Model Based Robust Control Law for Linear Event-triggered System

TL;DR

This paper introduces a robust control framework for linear uncertain systems using event-triggered strategies to reduce communication and computation, ensuring stability despite uncertainties.

Contribution

It develops novel static and dynamic event-triggering rules with positive inter-event times and stability criteria for uncertain systems.

Findings

Proposed control laws maintain stability under uncertainties.

Event-triggering reduces communication and computation.

Simulation results validate effectiveness.

Abstract

This paper proposes a framework to design an event-triggered based robust control law for linear uncertain system. The robust control law is realized through both static and dynamic event-triggering approach to reduce the computation and communication usages. Proposed control strategies ensure stability in the presence of bounded matched and unmatched system uncertainties. Derivation of event-triggering rule with a non-zero positive inter-event time and corresponding stability criteria for uncertain event-triggered system are the key contributions of this paper. The efficacy of proposed algorithm is carried out through a comparative study of simulation results.