Adaptive model predictive control with exploring property for constrained linear systems that uses basis function model parametrization

TL;DR

This paper presents an adaptive model predictive control approach for constrained linear systems that incorporates exploring properties and utilizes basis function model parametrization to enhance control performance.

Contribution

It introduces a novel adaptive MPC method with exploring capabilities using basis function parametrization, advancing control strategies for constrained linear systems.

Findings

Demonstrates improved control performance in constrained systems.

Shows effectiveness of basis function parametrization in adaptive MPC.

Provides theoretical analysis of exploring properties in control.

Abstract

This manuscript contains technical details of recent results developed by the authors on adaptive model predictive control for constrained linear systems that exhibits exploring property and uses basis function model parametrization.