Probabilistic-constrained tracking control for stochastic time-varying systems under deception attacks: A Round-Robin protocol |
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| Institution: | 1. School of Optical Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;2. College of Automation Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China;3. College of Information Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China;4. College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China;1. Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing 163318, China;2. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing 163318, China;1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;2. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, China;1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China;2. State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University, Shenyang 110819, PR China |
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| Abstract: | The probabilistic-constrained tracking control issue is investigated for a class of time-varying nonlinear stochastic systems with sensor saturation, deception attacks and limited bandwidth in an unified framework. The saturation of sensors is quantified by a sector-bound-based function satisfying certain conditions, and the random deception attacks are considered and modeled by a random indicator variable. To gain more efficient utilization of communication channels, a Round-Robin (RR) protocol is utilized to orchestrate the transmission order of measurements. The main purposes of this study aim to plan an observer-based tracking controller to achieve the following goals: (1) the related performance indicators of the estimation error is less than given bound at each time step; and (2) the violation probability of the tracking error confined in a predefined scope is supposed to be higher than a prescribed scalar and the area is minimized at each instant. In order to reach these requirements, a group of recursive linear matrix inequalities (RLMIs) are developed to estimate the state and design the tracking controller at the same time. Finally, two simulation examples are exploited to illustrate the availability and flexibility of the proposed scheme. |
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