H2 dynamic output feedback control of phase-type semi-Markov jump linear systems

IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
André M. de Oliveira , Oswaldo L.V. Costa
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引用次数: 0

Abstract

This paper deals with the design of H2 dynamic output feedback controllers for phase-type distributed semi-Markov jump linear systems. It is assumed that the state-space of the semi-Markov jump process can be written as the union of disjoint sets, called clusters, and that the only information available to the controller regarding the jumping process is which cluster it belongs to. We provide two sets of design conditions for the H2 control problem, written in terms of bilinear matrix inequalities, which are associated with the observability and controllability Grammians (referred to as the “primal” and “dual” approaches, respectively). An iterative separation procedure, formulated as a sequence of linear matrix inequalities optimization problems, is proposed to reduce an upper bound of the H2 norm of the system for both the primal and dual design conditions. We show that our conditions are not conservative in the sense that, for the Markov mode-dependent case, they also become necessary. Finally, we study the robust case, considering that the system matrices and transition rate matrix have polytopic uncertainties, and the observer-based control case, for which the conditions can be simplified and written directly as linear matrix inequalities. The paper concludes with an illustrative example in the context of systems subject to actuator and sensor faults.
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来源期刊
Nonlinear Analysis-Hybrid Systems
Nonlinear Analysis-Hybrid Systems AUTOMATION & CONTROL SYSTEMS-MATHEMATICS, APPLIED
CiteScore
8.30
自引率
9.50%
发文量
65
审稿时长
>12 weeks
期刊介绍: Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in any discipline. Papers that are principally concerned with the theory of hybrid systems should contain significant results indicating relevant applications. Papers that emphasize applications should consist of important real world models and illuminating techniques. Papers that interrelate various aspects of hybrid systems will be most welcome.
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