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Journal articles on the topic 'Networked Control with delays'

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Author: Grafiati

Published: 11 March 2023

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1

Ge, Yuan, Qigong Chen, Ming Jiang, and Yiqing Huang. "Modeling of Random Delays in Networked Control Systems." Journal of Control Science and Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/383415.

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In networked control systems (NCSs), the presence of communication networks in control loops causes many imperfections such as random delays, packet losses, multipacket transmission, and packet disordering. In fact, random delays are usually the most important problems and challenges in NCSs because, to some extent, other problems are often caused by random delays. In order to compensate for random delays which may lead to performance degradation and instability of NCSs, it is necessary to establish the mathematical model of random delays before compensation. In this paper, four major delay models are surveyed including constant delay model, mutually independent stochastic delay model, Markov chain model, and hidden Markov model. In each delay model, some promising compensation methods of delays are also addressed.

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2

Li, Hongbo, Fuchun Sun, and Zengqi Sun. "Delay-Dependent Fuzzy Control of Networked Control Systems and Its Application." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/691370.

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This paper is concerned with the state feedback stabilization problem for a class of Takagi-Sugeno (T-S) fuzzy networked control systems (NCSs) with random time delays. A delay-dependent fuzzy networked controller is constructed, where the control parameters are ndependent on both sensor-to-controller delay and controller-to-actuator delay simultaneously. The resulting NCS is transformed into a discrete-time fuzzy switched system, and under this framework, the stability conditions of the closed-loop NCS are derived by defining a multiple delay-dependent Lyapunov function. Based on the derived stability conditions, the stabilizing fuzzy networked controller design method is also provided. Finally, simulation results are given to illustrate the effectiveness of the obtained results.

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3

Wang, Yilin, Hamid Reza Karimi, and Zhengrong Xiang. "Delay-Dependent Control for Networked Control Systems with Large Delays." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/643174.

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We consider the problems of robust stability and control for a class of networked control systems with long-time delays. Firstly, a nonlinear discrete time model with mode-dependent time delays is proposed by converting the uncertainty of time delay into the uncertainty of parameter matrices. We consider a probabilistic case where the system is switched among different subsystems, and the probability of each subsystem being active is defined as its occurrence probability. For a switched system with a known subsystem occurrence probabilities, we give a stochastic stability criterion in terms of linear matrix inequalities (LMIs). Then, we extend the results to a more practical case where the subsystem occurrence probabilities are uncertain. Finally, a simulation example is presented to show the efficacy of the proposed method.

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4

Bijami, Ehsan, and Malihe Maghfoori Farsangi. "A distributed control framework and delay-dependent stability analysis for large-scale networked control systems with non-ideal communication network." Transactions of the Institute of Measurement and Control 41, no. 3 (May 16, 2018): 768–79. http://dx.doi.org/10.1177/0142331218770493.

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Recently, the incorporation of telecommunication technology with control systems provides the usability of remote measurement signals for the designing of networked controllers for geographically distributed large-scale systems. However, communication network introduces new difficulties such as time delays and packet dropouts to the design of networked controllers. This paper presents a new Distributed Networked Control Scheme (DNCS) and its stability analysis for stabilizing of large-scale systems with interconnected subsystems featuring both random delays and random packet dropouts in their communication links. Firstly, a general model for large scale distributed networked system consisting of subsystems is used in which the state of each subsystem has its own time varying delay and there are also delays and packet dropouts in their interconnection communication links. To compensate the influence of subsystems on each other and enhance performance and stability margin of the closed-loop system, a suitable distributed control scheme is proposed. The stability criteria are provided based on Lyapunov-Krasovskii and Linear Matrix Inequality (LMI) techniques. For this, a new type of Lyapunov-Krasovskii functional and certain slack matrices are developed to conclude some LMI-based delay-dependent theorems for designing the control law, as well as the stabilizing of the DNCS. To evaluate the proposed method, three illustrative examples are provided. To indicate the efficiency of the suggested approach, a small-gain-based approach and an observer-based consensus method are applied for comparison. Simulation results show the effectiveness of the proposed approach to enhance the performance of large-scale networked systems among a non-ideal communication network.

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5

Wang, Yan Ping, Qi Xin Zhu, and Zhi Ping Li. "Optimal State Feedback Control in Operator Domain for Multi-Rate Networked Control Systems with Long Time Delay." Applied Mechanics and Materials 241-244 (December 2012): 1672–76. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.1672.

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By multi-rate networked control systems (NCS), we mean the sampling periods of the sensor, the controller and the actuator in networked control systems are not the same, that is to say there are more than one sampling rate in networked control systems. For the long time delay multi-rate NCS with event-driven controller and actuator, a stochastic discrete model is established under operator. The state feedback control laws for the multi-rate NCS in operator domain are designed by using a dynamic programming approach. The derived optimal LQG controller can be used as a delay-compensator for multi-rate NCS with long time delays. An example is given to verify the theory results of this paper.

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6

Naghavi, S. Vahid, A. A. Safavi, Mohammad Hassan Khooban, S. Pourdehi, and Valiollah Ghaffari. "A robust control strategy for a class of distributed network with transmission delays." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 35, no. 5 (September 5, 2016): 1786–813. http://dx.doi.org/10.1108/compel-08-2015-0287.

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Purpose The purpose of this paper is to concern the design of a robust model predictive controller for distributed networked systems with transmission delays. Design/methodology/approach The overall system is composed of a number of interconnected nonlinear subsystems with time-varying transmission delays. A distributed networked system with transmission delays is modeled as a nonlinear system with a time-varying delay. Time delays appear in distributed systems due to the information transmission in the communication network or transport of material between the sub-plants. In real applications, the states may not be available directly and it could be a challenge to address the control problem in interconnected systems using a centralized architecture because of the constraints on the computational capabilities and the communication bandwidth. The controller design is characterized as an optimization problem of a “worst-case” objective function over an infinite moving horizon. Findings The aim is to propose control synthesis approach that depends on nonlinearity and time varying delay characteristics. The MPC problem is represented in a time varying delayed state feedback structure. Then the synthesis sufficient condition is provided in the form of a linear matrix inequality (LMI) optimization and is solved online at each time instant. In the rest, an LMI-based decentralized observer-based robust model predictive control strategy is proposed. Originality/value The authors develop RMPC strategies for a class of distributed networked systems with transmission delays using LMI-Based technique. To evaluate the applicability of the developed approach, the control design of a networked chemical reactor plant with two sub-plants is studied. The simulation results show the effectiveness of the proposed method.

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7

Zhang, Jinhui, James Lam, and Yuanqing Xia. "Output feedback delay compensation control for networked control systems with random delays." Information Sciences 265 (May 2014): 154–66. http://dx.doi.org/10.1016/j.ins.2013.12.021.

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8

Liu, Zhong Min, Yi Wei Feng, and Dong Song Luo. "New Approaches for Network-Based Control Systems with Time-Varying Delays." Applied Mechanics and Materials 152-154 (January 2012): 1821–27. http://dx.doi.org/10.4028/www.scientific.net/amm.152-154.1821.

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In this paper, a delay distribution based stability analysis and synthesis approach for networked control systems (NCSs) of network communication delays is proposed. A bounded delay control model is established to describe the NCSs. Then, delay distribution-dependent NCSs stability criteria are derived in the form of linear matrix inequalities (LMIs). Also, the problem of HΚ performance analysis for NCSs with time varying delays components is also studied. The results are illustrated by numerical examples.

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9

Benítez-Pérez, H., A. Benítez-Pérez, J. Ortega-Arjona, and O. Esquivel-Flores. "Fuzzy Networked Control Systems Design Considering Scheduling Restrictions." Advances in Fuzzy Systems 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/927878.

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Nowadays network control systems present a common approximation when connectivity is the issue to be solved based on time delays coupling from external factors. However, this approach tends to be complex in terms of time delays. Therefore, it is necessary to study the behavior of the delays as well as the integration into differential equations of these bounded delays. The related time delays needs to be known a priory but from a dynamic real-time behavior. To do so, the use of priority dynamic Priority exchange scheduling is performed. The objective of this paper is to show a way to tackle multiple time delays that are bounded and the dynamic response from real-time scheduling approximation. The related control law is designed considering fuzzy logic approximation for nonlinear time delays coupling, where the main advantage is the integration of this behavior through extended state space representation keeping certain linear and bounded behavior and leading to a stable situation during events presentation by guaranteeing stability through Lyapunov.

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10

Pang, Zhong-Hua, Zhen-Yi Liu, Zhe Dong, and Tong Mu. "An Event-Triggered Networked Predictive Control Method Using an Allowable Time Delay." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 5 (September 20, 2022): 768–75. http://dx.doi.org/10.20965/jaciii.2022.p0768.

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An event-triggered network predictive control method, which uses allowable time delays, was developed for networked control systems with random network delays, packet disorders, and packet dropouts in the feedback and forward channels. In this method, random communication constraints are uniformly treated as a time delay at each time instant. Subsequently, based on a time-delay state feedback control law, the proposed method is used to actively compensate for the time delay that exceeds the allowable. In addition, the introduction of an event-triggered mechanism reduces communication loads and saves network resources. A necessary and sufficient stability condition for the closed-loop system is provided, which is independent of random time delays and is related to the allowable delay. Finally, the simulation results of the two systems verified the effectiveness of the proposed method.

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11

LI, SHANBIN, YONGQIANG WANG, FENG XIA, and YOUXIAN SUN. "GUARANTEED COST CONTROL OF NETWORKED CONTROL SYSTEMS WITH TIME-DELAYS AND PACKET LOSSES." International Journal of Wavelets, Multiresolution and Information Processing 04, no. 04 (December 2006): 691–706. http://dx.doi.org/10.1142/s0219691306001543.

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In this paper, the random time-delays and packet losses issues of networked control systems (NCS) within the framework of guaranteed cost control for Markovian jump linear systems (MJLSs) are addressed. A new delay-dependent sufficient condition for the existence of guaranteed cost controller and an upper bound of the cost function are presented by a new stochastic Lyapunov–Krasovskii functional. The state feedback problem for such system is formulated as a convex optimization over a set of linear matrix inequalities (LMIs) which can be very efficiently solved by interior-point methods. As examples to verify the proposed method, two plants in the networked setup are considered. The simulation results demonstrate the effectiveness of the method.

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12

Gopalakrishnan, Karthik, and Hamsa Balakrishnan. "Control and Optimization of Air Traffic Networks." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (May 3, 2021): 397–424. http://dx.doi.org/10.1146/annurev-control-070720-080844.

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The air transportation system connects the world through the transport of goods and people. However, operational inefficiencies such as flight delays and cancellations are prevalent, resulting in economic and environmental impacts. In the first part of this article, we review recent advances in using network analysis techniques to model the interdependencies observed in the air transportation system and to understand the role of airports in connecting populations, serving air traffic demand, and spreading delays. In the second part, we present some of our recent work on using operational data to build dynamical system models of air traffic delay networks. We show that Markov jump linear system models capture many of the salient characteristics of these networked systems. We illustrate how these models can be validated and then used to analyze system properties such as stability and to design optimal control strategies that limit the propagation of disruptions in air traffic networks.

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13

Nguyen, Quang, and Vojtech Veselý. "Design of Robust Guaranteed Cost PID Controller for Networked Control Systems." Journal of Electrical Engineering 61, no. 2 (March 1, 2010): 114–19. http://dx.doi.org/10.2478/v10187-010-0016-5.

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Design of Robust Guaranteed Cost PID Controller for Networked Control SystemsThe paper addresses the problem of an output feedback guaranteed cost controller design for Networked Control Systems (NCSs) with time-delay and polytopic uncertainties. By constructing a new parameter-dependent Lyapunov functional and applying the free-weighting matrices technique, the parameter-dependent, delay-dependent design method will be obtained to synthesize PID controllers achieving a guaranteed cost such that the NCSs can be stabilized for all admissible uncertainties and time-delays. Finally, numerical examples are given to illustrate the effectiveness of the proposed method.

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14

Qiu, Li, Qin Luo, Shanbin Li, and Bugong Xu. "Modeling and Output Feedback Control of Networked Control Systems with Both Time Delays; and Packet Dropouts." Mathematical Problems in Engineering 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/609236.

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This paper is concerned with the problem of modeling and output feedback controller design for a class of discrete-time networked control systems (NCSs) with time delays and packet dropouts. A Markovian jumping method is proposed to deal with random time delays and packet dropouts. Different from the previous studies on the issue, the characteristics of networked communication delays and packet dropouts can be truly reflected by the unified model; namely, both sensor-to-controller (S-C) and controller-to-actuator (C-A) time delays, and packet dropouts are modeled and their history behavior is described by multiple Markov chains. The resulting closed-loop system is described by a new Markovian jump linear system (MJLS) with Markov delays model. Based on Lyapunov stability theory and linear matrix inequality (LMI) method, sufficient conditions of the stochastic stability and output feedback controller design method for NCSs with random time delays and packet dropouts are presented. A numerical example is given to illustrate the effectiveness of the proposed method.

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15

Yang, Rongni, Yaru Yu, Jian Sun, and Hamid Reza Karimi. "Event-based networked predictive control for networked control systems subject to two-channel delays." Information Sciences 524 (July 2020): 136–47. http://dx.doi.org/10.1016/j.ins.2020.03.031.

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16

Lu, Xiao, Qiyan Zhang, Xiao Liang, Haixia Wang, Chunyang Sheng, and Zhiguo Zhang. "Optimal control for networked control systems with multiple delays and packet dropouts." International Journal of Advanced Robotic Systems 17, no. 3 (May 1, 2020): 172988142091376. http://dx.doi.org/10.1177/1729881420913765.

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This article focuses on the problem of optimal linear quadratic Gaussian control for networked control systems with multiple delays and packet dropouts. The main contributions are twofold. Firstly, based on the introduced maximum principle for linear quadratic Gaussian system with multiple input delays and packet dropouts, a nonhomogeneous relationship between the state and costate is obtained, which is the key technical tool to solve the problem. Secondly, a necessary and sufficient condition for the optimal networked control problem is given in virtue of the coupled Riccati equations, and the explicit expression of the optimal controller is presented. Numerical examples are shown to illustrate the proposed algorithm.

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17

HONG, MING-WEI, CHUN-LIANG LIN, BING-MIN SHIU, and NABIL AOUF. "STABILIZING NETWORKED PNEUMATIC CONTROL SYSTEMS WITH TIME DELAYS." International Journal of Computational Intelligence and Applications 08, no. 02 (June 2009): 209–23. http://dx.doi.org/10.1142/s1469026809002527.

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It has been known that time delays may not only degrade the performance of the closed-loop control systems, but also induce instability due to the introduction of extra phase lag. The focus of this paper is to find out a way to design a robust controller for networked control systems (NCSs) with time-varying communication delays. To this aim, a mixed fuzzy-PID/neural network compensating scheme is proposed so as to alleviate the influence resulting from uncertain communication delays while maintaining system performance. A condition ensuring stability of the NCS is derived from the system's input–output viewpoint. The effectiveness and superiority of our proposed approach are fully verified in an experimentally networked pneumatic control system.

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18

Meng, Xiang Yin, Shi De Xiao, and Hui Ping Huang. "Observable State Space Realization of Networked MIMO System for a Novel Virtual Observer-Based Delay Compensation." Advanced Materials Research 482-484 (February 2012): 1840–50. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.1840.

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With the ever increasing complexity of cyber-physical system, the coupling and interconnection between distributed nodes lead to a complicated description in mathematics. For example, time delays cannot be ignored in the cyber-physical system modeling. And delay compensation often requires the delayed Multi-Input-Multi-Output (MIMO) system to be presented in state space model and all time delays to be combined to sole side of input or output. The aim of this paper is to model the MIMO system with multiple delays in state space form and simultaneously combine both input and output delays into output channel only. In this paper, following up with the modeling of Networked MIMO System, an observable state-space realization of delayed transfer function matrix is developed, including the case with repeated poles. Meanwhile, multiple time delays are combined and allocated to the output side only. Based on the observable state space model, an observer can be designed and contributed to the delay compensation. Derivation and simulation results prove that the resulting model of Networked Control System (NCS) through the proposed modeling method is equivalent with the original networked MIMO system with both input and output delays in terms of input-output relationship, and thus it can be used in the prospective observer-based delay.

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19

Benítez-Pérez, Héctor, Jorge Ortega-Arjona, Oscar Esquivel-Flores, Jared A. Rojas-Vargas, and Andrés Álvarez-Cid. "A Fuzzy Networked Control System Following Frequency Transmission Strategy." International Journal of Computers Communications & Control 11, no. 1 (November 16, 2015): 11. http://dx.doi.org/10.15837/ijccc.2016.1.2158.

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At present, network control systems employ a common approximation to solve the connectivity issue due to time delays coupled with external factors . However, this approach tends to be complex in terms of time delays, and the inherent local phase is missing. Therefore, it is necessary to study the behavior of the delays as well as the integration of the differential equations of these bounded delays. The related time delays need to be known a priori, but from a dynamic real-time perspective in order to understand the dynamic phase behavior. The objective of this paper is to demonstrate the inclusion of the data frequency transmission and time delays that are bounded as parameters of the dynamic response from a real-time scheduling approximation, considering the local phase situation. The related control law is designed considering a fuzzy logic approximation for nonlinear time delays coupling. The main advantage is the integration of this behavior through extended state space representation. This keeps certain linear and bounded behavior leading to a stable situation during an events presentation, based on an accurate data transmission rate. An expected result is that the basics of the local phase missing as a result of the local bounded time delays from the lack of tide synchronization conforms to the modeling approximation.

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20

Yi, Hyun-Chul, Cheol-Jin An, and Joon-Young Choi. "Compensation of Time-Varying Delay in Networked Control System over Wi-Fi Network." International Journal of Computers Communications & Control 12, no. 3 (April 23, 2017): 415. http://dx.doi.org/10.15837/ijccc.2017.3.2617.

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In this study, we design a state predictor-based output feedback controller that compensates for unavoidable time-varying network delays in networked control systems (NCSs) over Wi-Fi networks. We model time-varying network delays as timevarying input delays of NCSs over Wi-Fi networks. The designed controller consists of a linear quadratic regulator (LQR), a full-order observer, and a time-varying stepahead state predictor. The state predictor plays a key role in compensating for the time-varying input delay by providing the LQR with an estimation of future states ahead by the current network delay time. The time-varying network delays are acquired in real time by measuring the time differences between sent and received control data packets. We verify the stability and compensation performance of the designed controller by performing extensive experiments for an NCS in which a rotary inverted pendulum is controlled over Wi-Fi networks.

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21

Zhao, Hong. "Stability of Discrete-Time Network Control Systems with Time-Varying Delays." Advanced Materials Research 971-973 (June 2014): 1334–37. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1334.

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This paper proposes delay-dependent stability conditions of discrete-time networked control systems (NCSs) with unknown, time-varying and bounded delays using Lyapunov-Krasovskii functional and the improved free-weighting matrix approach. Moreover, the conditions are extended to the NCSs with time-varying structured uncertainties.

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22

Sun, Ping, Shou Wei Hu, and Wei Wang. "Simulation on Networked Munitions System Control with Time Delay." Applied Mechanics and Materials 347-350 (August 2013): 11–14. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.11.

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Networked munitions system is becoming more and more important with the development of modern electronic technology. This new generation of ground-based munitions are much more intelligent for the capability they have to trace targets, communicate with each other and order a killing node for vehicles caught in the kill-zone . It is useful to study and attempt to model through simulations the interaction between enemy targets and the whole munitions system . This paper is to propose a simulation-based model to study the performances of the weapon system. Especially, the sensors which sense the environment and the weapons which attack the targets are connected with wireless networks that will bring time delay to the system. We focus our efforts to evaluate how time delays from wireless communication affect the control performance of the weapon. This study introduces models for sensors and communication routing mechanisms , as well as the servo system and vehicle targets. A series of simulation trials to analyze and compare the effects of time delays have on the killing efficiency. The results of the study indicate in general that communication delay have the most effect on the systems.

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23

Kim, Won-jong, Kun Ji, and Ajit Ambike. "Networked Real-Time Control Strategy Dealing With Stochastic Time Delays and Packet Losses." Journal of Dynamic Systems, Measurement, and Control 128, no. 3 (June 21, 2005): 681–85. http://dx.doi.org/10.1115/1.2232692.

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A novel model-predictive-control strategy with a timeout scheme and p-step-ahead state estimation is presented in this paper to overcome the adverse influences of stochastic time delays and packet losses encountered in network-based distributed real-time control. An open-loop unstable magnetic-levitation (maglev) test bed was constructed and employed for its experimental verification. The compensation algorithms developed in this paper deal with the network-induced stochastic time delays and packet losses in both the forward path and the feedback path simultaneously. With the p-sampling-period delay upper bound, the networked control system (NCS) can also accommodate up to p−1 successive packet losses. Experimental results demonstrate the feasibility and effectiveness of this networked real-time control strategy.

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24

Zeng, Hong-Bing, Lei Ding, Shen-Ping Xiao, and Fei Yu. "Improved Stabilization Method for Lurie Networked Control Systems." Scientific World Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/789398.

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The problem of stabilization of Lurie networked control systems (NCSs) is investigated in this paper. The network-induced delays in NCSs are assumed to be time-varying and bounded. By utilizing a reciprocally convex technique to consider the relationship between the network-induced delay and its varying interval, a new absolute stability condition is derived in terms of linear matrix inequalities (LMIs). Based on the obtained condition, an improved cone complementary linearisation (CCL) iteration algorithm is presented to design a state feedback controller. The effectiveness of the proposed method is verified by a numerical example.

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Yoo, Ho-Jun, and Oh-Kyu Kwon. "NETWORKED CONTROL SYSTEMS DESIGN WITH TIME-VARYING DELAYS." IFAC Proceedings Volumes 38, no. 1 (2005): 48–53. http://dx.doi.org/10.3182/20050703-6-cz-1902.00408.

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Liu, G. P., Yuanqing Xia, and D. Rees. "PREDICTIVE CONTROL OF NETWORKED SYSTEMS WITH RANDOM DELAYS." IFAC Proceedings Volumes 38, no. 1 (2005): 85–90. http://dx.doi.org/10.3182/20050703-6-cz-1902.01056.

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27

Selivanov, Anton, and Emilia Fridman. "Predictor-based networked control under uncertain transmission delays." Automatica 70 (August 2016): 101–8. http://dx.doi.org/10.1016/j.automatica.2016.03.032.

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28

Xiaoli Luan, Peng Shi, and Fei Liu. "Stabilization of Networked Control Systems With Random Delays." IEEE Transactions on Industrial Electronics 58, no. 9 (September 2011): 4323–30. http://dx.doi.org/10.1109/tie.2010.2102322.

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29

Zhao, Xilin, Zhenyu Lin, Bo Fu, Yang Yang, and Jimin Ma. "A Distributed AGC Method considering Two-Channel Random Delays and Their Difference between Interconnected Power Systems." Journal of Electrical and Computer Engineering 2019 (April 11, 2019): 1–14. http://dx.doi.org/10.1155/2019/4261304.

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With the emergence of the concept of smart grid, the networked automatic generation control (AGC) method has been more and more important for secondary frequency control due to its characteristics such as openness and flexibility. However, the networked AGC system also presents some defects such as time delays and packet dropouts. The existence of time delays makes the traditional AGC strategies more challenging. A novel AGC method is proposed in this paper to mitigate the negative effects of time delays. Firstly, a multiarea power system model is built under the consideration of two-channel time delays: from controller to actuator and from sensor to controller. More practically, the difference of delays between areas is also exhibited in the model. Thus, from the predictive characteristics of model predictive control (MPC), a method of selection with optimization is presented to obtain the appropriate control variable when delays exist. Furthermore, three cases, (a) no processing for delay, (b) control sequence selection, (c) control sequence selection with optimization, are analyzed. The frequency and area control error (ACE) performance are evaluated with step load perturbation and random load perturbation. The simulation results indicate that the system controlled by the proposed method has desired dynamic performances. Consequently, the feasibility and effectiveness of the proposed method are verified.

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30

Krokavec, Dusan, and Anna Filasová. "Exponential stability of networked control systems with network-induced random delays." Archives of Control Sciences 20, no. 2 (January 1, 2010): 165–86. http://dx.doi.org/10.2478/v10170-010-0011-x.

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Exponential stability of networked control systems with network-induced random delaysIn this paper, the problem of exponential stability for the standard form of the state control, realized in a networked control system structure, is studied. To deal with the problem of stability analysis of the event-time-driven modes in the networked control systems the delayed-dependent exponential stability conditions are reformulated and proven. Based on the delay-time dependent Lyapunov-Krasovskii functional, exponential stability criteria are derived. These criteria are expressed as a set of linear matrix inequalities and their structure can be modified to use the bilinear inequality techniques.

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31

Rigatos, Gerasimos. "Flatness‐based control approach to networked control under sensor delays." IET Collaborative Intelligent Manufacturing 1, no. 2 (May 22, 2019): 39–47. http://dx.doi.org/10.1049/iet-cim.2018.0013.

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32

Zhao, Hong. "Modeling and Stability of Networked Cascade Control Systems." Advanced Materials Research 971-973 (June 2014): 1238–41. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1238.

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In this paper the modeling and stability analysis of networked cascade control systems (NCCSs) are discussed. A class of continuous-time NCCSs model with time-varying delays is described, in which the network-induced delays are assumed to be unknown, time-varying, and bounded. Based on the NCCSs model, the stability conditions of the NCCSs are proposed using Lyapunov-Krasovskii functional and the free-weighting matrix approach.

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Fan, Zeming, Xiaojun Yu, Hao Wan, Meilin Kang, Yuan Liu, Yuye He, and Gaoxi Xiao. "A Time-Delay-Bounded Data Scheduling Algorithm for Delay Reduction in Distributed Networked Control Systems." Mathematical Problems in Engineering 2020 (July 21, 2020): 1–12. http://dx.doi.org/10.1155/2020/8290879.

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As a key feature of networked control systems (NCSs), the time delays induced by communication medium sharing and data exchange over the system components could largely degrade the NCS performances or may even cause system instability, and thus, it is of critical importance to reduce time delays within NCSs. This paper studies the time-delay reduction problem in distributed NCSs and presents a dual-way data scheduling mechanism for time-delay reductions in delay-bounded NCSs with time-varying delays. We assess the time delays and their influences on the NCSs first with various delay factors being considered and then describe a one-way scheduling mechanism for network-delay reductions in NCSs. Based upon such a method, a dual-way scheduling algorithm is finally proposed for distributed NCSs with different types of transmitted data packets. Experiments are conducted on a remote teaching platform to verify the effectiveness of the proposed dual-way scheduling mechanism. Results demonstrate that, with the stability time-delay bound considered within the scheduling process, the proposed mechanism is effective for NCS time-delay reductions while addressing the stability, control accuracy, and settling time issues efficiently. Such a proposed mechanism could also be implemented together with some other existing control algorithms for time-delay reductions in NCSs. Our work could provide both useful theoretical guidance and application references for stable tracking control of delay-bounded NCSs.

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Pan, Peng, Shun Jiang, and Feng Pan. "Event-triggered robust control for networked control systems with actuator failures and time-varying transmission delays." International Journal of Intelligent Computing and Cybernetics 8, no. 2 (June 8, 2015): 172–86. http://dx.doi.org/10.1108/ijicc-08-2014-0038.

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Purpose – The purpose of this paper is with robust control problem for event-triggered networked control systems (NCSs) with actuator failures and time-varying transmission delays. Design/methodology/approach – A random sequence is introduced to describe the actuator faults, and a novel event-triggering communication scheme is adopted in the sensor-to-controller channel. By taking the event-triggered mechanism and network transmission delay into consideration, a delay system model is constructed. Findings – Based on Lyapunov stability theory and free weighting matrix method, the feasibility criteria for co-designing both the controller gain and the trigger parameters are derived. Finally, a simulation example is exploited to demonstrate the effectiveness of the proposed linear matrix inequalities (LMIs) approach. Originality/value – The introduced approach is interesting for NCSs with actuator failures and time-varying transmission delays.

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Chen, Qiuxia, Ying Liu, and Haoqi Zhu. "Robust Output Feedback Model Predictive Control for a Class of Networked Control Systems with Nonlinear Perturbation." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/154158.

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This paper is concerned with the design problem of robust dynamic output feedback model predictive controllers for a class of discrete-time systems with time-varying network-induced delays and nonlinear perturbation. The designed controllers achieve on-line suboptimal receding horizon guaranteed cost such that the system can be stabilized for all admissible uncertainties. A novel delay compensation strategy is proposed to eliminate the effects of the time-varying network-induced delays. By using multistep prediction and the receding optimization, the delay-dependent sufficient condition is derived for the existence of delay compensation controllers. By employing the cone complementarity linearization (CCL) idea, a nonlinear minimization problem with linear matrix inequality (LMI) constraints is formulated to design the desired output feedback controllers, and an iterative algorithm involving convex optimization is presented to solve the nonlinear minimization problem. Finally, an example is given to illustrate the feasibility and effectiveness of the proposed results.

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Nafir, Noureddine, Mohamed Rouamel, Fayçal Bourahala, and Samir Bouzoualegh. "Delay-Dependent Stability Improvement for Networked Control Systems: a Sampled Data Approach." Algerian Journal of Signals and Systems 7, no. 1 (March 31, 2022): 40–46. http://dx.doi.org/10.51485/ajss.v7i1.160.

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This paper concerns the stability conditions and controller design for sampled-data networked control systems (NCSs) model subject to network communication delays, the main objective is to guarantee the maximum allowable upper bounds of network-induced time-varying delays that keep the NCSs stable. First, Lyapunov-Krasovskii functional with simple and double-integral terms is constructed considering both upper and lower bounds of network delay. Then, less conservative Linear Matrix Inequalities (LMIs) stability conditions are established using null terms to introduce free weighting matrices based on the Leibniz-Newton formula. Furthermore, Finsler's lemma is used for the relaxation of the obtained LMI's stability conditions using slack decision variables. It is also used to decouple Lyapunov-Krasovskii matrices from the system ones. The application of the proposed approach for different NCSs gives higher upper delay bounds compared with other methods.

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Jin, Yong Xian, Gao Feng Che, and Yi Sheng Guan. "Design of Networked Control Systems Based on Single-Neuron PID." Advanced Materials Research 219-220 (March 2011): 1101–4. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.1101.

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With the development of control theory and communication technology, networked control systems have got more and more attention. The traditional PID controller is no longer suitable to meet performance requirements of time-delay control systems. And communication network is introduced into control systems that makes systems arise some problems, such as time delays, data dropout and so on. These problems affect the control performance badly. A model based on the single-neuron PID controller for networked control systems is proposed to improve the control performance. The design method for controller is based on neural network, traditional PID controller and Smith predictive control. The simulation results represent the model we proposed has better control performance.

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Yang, Yanping, Dawei Zhang, and Qing-Long Han. "Networked active vibration control of structural systems: A nonsmall input delay approach." Journal of Vibration and Control 24, no. 22 (January 16, 2018): 5391–400. http://dx.doi.org/10.1177/1077546317753861.

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This paper investigates the networked active vibration control for a multi-degree-of-freedom structural system subject to modeling uncertainties, stochastic sensor faults, and earthquake excitations. By adopting a positive velocity feedback controller and introducing a communication network that produces proper network-induced delays and packet dropouts in the feedback control loop, the closed-loop system is first modeled by an uncertain stochastic system with a nonsmall interval time-varying input delay. Then a delay-dependent criterion is derived by employing a complete Lyapunov–Krasovskii functional such that the stochastic system with the proper nonzero input delay is stochastically stable with L2-gain performance, but unstable without delay. An iterative algorithm is presented to design the networked controller. A three-storey shear-beam building model subject to the El Centro 1940 earthquake is given to validate the proposed approach.

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Zhu, Chaoqun, and Ge Guo. "Optimal control of networked control systems with limited communication and delays." International Journal of Modelling, Identification and Control 17, no. 1 (2012): 55. http://dx.doi.org/10.1504/ijmic.2012.048639.

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Hristu-Varsakelis, D., and Lei Zhang. "LQG control of networked control systems with access constraints and delays." International Journal of Control 81, no. 8 (August 2008): 1266–80. http://dx.doi.org/10.1080/00207170701697742.

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Wang, Xiu-Lan, Chun-Guo Fei, and Zheng-Zhi Han. "Adaptive predictive functional control for networked control systems with random delays." International Journal of Automation and Computing 8, no. 1 (February 2011): 62–68. http://dx.doi.org/10.1007/s11633-010-0555-z.

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Wang, Yilin, Hamid Reza Karimi, and Zhengrong Xiang. "Control for Networked Control Systems with Time Delays and Packet Dropouts." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/635941.

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This paper is concerned with the control issue for a class of networked control systems (NCSs) with packet dropouts and time-varying delays. Firstly, the addressed NCS is modeled as a Markovian discrete-time switched system with two subsystems; by using the average dwell time method, a sufficient condition is obtained for the mean square exponential stability of the closed-loop NCS with a desired disturbance attenuation level. Then, the desired controller is obtained by solving a set of linear matrix inequalities (LMIs). Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

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Chen, Chun-Hsiung, Chun-Liang Lin, and Thong-Shing Hwang. "Stability of Networked Control Systems with Time-Varying Delays." IEEE Communications Letters 11, no. 3 (March 2007): 270–72. http://dx.doi.org/10.1109/lcomm.2007.060716.

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Wang, Shenquan, Jian Feng, Qing Zhao, and Yulian Jiang. "Observer-based networked control with probabilistic interval input delays." International Journal of Control, Automation and Systems 12, no. 4 (July 1, 2014): 904–14. http://dx.doi.org/10.1007/s12555-013-0112-y.

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Kim, Sung Hyun. "H∞Output-Feedback Tracking Control for Networked Control Systems." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/724389.

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This paper investigates the observer-basedH∞tracking problem of networked output-feedback control systems with consideration of data transmission delays, data-packet dropouts, and sampling effects. Different from other approaches, this paper offers a single-step procedure to handle nonconvex terms that appear in the process of designing observer-based output-feedback control, and then establishes a set of linear matrix inequality conditions for the solvability of the tracking problem. Finally, two numerical examples are given to illustrate the effectiveness of our result.

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Dong, Zi Jian, Yong Guang Ma, and Wei Peng. "A Robust Control Approach to Network Control Systems with Short Time Delays." Applied Mechanics and Materials 416-417 (September 2013): 849–59. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.849.

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Network control system (NCS) is developed from the cross-integration of network technology and control technology, which is with advantages of sharing resources, low price, light weight, easy installation and maintenance, low energy consumption and so on. A robust control approach is proposed in this paper to solve the stabilization problem for networked control systems (NCS) with short time-varying delays. By considering state feedback controllers, the closed-loop NCS is described as a discrete-time linear uncertain system model. Then, the asymptotic stability condition for the obtained closed-loop NCS is derived, which establishes the quantitative relation between the stability of the closed-loop NCS and two delay parameters, namely, the allowable delay upper bound (ADB) and the allowable delay variation range (ADVR). Furthermore, design procedures for the stabilizing controllers are also presented. An illustrative example is finally given to demonstrate the effectiveness of the proposed method.

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Deng, Jian Qiu, and Cui Hao. "Research on State Feedback Controller of the Networked Control System with Long Delay." Applied Mechanics and Materials 536-537 (April 2014): 1183–86. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.1183.

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This paper addresses the stabilization and optimization problem of networked control systems (NCSs) with long time delays. According to the actual network conditions, the network time delay is divided into the fixed time delay and the random time delay. Then, the stabilization controller is constructed, where the stabilizing control parameters are obtained with cone complementary linearization (CCL) approach and the optimizing control parameters are solved with estimation of distribution algorithm (EDA) algorithm. Simulation results demonstrate the effectiveness of the proposed methods.

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Huang, Ling, Xuhuan Xie, and Wenbo Xie. "Event-Triggered Faults Tolerant Control for Stochastic Systems with Time Delays." Scientific Programming 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/5606234.

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This paper is concerned with the state-feedback controller design for stochastic networked control systems (NCSs) with random actuator failures and transmission delays. Firstly, an event-triggered scheme is introduced to optimize the performance of the stochastic NCSs. Secondly, stochastic NCSs under event-triggered scheme are modeled as stochastic time-delay systems. Thirdly, some less conservative delay-dependent stability criteria in terms of linear matrix inequalities for the codesign of both the controller gain and the trigger parameters are obtained by using delay-decomposition technique and convex combination approach. Finally, a numerical example is provided to show the less sampled data transmission and less conservatism of the proposed theory.

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Benítez-Pérez, H., Jorge Ortega-Arjona, Jared A. Rojas-Vargas, and A. Durán-Chavesti. "Design of a Fuzzy Networked Control Systems. Priority Exchange Scheduling Algorithm." International Journal of Computers Communications & Control 11, no. 2 (January 26, 2016): 179. http://dx.doi.org/10.15837/ijccc.2016.2.2440.

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This work presents a supervisory control strategy for Networked Control Systems (NCSs). This shows the identification and control of the plant using fuzzy theory. The fuzzy model incorporates the delay dynamics within the fuzzy rules based upon a real-time hierarchical scheduling strategy. A hierarchical scheduling Priority Exchange algorithm is used based upon codesign strategy following mutual correlation among control and network algorithms in order to bounded time delays. A system of magnetic levitation is presented as a case study.

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Wen, Dan Li, and Yuan Gao. "H_∞ Controller Design for Networked Control Systems in Multiple-Packet Transmission with Random Delays." Applied Mechanics and Materials 278-280 (January 2013): 1601–4. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1601.

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Discrete-time NCSs in multiple-packet transmission with random delays were discussed. The random delays from the sensors to the controllers and from the controllers to the actuators were considered. A novel random delay model in multiple-packet transmission was proposed and the relationship of the delays and the system performance was studied. The state feedback H∞ controller can be constructed via solving a linear matrix inequality, such that the closed-loop system with random delays exponentially mean-square stable and with a prescribed H∞ performance bound. The result shows that an example presented here illustrates the effectiveness of the proposed method.

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