Near-Optimal Resilient Control Strategy Design for State-Saturated Networked Systems Under Stochastic Communication Protocol

In this paper, the near-optimal resilient control strategy design problem is investigated for a class of discrete time-varying system in simultaneous presence of stochastic communication protocols (SCPs), gain perturbations, state saturations, and additive nonlinearities. In the sensor-to-controller...

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Vydané v:IEEE transactions on cybernetics Ročník 49; číslo 8; s. 3155 - 3167
Hlavní autori: Yuan, Yuan, Wang, Zidong, Zhang, Peng, Liu, Hongjian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States IEEE 01.08.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Additives
Algorithms
Communication
Communications systems
Complexity theory
Computer simulation
Control algorithms
Control systems
Controllers
Cost function
Discrete time systems
Iterative methods
Markov chain
Markov chains
Mathematical models
Protocol (computers)
Protocols
resilient control strategy
Riccati-like recursions
Sensors
stochastic communication protocol (SCP)
Stochastic processes
Strategy
time-varying systems
Upper bound
Upper bounds
ISSN:2168-2267, 2168-2275, 2168-2275
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Shrnutí:In this paper, the near-optimal resilient control strategy design problem is investigated for a class of discrete time-varying system in simultaneous presence of stochastic communication protocols (SCPs), gain perturbations, state saturations, and additive nonlinearities. In the sensor-to-controller network, only one sensor is permitted to get access to the communication media so as to avoid possible data collisions. Described by a Markov chain, the SCP is employed to determine which sensor should obtain the access to the network at a certain time. Furthermore, two kinds of well-recognized complexities (i.e., state saturations and additive nonlinearities) are considered in the system model and the phenomenon of controller gain perturbation is also taken into special consideration. Accordingly, the resilient control strategy is designed by: 1) deriving a certain upper bound on the associate cost function of underlying systems and 2) minimizing such an upper bound through the utilization of the completing-the-square technique and the Moore-Penrose pseudo inverse. The resilient control strategy is obtained in an iterative manner by solving a set of coupled backward Riccati-like recursions. Furthermore, based on the proposed control strategies, the infinite horizon case is considered and the corresponding upper bound of the cost function is explicitly provided. Finally, numerical simulations are carried out on power systems in order to verify the validity of the proposed resilient control algorithms.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2018.2840430