Knowledge Commons of Institute of Automation,CAS
A Novel Neural-Network-Based Adaptive Control Scheme for Output-Constrained Stochastic Switched Nonlinear Systems | |
Niu, Ben1; Wang, Ding2; Li, Huan1; Xie, Xuejun3; Alotaibi, Naif D.4; Alsaadi, Fuad E.4 | |
发表期刊 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS |
ISSN | 2168-2216 |
2019-02-01 | |
卷号 | 49期号:2页码:418-432 |
通讯作者 | Niu, Ben(niubenbhu@gmail.com) |
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. |
关键词 | Adaptive control neural network (NN) nonlinear mapping output constraints stochastic switched systems |
DOI | 10.1109/TSMC.2017.2777472 |
关键词[WOS] | TRACKING CONTROL ; HOMOGENEOUS DOMINATION ; STABILITY ANALYSIS ; FEEDBACK CONTROL ; STATE-FEEDBACK ; ROBUST-CONTROL ; FUZZY ; STABILIZATION ; OBSERVER ; DESIGN |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Liaoning Provincial Natural Science Foundation, China[201602009] ; National Natural Science Foundation of China[61673242] ; National Natural Science Foundation of China[61673073] ; National Natural Science Foundation of China[61673073] ; National Natural Science Foundation of China[61673242] ; Liaoning Provincial Natural Science Foundation, China[201602009] |
项目资助者 | National Natural Science Foundation of China ; Liaoning Provincial Natural Science Foundation, China |
WOS研究方向 | Automation & Control Systems ; Computer Science |
WOS类目 | Automation & Control Systems ; Computer Science, Cybernetics |
WOS记录号 | WOS:000457670800013 |
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/173211/25288 |
专题 | 多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队 |
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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