Adaptive MIMO supervisory control design using modeling error
type: Item
instance of: scholarly article
title: Adaptive MIMO supervisory control design using modeling error
zbMATH Open document ID: 1394.93137
DOI: 10.1155/2015/645168
author: Z.-R. Tsai
author: Yau-Zen Chang
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: This paper proposes an adaptive control scheme for nonlinear systems with significant nonminimum phase dynamics. The scheme is composed of an inner-level adaptive fuzzy PD control law and an outer-level supervisory control law. Importantly, the inner-level controller of the two-level scheme is designed based on a fuzzy model, which takes nonminimum phase phenomenon and modeling error explicitly into account. The scheme is both much simpler in design and more applicable to general nonlinear systems when compared with most existing nonlinear controllers. Effectiveness of the proposed control strategy is demonstrated by numerical simulation of the control of a five-degree-of-freedom aircraft system in the face of bursting disturbances.
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C42
zbMATH DE Number: 6926894
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/645168
OpenAlex ID: W2207034963
Wikidata QID: Q59119258
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description: scientific article; zbMATH DE number 6926894