Neural-network-based approximate output regulation of discrete-time nonlinear systems

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	Neural-network-based approximate output regulation of discrete-time nonlinear systems
	Lan, W. Y. ; Huang, J. ; Lan WY(兰维瑶)
刊名	http://dx.doi.org/10.1109/TNN.2007.899212
	2007-07
关键词	SERVOMECHANISM PROBLEM
英文摘要	The existing approaches to the discrete-time nonlinear output regulation problem rely on the offline solution of a set of mixed nonlinear functional equations known as discrete regulator equations. For complex nonlinear systems, it is difficult to solve the discrete regulator equations even approximately. Moreover, for systems with uncertainty, these approaches cannot offer a reliable solution. By combining the approximation capability of the feedforward neural networks (NNs) with an online parameter optimization mechanism, we develop an approach to solving the discrete nonlinear output regulation problem without solving the discrete regulator equations explicitly. The approach of this paper can be viewed as a discrete counterpart of our previous paper on approximately solving the continuous-time nonlinear output regulation problem.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/70614]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Lan, W. Y.,Huang, J.,Lan WY. Neural-network-based approximate output regulation of discrete-time nonlinear systems[J]. http://dx.doi.org/10.1109/TNN.2007.899212,2007.
APA	Lan, W. Y.,Huang, J.,&兰维瑶.(2007).Neural-network-based approximate output regulation of discrete-time nonlinear systems.http://dx.doi.org/10.1109/TNN.2007.899212.
MLA	Lan, W. Y.,et al."Neural-network-based approximate output regulation of discrete-time nonlinear systems".http://dx.doi.org/10.1109/TNN.2007.899212 (2007).