Fuzzy Networked Delay Compensation Control for Nonlinear CPSs

2021 ◽  
pp. 67-80
Author(s):  
Jinhui Zhang ◽  
Yuanqing Xia ◽  
Zhongqi Sun ◽  
Duanduan Chen
2021 ◽  
pp. 51-66
Author(s):  
Jinhui Zhang ◽  
Yuanqing Xia ◽  
Zhongqi Sun ◽  
Duanduan Chen

2000 ◽  
Vol 33 (25) ◽  
pp. 269-274 ◽  
Author(s):  
Cecilia E. García ◽  
Ricardo Carelli ◽  
José F. Postigo ◽  
Beatriz Morales

2013 ◽  
Vol 43 (1) ◽  
pp. 259-268 ◽  
Author(s):  
Jinhui Zhang ◽  
Peng Shi ◽  
Yuanqing Xia

2021 ◽  
Vol 11 (4) ◽  
pp. 1400
Author(s):  
Junfeng Zhou ◽  
Lin Zhao ◽  
Hui Li ◽  
Jianhua Cheng ◽  
Shuo Wang

This paper studies the orbital pursuit-evasion problem with imperfect information, including measurement noise and input delay. The presence of imperfect information will degrade the players’ control performance and lead to mission failure. To solve this problem, a compensation control strategy for the players is proposed. The compensation control strategy consists of two parts: the guaranteed cost strategy and the time delay compensation method. First, a near-optimal feedback strategy called guaranteed cost strategy with perfect information is proposed based on a Lyapunov-like function and matrix analysis theory. Second, a time delay compensation method based on an uncertainty set is proposed to compensate for delayed information. The compensation control strategy is derived by combining the time delay compensation method with the guaranteed cost strategy. While applying this strategy to the game, the input of the strategy is generated by processing the measured data with the state estimation algorithm based on the unscented Kalman filter (UKF). The simulation results show that the proposed strategy can handle the orbital pursuit-evasion problem with imperfect information effectively.


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