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Computation of Virtual Regions for Constrained Hybrid Systems

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Intelligent Computing and Information Science (ICICIS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 135))

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Abstract

An efficient method for computing invariant sets of mode transitions systems is proposed. The method is based on the convex optimization technique, the linear matrix inequality techniques and an iterative method. Computation of ellipsoidal invariant sets and polyhedral invariant sets is given. An invariant set for mode transitions systems which includes a finite-duration transition is computed by an iterative procedure. Finally, an example is given to validate this method.

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References

  1. Pei, H.-L., Krogh, B.H.: Stability Regions for Systems with mode Transition. In: Proc. of ACC 2001 (2001)

    Google Scholar 

  2. Branicky, M.S.: Multiple Lyapunov Functions and other Analysis Tools for Switched and Hybrid Systems. IEEE Transactions on Automatic Control 43(4) (April 1998)

    Google Scholar 

  3. Pei, H.-L., Krogh, B.H.: On the operator Post − 1 Technical Report, Dept. of Electrical and Computer Engineering, Carnegie Mellon University (2001)

    Google Scholar 

  4. Lygeros, J.: Lecture Notes on Hybrid Systems, Dept. of Electrical and Computer Engineering, University of Patras (February 2-6, 2004)

    Google Scholar 

  5. Donde, V.: Development of multiple Lyapunov functions for a hybrid power system with a tap changer, ECE Dep., University of Illinois at Urbana Champaign (2001)

    Google Scholar 

  6. Mayne, D.Q., Rawings, J.B.: Constrained Model Predictive: Stability and Optimality, Automatic 36 789–814 (2000)

    Google Scholar 

  7. Zhang, P., Cassandras, C.G.: An Improved Forward Algorithm for Optimal Control of a Class of Hybrid Systems. In: Proc. Of the 40th IEEE CDC (2001)

    Google Scholar 

  8. Jirstrand, M.: Invariant Sets for a Class of Hybrid Systems. In: IEEE, CDC 1998 (1998)

    Google Scholar 

  9. Girard, A., Le Guernic, C., Maler, O.: Efficient computation of reachable sets of linear time-invariant systems with inputs. In: Hespanha, J.P., Tiwari, A. (eds.) HSCC 2006. LNCS, vol. 3927, pp. 257–271. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  10. Blanchini, F.: Controlled-invariant sets (2006)

    Google Scholar 

  11. Chutinan, A., Krogh, B.H.: Compuring Polyhedral Approximations to Flow Pipes for Dynamic Systems. In: 37th IEEE Conference on Decision & Control

    Google Scholar 

  12. Kunder: Power System Stability and Control. McGraw-Hill, New York (1994)

    Google Scholar 

  13. Pai, M.A.: Power System Stability. North-Holland Publishing Co., Amsterdam (1981)

    MATH  Google Scholar 

  14. Boyd, S., et al.: Linear Matrix Inequalities in System and Control Theory. SIAM, Philadelphia (1994)

    Book  MATH  Google Scholar 

  15. Bertsekas, Rhodes: Min-max infinite-time reachability problem (1971a)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Li, J., Ji, Z., Pei, Hl. (2011). Computation of Virtual Regions for Constrained Hybrid Systems. In: Chen, R. (eds) Intelligent Computing and Information Science. ICICIS 2011. Communications in Computer and Information Science, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18134-4_45

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  • DOI: https://doi.org/10.1007/978-3-642-18134-4_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18133-7

  • Online ISBN: 978-3-642-18134-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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