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International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)
Suboptimal Contractive Predictive Control for a Class of Hybrid Systems
Sydney Australia
November 28-December 01
ISBN: 0-7695-2731-0
Jalal Habibi, University of Tehran, Iran
Behzad Moshiri, University of Tehran, Iran; Senior Member, IEEE
Ali Khaki Sedigh, K.N. Toosi University of Technology, Iran
Current state-of-the-art approaches for control of hybrid systems face with two main important challenging problems which are guaranteeing the stability and the computational complexity. In this article a new approach has been proposed to guarantee the closed loop stability of a class of hybrid systems while reducing the complexity of control problem by introducing some level of suboptimality. It has been shown that using contraction constraint on the objective function results in asymptotically stable closed loop system. It has also been described that since only feasibility is sufficient for stability in the proposed approach, suboptimal control could be used to reduce the computational complexity.
Citation:
Jalal Habibi, Behzad Moshiri, Ali Khaki Sedigh, "Suboptimal Contractive Predictive Control for a Class of Hybrid Systems," cimca, pp.123, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006
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