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Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time | |
Sui, Shuai1,2; Chen, C. L. Philip2,3,4; Tong, Shaocheng1 | |
发表期刊 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS |
ISSN | 2162-237X |
2019-07-01 | |
卷号 | 30期号:7页码:2153-2162 |
通讯作者 | Chen, C. L. Philip(philip.chen@ieee.org) |
摘要 | This paper solves the finite-time switching control issue for the nonstrict-feedhack nonlinear switched systems. The controlled plants contain immeasurable states, arbitrarily switchings, and the unknown functions which are constructed with the whole states. Neural network is used to simulate the uncertain systems and a filter-based state observer is designed to estimate the immeasurable states in this paper, respectively. Based on the backstepping recursive technique and the common Lyapunov function method, a finite-time switching control method is presented. Due to the developed finite-time control strategy, the closed-loop signals can he ensured to be bounded under arbitrarily switchings, and the outputs of systems can quickly track the desired reference signals in finite time. The effectiveness of the proposed method is given through its application to a massspring-damper system. |
关键词 | Common Lyapunov function finite time non-triangular structure switched systems |
DOI | 10.1109/TNNLS.2018.2876352 |
关键词[WOS] | TRACKING CONTROL ; ADAPTIVE STABILIZATION ; DELAY SYSTEMS |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61572540] ; National Natural Science Foundation of China[61603167] ; National Natural Science Foundation of China[61773188] ; National Natural Science Foundation of China[61751202] ; National Natural Science Foundation of China[61751205] ; Macao Science and Technology Development Fund[079/2017/A2] ; Macao Science and Technology Development Fund[024/2015/AMJ] ; Macao Science and Technology Development Fund[019/2015/A1] ; University of Macau ; National Natural Science Foundation of China[61572540] ; National Natural Science Foundation of China[61603167] ; National Natural Science Foundation of China[61773188] ; National Natural Science Foundation of China[61751202] ; National Natural Science Foundation of China[61751205] ; Macao Science and Technology Development Fund[079/2017/A2] ; Macao Science and Technology Development Fund[024/2015/AMJ] ; Macao Science and Technology Development Fund[019/2015/A1] ; University of Macau |
项目资助者 | National Natural Science Foundation of China ; Macao Science and Technology Development Fund ; University of Macau |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000472605500018 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/27852 |
专题 | 离退休人员 |
通讯作者 | Chen, C. L. Philip |
作者单位 | 1.Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China 2.Univ Macau, Dept Comp & Informat Sci, Macau 999078, Peoples R China 3.Dalian Maritime Univ, Dalian 116026, Peoples R China 4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100080, Peoples R China |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Sui, Shuai,Chen, C. L. Philip,Tong, Shaocheng. Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2019,30(7):2153-2162. |
APA | Sui, Shuai,Chen, C. L. Philip,&Tong, Shaocheng.(2019).Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,30(7),2153-2162. |
MLA | Sui, Shuai,et al."Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 30.7(2019):2153-2162. |
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