Optimal Control of Uncertain Nonlinear Quadratic Systems with Constrained Inputs

TL;DR

This paper develops a robust optimal control method for uncertain nonlinear quadratic systems with input constraints, ensuring stability and performance through LMI-based design procedures.

Contribution

It introduces a guaranteed cost control approach for nonlinear quadratic systems with uncertainties and input constraints, providing new conditions for stability and performance guarantees.

Findings

Ensures local exponential stability of the closed-loop system.

Provides conditions for stability region inclusion.

Offers LMI-based solutions for optimal control problems.

Abstract

This paper addresses the problem of robust and optimal control for the class of nonlinear quadratic systems subject to norm-bounded parametric uncertainties and disturbances, and in presence of some amplitude constraints on the control input. By using an approach based on the guaranteed cost control theory, a technique is proposed to design a state feedback controller ensuring for the closed-loop system: i) the local exponential stability of the zero equilibrium point; ii) the inclusion of a given region into the domain of exponential stability of the equilibrium point; iii) the satisfaction of a guaranteed level of performance, in terms of boundedness of some optimality indexes. In particular, a sufficient condition for the existence of a state feedback controller satisfying a prescribed integral-quadratic index is provided, followed by a sufficient condition for the existence of a state feedback controller satisfying a given $\mathcal L_2$-gain disturbance rejection constraint. By the proposed design procedures, the optimal control problems dealt with here can be efficiently solved as Linear Matrix Inequality (LMI) optimization problems.