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Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems
Sui, Shuai1,2; Chen, C. L. Philip2,3,4; Tong, Shaocheng1
发表期刊IEEE TRANSACTIONS ON FUZZY SYSTEMS
ISSN1063-6706
2019
卷号27期号:1页码:172-184
通讯作者Chen, C. L. Philip(philip.chen@ieee.org)
摘要This paper solves the stochastically finite-time control problem for uncertain stochastic nonlinear systems in nontriangular form. The considered controlled plants are different from the previous results of finite-time control systems, which are the multiple-input and multiple-output (MIMO) stochastic systems with the unknown functions consisting of all states, stochastic disturbance, and immeasurable states. Fuzzy logic systems and a state filter are used to model the uncertain systems and estimate the immeasurable states, respectively. Based on the finite-time theory and Ito differential equation, a novel stochastically finite-time stability theorem is first raised. By combining the novel criterion and backstepping technique, an adaptive fuzzy stochastically finite-time control method is proposed. It is testified that all signals in the closed-loop signals are semiglohal finite-time stable in probability, and the tracking performances are well. Simulation example results further show the effectiveness of the proposed approach.
关键词Multiple-input and multiple-output (MIMO) stochastic nonlinear systems nontriangular form state filter stochastically finite-time control
DOI10.1109/TFUZZ.2018.2882167
关键词[WOS]OUTPUT-FEEDBACK TRACKING ; DELAY SYSTEMS ; STABILIZATION ; STABILITY ; CONSENSUS
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[61603167] ; National Natural Science Foundation of China[61572540] ; 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] ; Key Program for International S&T Cooperation Projects of China[2016YFE0121200] ; University of Macau ; National Natural Science Foundation of China[61603167] ; National Natural Science Foundation of China[61572540] ; 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] ; Key Program for International S&T Cooperation Projects of China[2016YFE0121200] ; University of Macau
项目资助者National Natural Science Foundation of China ; Macao Science and Technology Development Fund ; Key Program for International S&T Cooperation Projects of China ; University of Macau
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000455193700014
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:265[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/25328
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, Fac Sci & Technol, Dept Comp & Informat Sci, Macau 999078, Peoples R China
3.Dalian Maritime Univ, Dalian 116026, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, 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. Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS,2019,27(1):172-184.
APA Sui, Shuai,Chen, C. L. Philip,&Tong, Shaocheng.(2019).Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems.IEEE TRANSACTIONS ON FUZZY SYSTEMS,27(1),172-184.
MLA Sui, Shuai,et al."Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems".IEEE TRANSACTIONS ON FUZZY SYSTEMS 27.1(2019):172-184.
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