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Lyapunov stability and generalized invariance principle for nonconvex differential inclusions

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Abstract

This paper studies the system stability problems of a class of nonconvex differential inclusions. At first, a basic stability result is obtained by virtue of locally Lipschitz continuous Lyapunov functions. Moreover, a generalized invariance principle and related attraction conditions are proposed and proved to overcome the technical difficulties due to the absence of convexity. In the technical analysis, a novel set-valued derivative is proposed to deal with nonsmooth systems and nonsmooth Lyapunov functions. Additionally, the obtained results are consistent with the existing ones in the case of convex differential inclusions with regular Lyapunov functions. Finally, illustrative examples are given to show the effectiveness of the methods.

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References

  1. D. E. Stewart. Rigid-body dynamics with friction and impact. SIAM Review, 2000, 42(1): 3–39.

    Article  MATH  MathSciNet  Google Scholar 

  2. J. Cortes. Discontinuous dynamical systems: A tutorial on solutions, nonsmooth analysis, and stability. IEEE Control Systems Magazine, 2009, 28(3): 36–73.

    Article  MathSciNet  Google Scholar 

  3. G. Shi, Y. Hong. Global target aggregation and state agreement of nonlinear multi-agent systems with switching topologies. Automatica, 2009, 45(5): 1165–1175.

    Article  MATH  MathSciNet  Google Scholar 

  4. M. S. Branicky, V. S. Borkar, S. K. Mitter. A unified framework for hybrid control: model and optimal control theory. IEEE Transactions on Automatic Control, 1998, 43(1): 31–45.

    Article  MATH  MathSciNet  Google Scholar 

  5. D. Feijer, F. Paganini. Stability of primal-dual gradient dynamics and applications to network optimization. Automatica, 2010, 46(12): 1974–1981.

    Article  MATH  MathSciNet  Google Scholar 

  6. V. Utkin. Sliding Modes in Control Optimization. Berlin: Springer, 1992.

    Book  MATH  Google Scholar 

  7. R. W. Brockett. Asymptotic stability and feedback stabilization. Differential Geometric Control Theory. R. W. Brockett, R. S. Millmann, H. J. Sussmann, eds. Boston: Birkhauser, 1983: 181–191.

    Google Scholar 

  8. P. Yi, Y. Hong, F. Liu. Distributed gradient algorithm for constrained optimization with application to load sharing in power systems. Systems & Control Letters, 2015, 83: 45–52.

    Article  MATH  MathSciNet  Google Scholar 

  9. J. P. Aubin, A. Cellina. Differential Inclusions. Berlin: Springer, 1984.

    Book  MATH  Google Scholar 

  10. A. F. Filippov. Differential Equations with Discontinuous Righthand Sides. Boston: Kluwer Academic Publishers, 1988.

    Book  Google Scholar 

  11. F. H. Clarke, Y. S. Ledyaev, E. D. Sontag, et al. Asymptotic controllability implies feedback stabilization. IEEE Transactions on Automatic Control, 1997, 42(10): 1394–1407.

    Article  MATH  MathSciNet  Google Scholar 

  12. K. E. Brenan, S. L. Campbell, L. R. Petzold. Numerical Solution of Initial-value Problems in Differential-algebraic Equations. New York: North-Holland, 1989.

    MATH  Google Scholar 

  13. J. S. Pang, J. Shen. Strongly regular differential variational systems. IEEE Transactions on Automatic Control, 2007, 52(2): 242–255.

    Article  MathSciNet  Google Scholar 

  14. A. Nagurney, D. Zhang. Projected Dynamical Systems and Variational Inequalities with Applications. New York: Springer, 1995.

    MATH  Google Scholar 

  15. B. Brogliato, A. Daniilidis, C. Lemaréchal, et al. On the equivalence between complementarity systems, projected systems and differential inclusions. Systems & Control Letters, 2006, 55(1): 45–51.

    Article  MATH  MathSciNet  Google Scholar 

  16. H. K. Khalil. Nonlinear Systems. 3rd ed. Upper Saddle River: Pearson Education, 2002.

    MATH  Google Scholar 

  17. L. Rifford. Existence of Lipschitz and semiconcave control–Lyapunov functions. SIAM Journal on Control & Optimization, 2000, 39(4): 1043–1064.

    Article  MATH  MathSciNet  Google Scholar 

  18. D. Shevitz, B. Paden. Lyapunov stability theory of nonsmooth systems. IEEE Transactions on Automatic Control, 1994, 39(9): 1910–1914.

    Article  MATH  MathSciNet  Google Scholar 

  19. A. Bacciotti, F. Ceragioli. Stability and stabilization of discontinuous systems and nonsmooth Lyapunov functions. Esaim Control Optimisation & Calculus of Variations, 1999, 4: 361–376.

    Article  MATH  MathSciNet  Google Scholar 

  20. E. Moulay, W. Perruquetti. Finite time stability of differential inclusions. IMA Journal of Mathematical Control & Information, 2005, 22(4): 465–475.

    Article  MATH  MathSciNet  Google Scholar 

  21. A. Bacciotti, L. Rosier. Lyapunov Functions and Stability in Control Theory. 2nd ed. Berlin: Springer, 2005.

    Book  MATH  Google Scholar 

  22. F. H. Clarke, Y. S. Ledyaev, R. J. Stern, et al. Nonsmooth Analysis and Control Theory. New York: Springer, 1998.

    MATH  Google Scholar 

  23. R. G. Sanfelice, R. Goebel, A. R. Teel. Invariance principles for hybrid systems with connections to detectability and asymptotic stability. IEEE Transactions on Automatic Control, 2007, 52(12): 2282–2297.

    Article  MathSciNet  Google Scholar 

  24. N. Fischer, R. Kamalapurkar, W. E. Dixon. LaSalle-Yoshizawa corollaries for nonsmooth systems. IEEE Transactions on Automatic Control, 2013, 58(9): 2333–2338.

    Article  MathSciNet  Google Scholar 

  25. A. Bacciotti, F. Ceragioli. Nonpathological Lyapunov functions and discontinuous Carathéodory systems. Automatica, 2006, 42(3): 453–458.

    Article  MATH  MathSciNet  Google Scholar 

  26. S. P. Bhat, D. S. Bernstein. Nontangency-based Lyapunov tests for convergence and stability in systems having a continuum of equilibria. SIAM Journal on Control & Optimization, 2003, 42(5): 1745–1775.

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to Yiguang Hong.

Additional information

This work was supported by the Beijing Natural Science Foundation (No. 4152057), the Natural Science Foundation of China (Nos. 61333001, 61573344), and the China Postdoctoral Science Foundation (No. 2015M581190).

Shu LIANG received the B.E. degree in Automatic Control and the Ph.D. degree in Engineering from the University of Science and Technology of China, Hefei, China, in 2010 and 2015, respectively. He is currently a postdoctoral fellow with the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China. His research interests include nonsmooth systems and control, distributed optimizations, game theory, and fractional order systems.

Xianlin ZENG received the B.S. and M.S. degrees in Control Science and Engineering from the Harbin Institute of Technology, Harbin, China, in 2009 and 2011, respectively, and the Ph.D. degree in Mechanical Engineering from the Texas Tech University. He is currently a postdoctoral in Key Laboratory of Systems and Control, Institute of Systems Science, Chinese Academy of Sciences, Beijing, China. His current research interests include distributed optimization and distributed control, hybrid control and synchronization of network systems.

Yiguang HONG received his B.S. and M.S. degrees from Department of Mechanics, Peking University, China, and Ph.D. degree from Chinese Academy of Sciences (CAS). He is currently a professor in Academy of Mathematics and Systems Science, CAS. His research interests include nonlinear dynamics and control, multi-agent systems, distributed optimization, and social networks.

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Liang, S., Zeng, X. & Hong, Y. Lyapunov stability and generalized invariance principle for nonconvex differential inclusions. Control Theory Technol. 14, 140–150 (2016). https://doi.org/10.1007/s11768-016-6037-2

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  • DOI: https://doi.org/10.1007/s11768-016-6037-2

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