A Control Lyapunov Approach to Predictive Control of Hybrid Systems

  • Authors:
  • S. Cairano;M. Lazar;A. Bemporad;W. P. Heemels

  • Affiliations:
  • Dip. Ingegneria dell'Informazione, Università di Siena, Siena, Italy 53100;Dept. of Electrical Eng., ,;Dip. Ingegneria dell'Informazione, Università di Siena, Siena, Italy 53100;Dept. of Mechanical Eng., Eindhoven Univ. of Technology, Eindhoven, The Netherlands 5600 MB

  • Venue:
  • HSCC '08 Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control
  • Year:
  • 2008

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Abstract

In this paper we consider the stabilization of hybrid systems with both continuous and discrete dynamics via predictive control. To deal with the presence of discrete dynamics we adopt a "hybrid" control Lyapunov function approach, which consists of using two different functions. A Lyapunov-like function is designed to ensure finite-time convergence of the discrete state to a target value, while asymptotic stability of the continuous state is guaranteed via a classical local control Lyapunov function. We show that by combining these two functions in a proper manner it is no longer necessary that the control Lyapunov function for the continuous dynamics decreases at each time step. This leads to a significant reduction of conservativeness in contrast with classical Lyapunov based predictive control. Furthermore, the proposed approach also leads to a reduction of the horizon length needed for recursive feasibility with respect to standard predictive control approaches.