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Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor

文献类型：期刊论文

作者Sui, Shuai1,2; Chen, C. L. Philip2,3,4
刊名IET CONTROL THEORY AND APPLICATIONS
出版日期2019-03-05
卷号13期号:4页码:534-542
关键词chemical reactors stochastic systems control system synthesis feedback differential equations adaptive control uncertain systems observers stochastic processes nonlinear control systems stability fuzzy control control nonlinearities probability adaptive output-feedback finite-time stabilisation two-stage chemical reactor uncertain stochastic nonlinear system unmeasured system variables fuzzy logic systems fuzzy state observer stochastic differential equation adaptive backstepping intelligent control two-stage continuous stirred tank reactor process controller design single-input single-output system SISO probability
ISSN号1751-8644
DOI10.1049/iet-cta.2018.5431
通讯作者Chen, C. L. Philip(philip.chen@ieee.org)
英文摘要In this study, the authors investigate the problem of the stochastically finite-time stability analysis and control design of an adaptive single-input and single-output (SISO) uncertain stochastic non-linear system via establishing a new stability criterion. Owing to the unknown dynamics and unmeasured system variables, fuzzy logic systems and a fuzzy state observer are constructed and applied to identify the stochastic system, respectively. Combining the finite-time definition, stochastic differential equation and $\hat o$o<^> formula, a novel stochastically finite-time stability theorem is raised in this study. By utilising the novel criterion and adaptive backstepping intelligent control, a stochastically finite-time control method is proposed. It is illustrated that the controlled stochastic system is semi-global finite-time stable in probability and behaves excellent convergence. The simulation results of a two-stage continuous stirred tank reactor process reveal the validity and efficiency.
WOS关键词DYNAMIC SURFACE CONTROL ; TRACKING CONTROL ; DELAY SYSTEMS ; OBSERVER DESIGN ; FAULT-DETECTION ; NEURAL-CONTROL ; STABILITY
资助项目National Natural Science Foundation of China[61603167] ; National Natural Science Foundation of China[61572540] ; National Natural Science Foundation of China[61751202] ; National Natural Science Foundation of China[U1813203] ; National Natural Science Foundation of China[U1801262] ; National Natural Science Foundation of China[61751205] ; Macau Science and Technology Development Fund[079/2017/A2] ; Macau Science and Technology Development Fund[024/2015/AMJ] ; Macau Science and Technology Development Fund[019/2015/A1] ; Key Programme for International S&T Cooperation Projects of China[2016YFE0121200]
WOS研究方向Automation & Control Systems ; Engineering ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000460407600009
出版者INST ENGINEERING TECHNOLOGY-IET
资助机构National Natural Science Foundation of China ; Macau Science and Technology Development Fund ; Key Programme for International S&T Cooperation Projects of China
源URL[http://ir.ia.ac.cn/handle/173211/24958]  
专题离退休人员
通讯作者Chen, C. L. Philip
作者单位1.Liaoning Univ Technol, Informat Comp Sci, Jinzhou, Liaoning, Peoples R China
2.Univ Macau, Comp & Informat Sci, Macau, 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
推荐引用方式
GB/T 7714		 Sui, Shuai,Chen, C. L. Philip. Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor[J]. IET CONTROL THEORY AND APPLICATIONS,2019,13(4):534-542.
APA Sui, Shuai,&Chen, C. L. Philip.(2019).Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor.IET CONTROL THEORY AND APPLICATIONS,13(4),534-542.
MLA Sui, Shuai,et al."Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor".IET CONTROL THEORY AND APPLICATIONS 13.4(2019):534-542.

入库方式： OAI收割

来源：自动化研究所

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