Abstract
This paper presents a novel observer-based predictive control method for networked systems where random network-induced delays, packet disorders and packet dropouts in both feedback and forward channels are considered. The proposed method has three significant features: i) A concept of destination-based lumped (DBL) delay is introduced to represent the combined effects of random communication constraints in each channel; ii) in view of different natures of the random DBL delays in the feedback and forward channels, different compensation schemes are designed; and iii) it is actual control inputs rather than predicted ones that are employed to generate future control signals based on the latest system state estimate available in the controller. For the resulting closed-loop system, a necessary and sufficient stability condition is derived, which is less conservative and also independent of random communication constraints in both channels. Simulation results are provided to demonstrate the effectiveness of the proposed method.
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Zhang D, Han Q L, and Zhang X M, Network-based modeling and proportional-integral control for direct-drive-wheel systems in wireless network environments, IEEE Trans. Cybern., 2020, 50(6): 2462–2474.
Pang Z H, Luo W C, Liu G P, et al., Observer-based incremental predictive control of networked multi-agent systems with random delays and packet dropouts, IEEE Trans. Circuits Syst. II Express Briefs, 2021, 68(1): 426–430.
Liu K, Selivanov A, and Fridman E, Survey on time-delay approach to networked control, Annu. Rev. Control, 2019, 48: 57–79.
Zhang X M, Han Q L, Ge X, et al., Networked control systems: A survey of trends and techniques, IEEE/CAA J. Autom. Sin., 2020, 7(1): 1–17.
Tang P L and de Silva C W, Compensation for transmission delays in an ethernet-based control network using variable-horizon predictive control, IEEE Trans. Control Syst. Technol., 2006, 14(4): 707–718.
Martins E C and Jota F G, Design of networked control systems with explicit compensation for time-delay variations, IEEE Trans. Syst. Man Cybern. Part C Appl. Rev., 2010, 40(3): 308–318.
Yao W, Jiang L, Wen J, et al., Wide-area damping controller for power system interarea oscillations: A networked predictive control approach, IEEE Trans. Control Syst. Technol., 2015, 23(1): 27–36.
Pang Z H, Liu G P, Zhou D, et al., Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks, Springer, Singapore, 2019.
Irwin G W, Chen J, McKernan A, et al., Co-design of predictive controllers for wireless network control, IET Control Theory Appl., 2010, 4(2): 186–196.
Zou Y, Chen T, and Li S, Network-based predictive control of multirate systems, IET Control Theory Appl., 2010, 4(7): 1145–1156.
Rahmani B, Markazi A H D, and Nezhad P M, Plant input-mapping-based predictive control of systems through band-limited networks, IET Control Theory Appl., 2011, 5(2): 341–350.
Onat A, Naskali T, Parlakay E, et al., Control over imperfect networks: Model-based predictive networked control systems, IEEE Trans. Ind. Electron., 2011, 58(3): 905–913.
Quevedo D E and Jurado I, Stability of sequence-based control with random delays and dropouts, IEEE Trans. Autom. Control, 2014, 59(5): 1296–1302.
Sun X, Wu D, Liu G P, et al., Input-to-state stability for networked predictive control with random delays in both feedback and forward channels, IEEE Trans. Ind. Electron., 2014, 61(7): 3519–3526.
Zhang J, Lin Y, and Shi P, Output tracking control of networked control systems via delay compensation controllers, Automatica, 2015, 57: 85–92.
Pang Z H, Liu G P, Zhou D, et al., Two-channel false data injection attacks against output tracking control of networked systems, IEEE Trans. Ind. Electron., 2016, 63(5): 3242–3251.
Yang H, Xu Y, Xia Y, et al., Networked predictive control for nonlinear systems with arbitrary region quantizers, IEEE Trans. Cybern., 2017, 47(8): 2244–2255.
Wang J and Ding B, Two-step output feedback predictive control for Hammerstein systems with networked-induced time delays, Int. J. Syst. Sci., 2018, 49(13): 2753–2762.
Vafamand N, Khooban M H, Dragic̆ević T, et al., Networked fuzzy predictive control of power buffers for dynamic stabilization of DC microgrids, IEEE Trans. Ind. Electron., 2019, 66(2): 1356–1362.
Xia Y, Xie W, Liu B, et al., Data-driven predictive control for networked control systems, Inform. Sciences, 2013, 235: 45–54.
Pang Z H, Liu G P, Zhou D, et al., Data-based predictive control for networked nonlinear systems with network-induced delay and packet dropout, IEEE Trans. Ind. Electron., 2016, 63(2): 1249–1256.
Pang Z H, Liu G P, Zhou D, et al., Data-based predictive control for networked nonlinear systems with packet dropout and measurement noise, Journal of Systems Science and Complexity, 2017, 30(5): 1072–1083.
Dinh T Q, Marco J, Greenwood D, et al., Data-based predictive hybrid driven control for a class of imperfect networked systems, IEEE Trans. Ind. Inf., 2018, 14(11): 5187–5199.
Tan H, Miao Z, Wang Y, et al., Data-Driven distributed coordinated control for cloud-based modelfree multiagent systems with communication constraints, IEEE Trans. Circuits Syst. I Regul. Pap., 2020, 67(9): 3187–3198.
Zhang W, Branicky M S, and Phillips S M, Stability of networked control systems, IEEE Control Syst. Mag., 2001, 21(1): 84–99.
Luck R and Ray A, An observer-based compensator for distributed delays, Automatica, 1990, 26(5): 903–908.
Liu G P, Predictive controller design of networked systems with communication delays and data loss, IEEE Trans. Circuits Syst. Express Briefs, 2010, 57(6): 481–485.
Rahmani B and Markazi A H, Variable selective control method for networked control systems, IEEE Trans. Control Syst. Technol., 2013, 21(3): 975–982.
Zhang H, Shi Y, and Wang J, Observer-based tracking controller design for networked predictive control systems with uncertain Markov delays, Int. J. Control, 2013, 86(10): 1824–1836.
Matni N and Oishi M, Stability of switched block upper-triangular linear systems with switching delay: Application to large distributed systems, Proc. Amer. Control Conf., 2011, 1440–1445.
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This work was supported in part by the National Natural Science Foundation of China under Grant Nos. 61673023 and 61773144, the Youth Talent Support Program of Beijing Municipality, the NCUT Yujie Talent Training Program, the NCUT Science and Technology Innovation Project, and the BMEC Basic Scientific Research Foundation.
This paper was recommended for publication by Editor SUN Jian.
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Pang, Z., Bai, C., Liu, G. et al. A Novel Networked Predictive Control Method for Systems with Random Communication Constraints. J Syst Sci Complex 34, 1364–1378 (2021). https://doi.org/10.1007/s11424-021-0160-y
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DOI: https://doi.org/10.1007/s11424-021-0160-y