Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization

TL;DR

This paper introduces a PSO-based method to optimize variable gain controllers in networked control systems, enhancing robustness and stability amid data losses.

Contribution

It presents a novel approach combining variable gain control with PSO to maximize robustness in NCSs under data loss conditions.

Findings

PSO effectively optimizes controller gains for robustness.

LMI formulation ensures stability under data loss.

Method improves system robustness in networked environments.

Abstract

Networked Control Systems (NCSs) are often associated with problems like random data losses which might lead to system instability. This paper proposes a method based on the use of variable controller gains to achieve maximum parametric robustness of the plant controlled over a network. Stability using variable controller gains under data loss conditions is analyzed using a suitable Linear Matrix Inequality (LMI) formulation. Also, a Particle Swarm Optimization (PSO) based technique is used to maximize parametric robustness of the plant.