Constrained adaptive neural control of nonlinear strict-feedback systems with input dead-zone
type: Item
instance of: scholarly article
title: Constrained adaptive neural control of nonlinear strict-feedback systems with input dead-zone
zbMATH Open document ID: 1426.93144
DOI: 10.1155/2017/2981518
author: Jingping Shi
author: Zhonghua Wu
author: Jingchao Lu
published in: Mathematical Problems in Engineering
publication date: 2018-11-05T00:00:00Z
review text: Summary: This paper focuses on a single neural network tracking control for a class of nonlinear strict-feedback systems with input dead-zone and time-varying output constraint via prescribed performance method. To release the limit condition on previous performance function that the initial tracking error needs to be known, a new modified performance function is first constructed. Further, to reduce the computational burden of traditional neural back-stepping control approaches which require all the virtual controllers to be necessarily carried out in each step, the nonlinear items are transmitted to the last step such that only one neural network is required in this design. By regarding the input-coefficients of the dead-zone slopes as a system uncertainty and introducing a new concise system transformation technique, a composite adaptive neural state-feedback control approach is developed. The most prominent feature of this scheme is that it not only owes low-computational property but also releases the previous limitations on performance function and is capable of guaranteeing the output confined within the new form of prescribed bound. Moreover, the closed-loop stability is proved using Lyapunov function. Comparative simulation is induced to verify the effectiveness.
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 93B51
zbMATH DE Number: 6971931
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/2981518
OpenAlex ID: W2770641988
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description: scientific article; zbMATH DE number 6971931