Stabilization Based Networked Predictive Controller Design for Switched Plants
Abstract
Stabilizing state feedback controller has been designed in this paper for a switched DC motor plant, controlled over communication network. The switched system formulation for the networked control system (NCS) with additional switching in a plant parameter along with the switching due to random packet losses, have been formulated as few set of non-strict Linear Matrix Inequalities (LMIs). In order to solve non-strict LMIs using standard LMI solver and to design the stabilizing state feedback controller, the Cone Complementary Linearization (CCL) technique has been adopted. Simulation studies have been carried out for a DC motor plant, operating at two different sampling times with random switching in the moment of inertia, representing sudden jerks.
Keywords
Cite
@article{arxiv.1210.8197,
title = {Stabilization Based Networked Predictive Controller Design for Switched Plants},
author = {Avijit Routh and Sourav Das and Saptarshi Das and Indranil Pan},
journal= {arXiv preprint arXiv:1210.8197},
year = {2013}
}
Comments
6 pages, 4 figures