JOURNAL ARTICLE

Robust control of linear uncertain systems with regional pole and variance constraints

Yu Li

Year: 2000 Journal:   International Journal of Systems Science Vol: 31 (3)Pages: 367-371   Publisher: Taylor & Francis

Abstract

This paper concerns the design problem of state feedback controllers which guarantee the closed-loop poles within a specified disc and steady-state variances to be less than a set of given upper bounds for linear systems with norm-bounded parameter uncertainties. Using the linear matrix inequality approach, the existence conditions of such controllers are derived. A parametrized representation of the desired controllers is presented in terms of the feasible solutions to a certain linear matrix inequality system. Based on this, a solution to the minimum-effect guaranteed-performance design problem is presented in the sense that the required control effort is minimized subject to performance constraints.

Keywords:
Control theory (sociology) Mathematics Bounded function Linear system Linear matrix inequality Norm (philosophy) Mathematical optimization Representation (politics) Robust control State (computer science) Variance (accounting) Full state feedback Closed-loop pole Set (abstract data type) Control (management) Control system Computer science Engineering Algorithm

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Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Vehicle Dynamics and Control Systems
Physical Sciences →  Engineering →  Automotive Engineering

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