Event-Triggered Adaptive Optimal Control With Output Feedback: An Adaptive Dynamic Programming Approach

被引：45
作者：
Zhao, Fuyu [1 ]
Gao, Weinan [2 ]
Jiang, Zhong-Ping [3 ]
Liu, Tengfei [1 ]
机构：
[1] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
[2] Florida Inst Technol, Coll Engn & Sci, Dept Mech & Civil Engn, Melbourne, FL 32901 USA
[3] NYU, Dept Elect & Comp Engn, Brooklyn, NY 11201 USA
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2021年 / 32卷 / 11期
基金：
美国国家科学基金会; 中国国家自然科学基金;
关键词：
Optimal control; Adaptive systems; Dynamic programming; Linear systems; Mathematical model; Symmetric matrices; Learning systems; Adaptive dynamic programming (ADP); event-triggered control; output feedback; ZERO-SUM GAMES; NONLINEAR-SYSTEMS; GAIN; DESIGN; STATE;
D O I：
10.1109/TNNLS.2020.3027301
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article presents an event-triggered output-feedback adaptive optimal control method for continuous-time linear systems. First, it is shown that the unmeasurable states can be reconstructed by using the measured input and output data. An event-based feedback strategy is then proposed to reduce the number of controller updates and save communication resources. The discrete-time algebraic Riccati equation is iteratively solved through event-triggered adaptive dynamic programming based on both policy iteration (PI) and value iteration (VI) methods. The convergence of the proposed algorithm and the closed-loop stability is carried out by using the Lyapunov techniques. Two numerical examples are employed to verify the effectiveness of the design methodology.
引用
收藏
页码：5208 / 5221
页数：14
相关论文
共 60 条
[21]   Periodic Event-Triggered Control for Linear Systems [J].
Heemels, W. P. M. H. ;
Donkers, M. C. F. ;
Teel, Andrew R. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (04) :847-861
[22]   ITERATIVE TECHNIQUE FOR COMPUTATION OF STEADY STATE GAINS FOR DISCRETE OPTIMAL REGULATOR [J].
HEWER, GA .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1971, AC16 (04) :382-+
[23]   Takagi-Sugeno Model Based Event-Triggered Fuzzy Sliding-Mode Control of Networked Control Systems With Semi-Markovian Switchings [J].
Jiang, Baoping ;
Karimi, Hamid Reza ;
Kao, Yonggui ;
Gao, Cunchen .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (04) :673-683
[24]  
Jiang Y., 2017, Robust Adaptive Dynamic Programming.
[25]  
Khalil HK., 2002, NONLINEAR SYSTEMS
[26]  
Lancaster Peter, 1995, Algebraic Riccati Equations
[27]  
Lehmann D., 2011, Proceedings of the 18th International Federation of Automatic ControlWorld Congress (IFAC'11), P3262
[28]  
Lemmon M, 2010, LECT NOTES CONTR INF, V406, P293
[29]   Reinforcement Learning and Feedback Control USING NATURAL DECISION METHODS TO DESIGN OPTIMAL ADAPTIVE CONTROLLERS [J].
Lewis, Frank L. ;
Vrabie, Draguna ;
Vamvoudakis, Kyriakos G. .
IEEE CONTROL SYSTEMS MAGAZINE, 2012, 32 (06) :76-105
[30]   Weakly coupled event triggered output feedback system in wireless networked control systems [J].
Li, Lichun 'Lucinda' ;
Lemmon, Michael .
DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS, 2014, 24 (02) :247-260
123456