a flexible wing in a wind tunnel. The baseline gust load alleviation controller isolates and damps the weakly damped first wing bending mode. The mode isolation is performed via an H 2 -optimal blending of control inputs and measurement outputs, which allows for the design of a simple single-input single-output controller to actively damp the mode. To handle actuator faults, a control allocation scheme based on quadratic programming is implemented, which distributes the required control energy to the remaining available control surfaces. The control allocation is triggered in fault scenarios by a fault detection scheme developed to monitor the actuators using nullspace based filter design techniques. Finally, the fault tolerant control scheme is verified by wind tunnel experiments.

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24

Dong, Chaoyang, Yao Lu, and Qing Wang. "Tracking Control Based on Control Allocation with an Innovative Control Effector Aircraft Application." Mathematical Problems in Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/5037678.

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This paper proposes a control allocation method for the tracking control problem of a class of morphing aircraft with special actuators which are different from the conventional actuation surfaces. This design of actuators can bring about some potential advantages to the flight vehicles; however, due to the integral constraints, the desired control cannot be performed accurately; therefore, it leads to undesirable tracking errors, so influencing the performance of the system. Because the system could be control allocated, based on the designed cost function that describes the tracking errors, the cuckoo search algorithm (CSA) is introduced to search for the optimum solution within the calculated actuator execution commands that are equivalent to the desired commands. Several improvement measures are proposed for boosting the efficiency of the CSA and ensuring reasonable solutions. Simulation results show that the proposed control allocation method is necessary and effective, and the improvement measures are helpful in obtaining the optimum solution.

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25

Viele, Kert, Kristine Broglio, Anna McGlothlin, and Benjamin R. Saville. "Comparison of methods for control allocation in multiple arm studies using response adaptive randomization." Clinical Trials 17, no. 1 (October 19, 2019): 52–60. http://dx.doi.org/10.1177/1740774519877836.

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Background/Aims: Response adaptive randomization has many polarizing properties in two-arm settings comparing control to a single treatment. The generalization of these features to the multiple arm setting has been less explored, and existing comparisons in the literature reach disparate conclusions. We investigate several generalizations of two-arm response adaptive randomization methods relating to control allocation in multiple arm trials, exploring how critiques of response adaptive randomization generalize to the multiple arm setting. Methods: We perform a simulation study to investigate multiple control allocation schemes within response adaptive randomization, comparing the designs on metrics such as power, arm selection, mean square error, and the treatment of patients within the trial. Results: The results indicate that the generalization of two-arm response adaptive randomization concerns is variable and depends on the form of control allocation employed. The concerns are amplified when control allocation may be reduced over the course of the trial but are mitigated in the methods considered when control allocation is maintained or increased during the trial. In our chosen example, we find minimal advantage to increasing, as opposed to maintaining, control allocation; however, this result reflects an extremely limited exploration of methods for increasing control allocation. Conclusion: Selection of control allocation in multiple arm response adaptive randomization has a large effect on the performance of the design. Some disparate comparisons of response adaptive randomization to alternative paradigms may be partially explained by these results. In future comparisons, control allocation for multiple arm response adaptive randomization should be chosen to keep in mind the appropriate match between control allocation in response adaptive randomization and the metric or metrics of interest.

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Roy, Jarrod A., David A. Papa, and Igor L. Markov. "Fine Control of Local Whitespace in Placement." VLSI Design 2008 (September 23, 2008): 1–10. http://dx.doi.org/10.1155/2008/517919.

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In modern design methodologies, a large fraction of chip area during placement is left unused by standard cells and allocated as “whitespace.” This is done for a variety of reasons including the need for subsequent buffer insertion, as a means to ensure routability, signal integrity, and low coupling capacitance between wires, and to improve yield through DFM optimizations. To this end, layout constraints often require a certain minimum fraction of whitespace in each region of the chip. Our work introduces several techniques for allocation of whitespace in global, detail, and incremental placement. Our experiments show how to efficiently improve wirelength by reallocating whitespace in legal placements at the large scale. Additionally, for the first time in the literature, we empirically demonstrate high-precision control of whitespace in designs with macros and obstacles. Our techniques consistently improve the quality of whitespace allocation of top-down as well as analytical placement methods and achieve low penalties on designs from the ISPD 2006 placement contest with minimal interconnect increase.

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Rai, Prativa, Mrinal Kanti Ghose, and Hiren Kumar Deva Sarma. "Design of utility functions for game-based channel allocation in cognitive radio wireless sensor network." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 2 (May 1, 2021): 1013. http://dx.doi.org/10.11591/ijeecs.v22.i2.pp1013-1023.

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Cognitive radio enabled wireless sensor network is capable of reducing the spectrum scarcity problem of the wireless networks. Looking at the scarcity of available bandwidth, and the high growth in the number of communication devices in recent times, cognitive radio technology has proven to be a promising technology for the days to come. The application of Game Theory in cognitive radio networks has been visible in recent research works. However, only limited literature is available in which possibilities of applying the game-theory based approaches for the challenging task of channel assignment in cognitive radio wireless sensor are available in the literature. It is understood that the crux of the solution to the problem of scheming games for allocation of the channel is centered on the selection of the utility function in order to increase the efficiency of the channel allocation algorithm. Accordingly, the study regarding the influence of several utility functions on the performance of the corresponding channel allocation algorithm is important. Such a study enables designers to arrive at the optimal utility function to be used in game-theory based channel allocation algorithms, and the same is explored to the best extent, in this paper. The detailed procedure of allocating channels to all the contending nodes through game-based channel allocation has been discussed in this paper. Moreover, the performance of six different utility functions proposed which can be used for channel allocation using game theory has been evaluated for respective performances through MATLAB-based simulations.

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Lu, Tong-Yu, Ka Pui Chung, Wai-Yin Poon, and Siu Hung Cheung. "Response-adaptive treatment allocation for clinical studies with ordinal responses." Statistical Methods in Medical Research 29, no. 2 (March 7, 2019): 359–73. http://dx.doi.org/10.1177/0962280219834061.

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Ordinal responses are common in clinical studies. Although the proportional odds model is a popular option for analyzing ordered-categorical data, it cannot control the type I error rate when the proportional odds assumption fails to hold. The latent Weibull model was recently shown to be a superior candidate for modeling ordinal data, with remarkably better performance than the latent normal model when the data are highly skewed. In clinical trials with ordinal responses, a balanced design is common, with equal sample allocation for each treatment. However, a more ethical approach is to adopt a response-adaptive allocation scheme in which more patients receive the better treatment. In this paper, we propose the use of the doubly adaptive biased coin design to generate treatment allocations that benefit the trial participants. The proposed treatment allocation scheme not only allows more patients to receive the better treatment, it also maintains compatible test power for the comparison of treatment efficiencies. A clinical example is used to illustrate the proposed procedure.

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29

Chen, Yong, Xin Min Dong, Ya Li Chen, Long Wang, Jun Guo, and Hong Bo Li. "Cascaded Control Allocation in Overactuated Aircraft via Mixed Optimization." Advanced Materials Research 383-390 (November 2011): 5700–5706. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.5700.

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This paper presents the principle and application of a class of cascaded optimal control allocation approach for overactuated aircraft. The design is based on mixed optimized targets consisting of two parts: the tracking error of virtual control and the effectors’ error related to the preferred control vector. At each step, the unconstrained least square problem is solved through simple calculation to obtain the optimal solution. If any optimal commands exceed the position limit or rate limit, a scheme is designed to choose at most one effector set to its limit and the remaining virtual controls are redistributed among other unsaturated control effectors. The Simulation based on the ADMIRE model shows that the effectiveness of the proposed approach comparing with Cascaded Generalized Inverse and Fixed-Point Method.

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30

Huey, Beverly Messick, and Deborah A. Boehm-Davis. "Individual Differences in the Performance of a Process Control Task." Proceedings of the Human Factors Society Annual Meeting 36, no. 12 (October 1992): 897–901. http://dx.doi.org/10.1518/107118192786750322.

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The allocation of functions and tasks to humans and machines is seldom considered as a step in system design. In those cases where function allocation is considered, it is usually based on fixed schemes for all operators; however, it is possible that the optimal allocation scheme is not the same across individuals. In this research, two studies employed a pasteurizing plant simulation to investigate the effect of gender, age, education, and experience on system performance. Results of the first study revealed individual differences between males and females. However, gender was confounded with education and age. Because this confound could not be removed with the available subject pool, a second study was conducted to separate the effects of age and education on performance. In this latter study, analyses revealed significant individual difference on performance. These data suggest that individual difference variables need to be examined more fully in the system design process.

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31

Yu, Zi Qiang, Xiao Hong Yin, Zhao Cao, Bin Bin Yao, Gang Liu, and Han Zhao. "Design of the Control System for Laser Guiding AGV." Advanced Materials Research 650 (January 2013): 488–92. http://dx.doi.org/10.4028/www.scientific.net/amr.650.488.

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Based on the analysis and design of the entire AGV system, this paper explores the function allocation and module partition of the AGV control system. The on-board control system for AGV is divided into five functional modules such as control, communication, position, safety and driving-steering module, and the hardware choice and designing for each module is described according to the AGV’s overall performance requirements. On this basis, the software structure of AGV is designed, providing a reliable and high-performance experimental platform for AGV motion control algorithm.

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Waters, Stephen M., Mark Voskuijl, Leo L. M. Veldhuis, and François J. J. M. M. Geuskens. "Control allocation performance for blended wing body aircraft and its impact on control surface design." Aerospace Science and Technology 29, no. 1 (August 2013): 18–27. http://dx.doi.org/10.1016/j.ast.2013.01.004.

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Chen, Yan-Kwang, Fei-Rung Chiu, Yueh-Chuen Huang, and Chien-Hua Yeh. "Product image allocation and inventory control of online stores." Kybernetes 43, no. 7 (July 29, 2014): 968–83. http://dx.doi.org/10.1108/k-11-2013-0256.

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Purpose – This study assumes image size and location, product substitution, and product supply to be factors influencing the purchase decision. Under such assumption, shelf-space allocation and inventory theories are integrated, and operating profit and cost of the online store under the supply policy that prevent stockouts are analyzed to develop an optimal model for inventory control and product image allocation. The paper aims to discuss these issues. Design/methodology/approach – The developed model takes both order cost and holding cost into account when calculating the total cost. As the model presented is an integer non-linear programming problem, this study adopts genetic algorithm to solve the problem. Findings – Numerical examples are provided in this study to demonstrate the applicability of the model and to illustrate the search for parameters that possess greater influence over the operating profit of the store. Originality/value – This study provides a mixed integer non-linear programming model for the joint optimization of graphic design and inventory control problem. Online store owners may take the results of this study as a reference for decision-making purposes.

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Heydaribeni, Nasimeh, and Achilleas Anastasopoulos. "Distributed Mechanism Design for Network Resource Allocation Problems." IEEE Transactions on Network Science and Engineering 7, no. 2 (April 1, 2020): 621–36. http://dx.doi.org/10.1109/tnse.2019.2923959.

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35

Lin, Yu-Hsiu, and Len-Kuo Hu. "The role of ownership on control right allocation and compensation contract design." Applied Economics Letters 18, no. 15 (October 2011): 1421–26. http://dx.doi.org/10.1080/13504851.2010.541148.

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36

Warner, Malcolm. "Book Review: Class at Work: The Design, Allocation and Control of Jobs." Journal of General Management 10, no. 3 (March 1985): 85–87. http://dx.doi.org/10.1177/030630708501000307.

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37

Morgan, David E. "Book Reviews : Class At Work: the Design, Allocation and Control of Jobs." Australian and New Zealand Journal of Sociology 22, no. 2 (August 1986): 310–12. http://dx.doi.org/10.1177/144078338602200220.

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Leng, Bo, Lu Xiong, Zhuoping Yu, and Tong Zou. "Allocation control algorithms design and comparison based on distributed drive electric vehicles." International Journal of Automotive Technology 19, no. 1 (October 3, 2017): 55–62. http://dx.doi.org/10.1007/s12239-018-0006-3.

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39

Guikema, Seth D. "Incentive compatible resource allocation in concurrent design." Engineering Optimization 38, no. 2 (March 2006): 209–26. http://dx.doi.org/10.1080/03052150500420272.

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40

Wen, Qingji, and Bin-Jie Hu. "Integrated Communication and Control Design for Fuel-Efficient Vehicle Platooning." Electronics 10, no. 24 (December 14, 2021): 3117. http://dx.doi.org/10.3390/electronics10243117.

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As a promising application for autonomous driving, vehicle platooning aims at increasing traffic throughput, improving road safety, and reducing air pollution and fuel consumption. However, frequent traffic perturbations will bring more fuel consumption because vehicles driving in a platoon require more control to ensure safe driving, especially in high-density scenes. In this paper, considering the traffic perturbations and high-density scenes, we integrate communication and control systems to reduce the fuel consumption of a platoon. By obtaining the velocities of multiple vehicles ahead through a long-term evolution-vehicle (LTE-V) network, we propose a modified distributed model predictive control (DMPC) method to smooth traffic perturbations and handle the constraints of vehicle state and control. In addition, considering a limited number of uplink channels that can be reused in the platoon and the uncertainty of wireless channels, a radio resource allocation optimization problem in the LTE-V network is modeled. This problem is solved in two steps including maximum vehicle-to-vehicle (V2V) broadcast distance and minimum weight matching. This resource allocation scheme increases the platoon-based V2V broadcast distance while ensuring the ergodic capacity requirement of the cellular user (CUE) uplink communication and the reliability of platoon-based V2V communication. Simulation results show that the proposed method improves fuel efficiency compared to the existing schemes.

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Chen, L., Q. Dong, G. Zhang, and D. Duan. "Composite control system of hybrid-driven mid-altitude airship." Aeronautical Journal 122, no. 1248 (December 7, 2017): 173–204. http://dx.doi.org/10.1017/aer.2017.125.

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ABSTRACTIn general, an airship is equipped with hybrid-heterogeneous actuators: the aerodynamic surfaces, the vectored propellers and the buoyant ballonets. The aerodynamic surfaces have high efficiency in attitude control at high speed. However, vectored propellers are also introduced here for attitude control under the special working condition of low airspeed. Due to the lower thrust-to-weight ratio, the composite control of hybrid-heterogeneous actuators is the primary object in controller design for an airship. In composite attitude control, first the attitude moment allocation between aerodynamic control surfaces and vectored propellers is designed according to different dynamic airspeed, to achieve the smooth motion transition from low to high airspeed, then the weighted generalised inverse (WGI) is used to design the reconfigurable actuator allocation among the homogeneous multi-actuators, where the authority of every actuator can be decided by setting the corresponding value of the weight matrix, thus the control law is unchanged under different actuator configurations. Taking the mid-altitude airship as an example, the simulations of position control, trace tracking and altitude control are provided. Simulation results demonstrate that the attitude moments allocation obtains moment distribution between the aerodynamic surfaces and the vectored propellers under different airspeeds; the reconfigurable actuator allocation achieves a good distribution and reconfiguration among homogeneous actuators, thereby enhancing the reliability of the control system.

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Tsalatsanis, Athanasios, Ali Yalcin, and Kimon P. Valavanis. "Dynamic task allocation in cooperative robot teams." Robotica 30, no. 5 (August 17, 2011): 721–30. http://dx.doi.org/10.1017/s0263574711000920.

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SUMMARYIn this paper, a dynamic task allocation and controller design methodology for cooperative robot teams is presented. Fuzzy-logic-based utility functions are derived to quantify each robot's ability to perform a task. These utility functions are used to allocate tasks in real time through a limited lookahead control methodology partially based on the basic principles of discrete event supervisory control theory. The proposed controller design methodology accommodates flexibility in task assignments, robot coordination, and tolerance to robot failures and repairs. Implementation details of the proposed methodology are demonstrated through a warehouse patrolling case study.

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Morărescu, I. C., V. S. Varma, L. Buşoniu, and S. Lasaulce. "Space–time budget allocation policy design for viral marketing." Nonlinear Analysis: Hybrid Systems 37 (August 2020): 100899. http://dx.doi.org/10.1016/j.nahs.2020.100899.

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Yang, Peng Fei, Lu Xiong, and Zhuo Ping Yu. "Comparison of Control Allocation Algorithms Used in Stability Control of Four In-Wheel-Motors Drive Electric Vehicle." Applied Mechanics and Materials 437 (October 2013): 669–73. http://dx.doi.org/10.4028/www.scientific.net/amm.437.669.

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Design the stability control strategy of four in-wheel-motors drive electric vehicle (EV) based on control allocation. Two kinds of control allocation methods are designed in this paper, one is the quadratic programming (QP), and the other is a simplified optimization method (SOM). Comparing and evaluating the control strategies through the co-simulation with MATLAB software and CARSIM software. The results of the simulation show: both strategies could stabilize the vehicle posture well under critical condition. QP has more accuracy than SOM, and could rebuild the system automatically when the motor fails. But the SOM doesn’t need iteration, could be possible to use in the real vehicle.

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Xu, Shengfeng, Gang Zhu, Chao Shen, Yan Lei, and Zhangdui Zhong. "Analysis and Optimization of Resource Control in High-Speed Railway Wireless Networks." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/781654.

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This paper considers a joint optimal design of admission control and resource allocation for multimedia services delivery in high-speed railway (HSR) wireless networks. A stochastic network optimization problem is formulated which aims at maximizing the system utility while stabilizing all transmission queues under the average power constraint. By introducing virtual queues, the original problem is equivalently transformed into a queue stability problem, which can be naturally decomposed into three separate subproblems: utility maximization, admission control, and resource allocation. A threshold-based admission control strategy is proposed for the admission control subproblem. And a distributed resource allocation scheme is developed for the mixed-integer resource allocation subproblem with guaranteed global optimality. Then a dynamic admission control and resource allocation algorithm is proposed, which is suitable for distributed implementation. Finally, the performance of the proposed algorithm is evaluated by theoretical analysis and numerical simulations under realistic conditions of HSR wireless networks.

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Islam, Md Rafiul, Tamer Oraby, Audrey McCombs, Mohammad Mihrab Chowdhury, Mohammad Al-Mamun, Michael G. Tyshenko, and Claus Kadelka. "Evaluation of the United States COVID-19 vaccine allocation strategy." PLOS ONE 16, no. 11 (November 17, 2021): e0259700. http://dx.doi.org/10.1371/journal.pone.0259700.

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Background Anticipating an initial shortage of vaccines for COVID-19, the Centers for Disease Control (CDC) in the United States developed priority vaccine allocations for specific demographic groups in the population. This study evaluates the performance of the CDC vaccine allocation strategy with respect to multiple potentially competing vaccination goals (minimizing mortality, cases, infections, and years of life lost (YLL)), under the same framework as the CDC allocation: four priority vaccination groups and population demographics stratified by age, comorbidities, occupation and living condition (congested or non-congested). Methods and findings We developed a compartmental disease model that incorporates key elements of the current pandemic including age-varying susceptibility to infection, age-varying clinical fraction, an active case-count dependent social distancing level, and time-varying infectivity (accounting for the emergence of more infectious virus strains). The CDC allocation strategy is compared to all other possibly optimal allocations that stagger vaccine roll-out in up to four phases (17.5 million strategies). The CDC allocation strategy performed well in all vaccination goals but never optimally. Under the developed model, the CDC allocation deviated from the optimal allocations by small amounts, with 0.19% more deaths, 4.0% more cases, 4.07% more infections, and 0.97% higher YLL, than the respective optimal strategies. The CDC decision to not prioritize the vaccination of individuals under the age of 16 was optimal, as was the prioritization of health-care workers and other essential workers over non-essential workers. Finally, a higher prioritization of individuals with comorbidities in all age groups improved outcomes compared to the CDC allocation. Conclusion The developed approach can be used to inform the design of future vaccine allocation strategies in the United States, or adapted for use by other countries seeking to optimize the effectiveness of their vaccine allocation strategies.

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Abed, Ansam M., and Fadhil S. Hasan. "Design and optimization of multi user OFDM orthogonal chaotic vector shift keying communication system." Bulletin of Electrical Engineering and Informatics 10, no. 2 (April 1, 2021): 776–84. http://dx.doi.org/10.11591/eei.v10i2.2452.

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This paper study and present, power allocation strategy on sub-carriers of multiuser OFDM employed for orthogonal chaotic vector shift keying (MU OFDM-OCVSK) over multipath frequency selective fading channels. firstly, the MU OFDM-OCVSK system is modeled with power allocated on reference and information bearing subcarriers. Then, the computed bit error rate equation of the power allocation MU OFDM-OCVSK system is derived. The optimal power allocation strategy on subcarriers is obtained using convex optimization. Finally, compared with the traditional MU OFDM-DCSK and MU OFDM-OCVSK without power allocation system the proposed system can achieve an excellent BER performance under multipath Rayleigh fading channels. Numerical and Simulation results emphasize the remarkable features of the proposed optimal power allocation strategy.

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Xie, Li Yang, and Wen Qiang Lin. "Control Parameters and Quantification for System Reliability Design." Materials Science Forum 628-629 (August 2009): 215–20. http://dx.doi.org/10.4028/www.scientific.net/msf.628-629.215.

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The reliability of a mechanical system is not simply determined by the reliabilities of components composing the system. For a specified system configuration, system reliability depends on not only component reliability, but also the degree of the dependence among component failures, which can be characterized by load roughness in an extent. In the same way, system complexity depends on not only the number of components that the system contains but also the dependence among component failures. This paper analyzes the main factors that affect the relationship between system reliability and component reliabilities in term of component failure dependence. The factors include load uncertainty, component strength uncertainty, and load roughness as well. Traditional parameter describing system complexity is modified, new parameter to describe component complexity is defined. These parameters play important rule for system reliability design or system reliability allocation.

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Deng, Yulin, and David Kaber. "Effect of Vehicle Control Format on Driver Performance and Attention Allocation under Adaptive Cruise Control." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1510–14. http://dx.doi.org/10.1177/1541931218621342.

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Nowadays many major automobile manufacturers have implemented multiple novel control formats along with traditional manual controls in their vehicle models, as revealed by a vehicle survey. This study conducted a driving simulator-based assessment of driver visual behavior and performance in use of different vehicle control interfaces, while using adaptive cruise control (ACC; i.e., an automated assistance system controlling longitudinal motion of the vehicle). Findings suggest that touch screen controls lead to greater visual workload and degraded secondary task performance. Study results also demonstrated that redundancy of control formats (the combination of touch screen and manual controls) degrades secondary task performance. Results of this research are expected to provide applicable guidance for in-vehicle control format design.

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Luppi, P. A., S. Rodríguez del Portal, L. Braccia, and D. Zumoffen. "Plantwide control design using latent variables: An integration between control allocation and a measurement combination approach." Journal of Process Control 120 (December 2022): 159–76. http://dx.doi.org/10.1016/j.jprocont.2022.11.007.

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