Stabilization of discrete-time nonlinear systems based on control dissipation functions

TL;DR

This paper introduces a dissipativity-based framework for designing stabilizing controllers for discrete-time nonlinear systems with constraints, utilizing control dissipation functions to ensure stability.

Contribution

It develops a novel control dissipation function approach and constructs stabilizing receding horizon controllers for constrained nonlinear systems.

Findings

Controllers based on CDFs stabilize interconnected generators.

The framework guarantees asymptotic Lyapunov stability.

Demonstrated effectiveness on nonlinear constrained systems.

Abstract

This paper develops a dissipativity-based framework for synthesis of stabilizing controllers for discrete-time nonlinear systems subject to state/input constraints. Firstly, we revisit dissipation inequalities for discrete-time nonlinear systems that involve general storage and supply functions. We prove that positive definite storage functions and cyclically negative supply functions yield asymptotic Lyapunov stability. Secondly, we define control dissipation functions (CDFs) and we construct stabilizing receding horizon controllers by minimizing CDFs subject to a cyclically negative supply condition. The effectiveness of stabilizing controllers based on CDFs is demonstrated on stabilization of interconnected synchronous generators with nonlinear coupling and state/input constraints.