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On convexity in stabilization of nonlinear systems

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Nonlinear control in the year 2000 volume 2

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 259))

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Abstract

We recently derived a stability criterion for nonlinear systems, which can be viewed as a dual to Lyapunov’s second theorem. The criterion has a physical interpretation in terms of the stationary density of a substance that is generated in all points of the state space and flows along the system trajectories. If the stationary density is finite everywhere except at a singularity in the origin, then almost all trajectories tend towards the origin.

Here we consider consider state feedback for nonlinear systems and show that the search for a control law and density function that satisfy the convergence criterion can be stated in terms of convex optimization. The method is also applied to the problem of smooth blending of two given control laws.

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References

  1. Z. Artstein. Stabilization with relaxed controls. Nonlinear Analysis TMA, 7:1163–1173, 1983.

    Article  MATH  MathSciNet  Google Scholar 

  2. S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan. Linear Matrix Inequalities in System and Control Theory, volume 15 of Studies in Applied Mathematics. SIAM, Philadelphia, 1994.

    Google Scholar 

  3. R.W. Brockett. Asymptotic stability and feedback stabilization. In R.W. Brockett, R.S. Millman, and H.J. Sussmann, editors, Differential Geometric Control Theory, volume 27 of Progress in Mathematics. Birkhauser, Boston, 1983.

    Google Scholar 

  4. L. K. Ford and D. K. Fulkerson. Flows in Networks. Princeton University Press, Princeton, New Jersey, 1962.

    MATH  Google Scholar 

  5. W. Hahn. Theory and Applications of Lyapunov's Direct Method. Prentice-Hall, Englewood Cliffs, New Jersey, 1963.

    Google Scholar 

  6. A. Isidori. Nonlinear Control Systems. Springer-Verlag, London, 1995.

    MATH  Google Scholar 

  7. M. Krstic, I. Kanellakopoulos, and P. Kokotovich. Nonlinear and Adaptive Control Design. John Wiley & Sons, New York, 1962.

    Google Scholar 

  8. Yuri S. Ledyaev and Eduardo D. Sontag. A Lyapunov characterization of robust stabilization. Nonlinear Analysis, 37:813–840, 1999.

    Article  MathSciNet  Google Scholar 

  9. Laurent Praly. Personal communication.

    Google Scholar 

  10. Christophe Prieur and Laurent Praly. Uniting local and global controllers. In Proceedings of IEEE Conference on Decision and Control, pages 1214–1219, Arizona, December 1999.

    Google Scholar 

  11. A. Rantzer. A dual to Lyapunov's second theorem. Submitted for journal publication, March 2000.

    Google Scholar 

  12. A. Rantzer and M. Johansson. Piecewise linear quadratic optimal control. IEEE Trans. on Automatic Control, April 2000.

    Google Scholar 

  13. R. Vinter. Convex duality and nonlinear optimal control. SIAM J. Control and Optimization, 31(2):518–538, March 1993.

    Article  MATH  MathSciNet  Google Scholar 

  14. J.C. Willems. Dissipative dynamical systems, part I: General theory; part II: Linear systems with quadratic supply rates. Arch. Rational Mechanics and Analysis, 45(5):321–393, 1972.

    Article  MATH  MathSciNet  Google Scholar 

  15. L. C. Young. Lectures on the Calculus of Variations and Optimal Control Theory. W. B. Saunders Company, Philadelphia, Pa, 1969.

    MATH  Google Scholar 

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Alberto Isidori Françoise Lamnabhi-Lagarrigue Witold Respondek

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© 2001 Springer-Verlag London Limited

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Rantzer, A. (2001). On convexity in stabilization of nonlinear systems. In: Isidori, A., Lamnabhi-Lagarrigue, F., Respondek, W. (eds) Nonlinear control in the year 2000 volume 2. Lecture Notes in Control and Information Sciences, vol 259. Springer, London. https://doi.org/10.1007/BFb0110311

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  • DOI: https://doi.org/10.1007/BFb0110311

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-364-5

  • Online ISBN: 978-1-84628-569-1

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