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A Novel Neural-Network-Based Adaptive Control Scheme for Output-Constrained Stochastic Switched Nonlinear Systems

文献类型：期刊论文

作者Niu, Ben1; Wang, Ding2; Li, Huan1; Xie, Xuejun3; Alotaibi, Naif D.4; Alsaadi, Fuad E.4
刊名IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
出版日期2019-02-01
卷号49期号:2页码:418-432
关键词Adaptive control neural network (NN) nonlinear mapping output constraints stochastic switched systems
ISSN号2168-2216
DOI10.1109/TSMC.2017.2777472
通讯作者Niu, Ben(niubenbhu@gmail.com)
英文摘要In this paper, a novel neural-network (NN)-based adaptive tracking controller design method is presented for the single-input/single-output nonlinear stochastic switched systems in lower triangular structures with an output constraint. First, a well-designed nonlinear mapping is introduced to transform the switched stochastic system to a new system without constraints, which implies the controller design of the transformed system is equivalent to that of the stochastic switched system. Then radial basis function NNs are applied to model the unknown nonlinearities and the adaptive backstepping technique is employed to construct two classes of adaptive neural controllers under different adaptive laws. It is proved that both controllers can assure all the signals in the closed-loop remain bounded in probability, and the tracking error finally converges to a neighborhood of the origin without violating the constraint. Furthermore, the use of the nonlinear mapping to deal with the asymmetric output constraint is also studied as a generalization result. Two illustrative examples with numerical data and simulation results are given to show the validity and performance of the proposed control schemes.
WOS关键词TRACKING CONTROL ; HOMOGENEOUS DOMINATION ; STABILITY ANALYSIS ; FEEDBACK CONTROL ; STATE-FEEDBACK ; ROBUST-CONTROL ; FUZZY ; STABILIZATION ; OBSERVER ; DESIGN
资助项目National Natural Science Foundation of China[61673073] ; National Natural Science Foundation of China[61673242] ; Liaoning Provincial Natural Science Foundation, China[201602009]
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000457670800013
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Liaoning Provincial Natural Science Foundation, China
源URL[http://ir.ia.ac.cn/handle/173211/25287]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
通讯作者Niu, Ben
作者单位1.Bohai Univ, Coll Math & Phys, Jinzhou 121013, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Qufu Normal Univ, Inst Automat, Qufu 273165, Peoples R China
4.King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia
推荐引用方式
GB/T 7714		 Niu, Ben,Wang, Ding,Li, Huan,et al. A Novel Neural-Network-Based Adaptive Control Scheme for Output-Constrained Stochastic Switched Nonlinear Systems[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2019,49(2):418-432.
APA Niu, Ben,Wang, Ding,Li, Huan,Xie, Xuejun,Alotaibi, Naif D.,&Alsaadi, Fuad E..(2019).A Novel Neural-Network-Based Adaptive Control Scheme for Output-Constrained Stochastic Switched Nonlinear Systems.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,49(2),418-432.
MLA Niu, Ben,et al."A Novel Neural-Network-Based Adaptive Control Scheme for Output-Constrained Stochastic Switched Nonlinear Systems".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 49.2(2019):418-432.

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来源：自动化研究所

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