Finite-horizon H∞ tracking control for discrete-time linear systems

被引:2
|
作者
Wang, Jian [1 ]
Wang, Wei [2 ,3 ,4 ,7 ]
Liang, Xiaofeng [1 ]
Zuo, Chao [5 ,6 ,8 ,9 ]
机构
[1] Shanghai Jiao Tong Univ, Key Lab Marine Intelligent Equipment & Syst, Minist Educ, Shanghai, Peoples R China
[2] Zhongnan Univ Econ & Law, Sch Informat & Safety Engn, Wuhan, Peoples R China
[3] Hubei Key Lab Adv Control & Intelligent Automat Co, Wuhan, Peoples R China
[4] Minist Educ, Engn Res Ctr Intelligent Technol Geoexplorat, Wuhan, Peoples R China
[5] Hubei Key Lab Marine Electromagnet Detect & Contro, Wuhan, Peoples R China
[6] Wuhan Second Ship Design & Res Inst, Wuhan, Peoples R China
[7] Zhongnan Univ Econ & Law, Sch Informat & Safety Engn, Wuhan 430073, Peoples R China
[8] Hubei Key Lab Marine Electromagnet Detect & Contro, Wuhan 430064, Peoples R China
[9] Wuhan Second Ship Design & Res Inst, Wuhan 430064, Peoples R China
关键词
finite-horizon; H-infinity tracking control; model-free; Q-function; INFINITY TRACKING CONTROL; H-INFINITY; NETWORKED SYSTEMS; NONLINEAR-SYSTEMS;
D O I
10.1002/rnc.6960
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, model-free finite-horizon H-infinity tracking control for discrete-time linear systems is studied. By formulating an augmented system consisting of the considered linear system and the command generator system, an augmented time-varying Riccati equation whose solutions can achieve the finite-horizon H-infinity tracking control is derived. Then, a time-varying Q-function which contains the control input and disturbance input is designed. A time-varying Q-function-based method is developed to learn the solutions of the finite-horizon H-infinity tracking control problem without knowing the system model information nor any model identification methods. It is proved that the solutions of the time-varying Q-function-based method converge to the optimal solutions of the augmented time-varying Riccati equation. At last, simulation examples are provided to show the feasibility and advantages of the time-varying Q-function-based method compared to the infinite-horizon Q-learning-based H-infinity tracking control method.
引用
收藏
页码:54 / 70
页数:17
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