{
  "id": "1202.5688",
  "version": "v1",
  "published": "2012-02-25T19:35:14.000Z",
  "updated": "2012-02-25T19:35:14.000Z",
  "title": "Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization",
  "authors": [
    "Indranil Pan",
    "Saptarshi Das",
    "Soumyajit Ghosh",
    "Amitava Gupta"
  ],
  "comment": "6 pages, 6 figures",
  "journal": "Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011, art. no. 5978958, July 2011, Coimbatore",
  "doi": "10.1109/PACC.2011.5978958",
  "categories": [
    "math.OC"
  ],
  "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.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2012-02-25T19:35:14.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "particle swarm optimization",
      "networked variable gain controller",
      "stabilizing gain selection",
      "maximize robustness",
      "variable controller gains"
    ],
    "tags": [
      "journal article"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 6,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}