arXiv:1202.5688 [math.OC]AbstractReferencesReviewsResources
Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization
Indranil Pan, Saptarshi Das, Soumyajit Ghosh, Amitava Gupta
Published 2012-02-25Version 1
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.
Comments: 6 pages, 6 figures
Journal: Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011, art. no. 5978958, July 2011, Coimbatore
Categories: math.OC
Keywords: particle swarm optimization, networked variable gain controller, stabilizing gain selection, maximize robustness, variable controller gains
Tags: journal article
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