Generalized Receding Horizon Control of Fuzzy Systems Based on Numerical Optimization Algorithm

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	Generalized Receding Horizon Control of Fuzzy Systems Based on Numerical Optimization Algorithm
	Song, Chonghui 1; Ye, Jinchun 2; Liu, Derong 3,4; Kang, Qi 5
发表期刊	IEEE TRANSACTIONS ON FUZZY SYSTEMS
	2009-12-01
卷号	17 期号:6 页码:1336-1352
文章类型	Article
摘要	The optimal control of fuzzy systems with constraints is still an open problem. Our focus concerns the optimal control problem of fuzzy systems derived from receding horizon control (RHC) schemes. We consider methods to numerically compute the value function for general fuzzy systems. The numerical method that is developed using the finite difference with sigmoidal transformation is a stable and convergent algorithm for the Hamilton Jacobi-Bellman (HJB) equation. An optimization procedure is developed to increase the calculation accuracy with less computation time. A parallel-processing method is employed in the optimization procedure. The optimization results are applied to the controller design of general fuzzy dynamic systems. Employing the principle of conventional RHC schemes, RHC-form controllers are designed for some classes of fuzzy dynamic systems. The basic ideas are as follows. First, the value function is calculated by numerical methods. Then, the value function is used as controller-design parameters to redesign RHC controllers for fuzzy systems, which is motivated by the inverse Lyapunov function design method. It is proven that the closed-loop system is asymptotically stable. An engineering implementation of the controller redesign scheme is discussed. Meanwhile, the parallel-processing framework that can improve the closed-loop performance is also introduced.
关键词	Dynamic Programming Fuzzy Systems Numerical Methods Parallel Processing Receding Horizon Control (Rhc)
WOS标题词	Science & Technology ; Technology
关键词[WOS]	MODEL-PREDICTIVE CONTROL ; GLOBAL CONCEPT APPROACH ; NONLINEAR-SYSTEMS ; DESIGN ; STABILIZATION ; ROBUSTNESS ; STABILITY ; FUTURE
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000272319000009
引用统计	被引频次：13[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/173211/3562
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
作者单位	1.Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China 2.CTC Holdings, Chicago, IL 60604 USA 3.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China 4.Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60607 USA 5.Tongji Univ, Coll Elect & Informat Engn, Shanghai 200092, Peoples R China
推荐引用方式 GB/T 7714	Song, Chonghui,Ye, Jinchun,Liu, Derong,et al. Generalized Receding Horizon Control of Fuzzy Systems Based on Numerical Optimization Algorithm[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS,2009,17(6):1336-1352.
APA	Song, Chonghui,Ye, Jinchun,Liu, Derong,&Kang, Qi.(2009).Generalized Receding Horizon Control of Fuzzy Systems Based on Numerical Optimization Algorithm.IEEE TRANSACTIONS ON FUZZY SYSTEMS,17(6),1336-1352.
MLA	Song, Chonghui,et al."Generalized Receding Horizon Control of Fuzzy Systems Based on Numerical Optimization Algorithm".IEEE TRANSACTIONS ON FUZZY SYSTEMS 17.6(2009):1336-1352.