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Adaptive dynamic programming-based stabilization of nonlinear systems with unknown actuator saturation
Zhao, Bo1; Jia, Lihao2; Xia, Hongbing3; Li, Yuanchun3
Source PublicationNONLINEAR DYNAMICS
2018-09-01
Volume93Issue:4Pages:2089-2103
SubtypeArticle
AbstractThis paper addresses the stabilizing control problem for nonlinear systems subject to unknown actuator saturation by using adaptive dynamic programming algorithm. The control strategy is composed of an online nominal optimal control and a neural network (NN)-based feed-forward saturation compensator. For nominal systems without actuator saturation, a critic NN is established to deal with the Hamilton-Jacobi-Bellman equation. Thus, the online approximate nominal optimal control policy can be obtained without action NN. Then, the unknown actuator saturation, which is considered as saturation nonlinearity by simple transformation, is compensated by employing a NN-based feed-forward control loop. The stability of the closed-loop nonlinear system is analyzed to be ultimately uniformly bounded via Lyapunov's direct method. Finally, the effectiveness of the presented control method is demonstrated by two simulation examples.
KeywordAdaptive Dynamic Programming Unknown Actuator Saturation Continuous-time Nonlinear Systems Stabilizing Control Neural Networks
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s11071-018-4309-8
WOS KeywordFAULT-TOLERANT CONTROL ; DECENTRALIZED TRACKING CONTROL ; NEURAL-NETWORK CONTROL ; ZERO-SUM GAMES ; INPUT CONSTRAINTS ; OUTPUT-FEEDBACK ; LEARNING CONTROL ; TIME-SYSTEMS ; REINFORCEMENT ; ALGORITHM
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61603387 ; Early Career Development Award of SKLMCCS(20180201) ; 61533017 ; 61374051 ; 61502494)
WOS Research AreaEngineering ; Mechanics
WOS SubjectEngineering, Mechanical ; Mechanics
WOS IDWOS:000441305900020
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21855
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Inst Automat, Beijing 100190, Peoples R China
3.Changchun Univ Technol, Dept Control Sci & Engn, Changchun 130012, Jilin, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhao, Bo,Jia, Lihao,Xia, Hongbing,et al. Adaptive dynamic programming-based stabilization of nonlinear systems with unknown actuator saturation[J]. NONLINEAR DYNAMICS,2018,93(4):2089-2103.
APA Zhao, Bo,Jia, Lihao,Xia, Hongbing,&Li, Yuanchun.(2018).Adaptive dynamic programming-based stabilization of nonlinear systems with unknown actuator saturation.NONLINEAR DYNAMICS,93(4),2089-2103.
MLA Zhao, Bo,et al."Adaptive dynamic programming-based stabilization of nonlinear systems with unknown actuator saturation".NONLINEAR DYNAMICS 93.4(2018):2089-2103.
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