Fuzzy Based Model Predictive Control for Uncertain Nonlinear System-Reference-Cited by-同舟云学术

Fuzzy Based Model Predictive Control for Uncertain Nonlinear System

Published:2011-11 Issue: Volume:383-390 Page:2404-2410
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Xu Li¹,Liu Fei¹

Affiliation:

1. Jiangnan University

Abstract

In this paper, a model predictive control (MPC) scheme is investigated for uncertain nonlinear system with time delay and input constraint. First, the Takagi-Sugeno (T-S) fuzzy model is used to approximate the dynamics of nonlinear processes and the parallel distributed compensation (PDC) controllers which are parameter dependent and mirror the structure of the T-S plant model are proposed. Then a novel feedback PDC predictive controller obtained from the linear matrix inequality (LMI) solutions which can guarantee the stability of the closed-loop overall fuzzy system is put forward. Finally, a numerical example is provided to demonstrate the effectiveness and feasibility of the proposed method.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.383-390.2404.pdf

Reference12 articles.

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