Mini-Max Integral Sliding Mode Control for Multimodel Linear Uncertain Systems

A. Poznyak, L. Fridman, F. Bejarano

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

An original linear time varying system with matched and unmatched disturbances and uncertainties is replaced by a finite set of dynamic models such that each one describes a particular uncertain case including exact realizations of possible dynamic equations as well as external unmatched bounded disturbances. Such a trade-off between an original uncertain linear time varying dynamic system and a corresponding higher order multi model system containing only matched uncertainties leads to a linear multi-model system with known unmatched bounded disturbances and unknown matched disturbances as well. Each model from a given finite set is characterized by a quadratic performance index. The developed minimax integral sliding mode control strategy gives an optimal minimax LQ-control with additional integral sliding mode term. The design of this controller is reduced to a solution of an equivalent mini-max LQ problem that corresponds to the weighted performance indices with weights from a finite dimensional simplex. The additional integral sliding mode controller part completely dismisses the influence of matched uncertainties. Two illustrative numerical examples are presented.

Original languageEnglish
Pages (from-to)2988-2993
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume3
StatePublished - 2003
Externally publishedYes
Event42nd IEEE Conference on Decision and Control - Maui, HI, United States
Duration: 9 Dec 200312 Dec 2003

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