{
  "id": "1408.6917",
  "version": "v1",
  "published": "2014-08-29T03:37:51.000Z",
  "updated": "2014-08-29T03:37:51.000Z",
  "title": "Optimal Stabilization using Lyapunov Measures",
  "authors": [
    "Arvind Raghunathan",
    "Umesh Vaidya"
  ],
  "journal": "IEEE Transactions on Automatic Control, Vol 59, No. 5, pg. 1316-1321, 2014",
  "categories": [
    "math.OC"
  ],
  "abstract": "Numerical solutions for the optimal feedback stabilization of discrete time dynamical systems is the focus of this paper. Set-theoretic notion of almost everywhere stability introduced by the Lyapunov measure, weaker than conventional Lyapunov function-based stabilization methods, is used for optimal stabilization. The linear Perron-Frobenius transfer operator is used to pose the optimal stabilization problem as an infinite dimensional linear program. Set-oriented numerical methods are used to obtain the finite dimensional approximation of the linear program. We provide conditions for the existence of stabilizing feedback controls and show the optimal stabilizing feedback control can be obtained as a solution of a finite dimensional linear program. The approach is demonstrated on stabilization of period two orbit in a controlled standard map.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2014-08-29T03:37:51.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "optimal stabilization",
      "lyapunov measure",
      "stabilizing feedback control",
      "infinite dimensional linear program",
      "conventional lyapunov function-based stabilization methods"
    ],
    "tags": [
      "journal article"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}