Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization
Optimization and Control
2012-02-28 v1
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.
Cite
@article{arxiv.1202.5688,
title = {Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization},
author = {Indranil Pan and Saptarshi Das and Soumyajit Ghosh and Amitava Gupta},
journal= {arXiv preprint arXiv:1202.5688},
year = {2012}
}
Comments
6 pages, 6 figures