JOURNAL ARTICLE

A new polynomial robust controller design for nonlinear uncertain systems

Abstract

The problem of stabilizing a class of nonlinear uncertain systems is considered. The system possesses uncertainty which is time-varying; the uncertainty is unknown but lies within a prescribed set. No statistical information on the uncertainty is imposed. A new controller design which invokes a polynomial state dependent gain is proposed. The coefficients of the polynomial provide design flexibility. If the order of the polynomial is chosen high enough, then practical stability, is assured regardless of the choice of the coefficients. Two design methods, pole-placement and linear quadratic, are proposed for the coefficients.< >

Keywords:
Polynomial Nonlinear system Flexibility (engineering) Control theory (sociology) Set (abstract data type) Controller (irrigation) Quadratic equation Stability (learning theory) Class (philosophy) Robust control Mathematics Kharitonov's theorem Mathematical optimization State (computer science) Computer science Applied mathematics Algorithm Matrix polynomial Artificial intelligence Control (management) Square-free polynomial Statistics Machine learning

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Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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