ASPR based adaptive output feedback control system design via T-S fuzzy model for nonlinear systems

Mizumoto, Ikuro; Takagi, Toshiharu

doi:10.1109/ecc.2014.6862175

Cited by 2 publications

(1 citation statement)

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“…In this paper, a nonlinear system, which can be modeled by the T-S fuzzy model [17], will be dealt with. The control system design for the T-S fuzzy model has attracted a great deal of attention for simply dealing with a nonlinear system and several controller design schemes for nonlinear system modeled by T-S fuzzy model have been proposed [18][19][20][21][22][23]. However, most of them require the information concerning the membership function in the T-S fuzzy representation.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Output Feedback Control Design with Adaptive Parallel Feedforward Compensator and Feedforward Input via Kernel Method for Nonlinear System

Akaike

Mizumoto

2021

IEEJ Transactions Elec Engng

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It is well recognized that an adaptive output feedback control based on almost strictly positive real-ness (ASPR) or output feedback strictly passivity (OFSP) property of the system has strong robustness with respect to disturbances and uncertainty. However, most practical systems do not have such properties. In order to realize an augmented ASPR system for designing adaptive output feedback controller, a kind of adaptive parallel feedforward compensator (PFC) design schemes have been proposed for linear systems. In this paper, we propose an adaptive PFC design scheme by Kernel method for nonlinear systems and provide output feedback passivity based adaptive output feedback control for nonlinear systems. The effectiveness of the proposed method will be confirmed through numerical simulations.

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