Lyapunov functions for time-varying systems satisfying generalized conditions of Matrosov theorem

Mathematics of Control, Signals and Systems - Tập 19 - Trang 151-182 - 2007
Frédéric Mazenc1, Dragan Nesic2
1Projet MERE INRIA-INRA, UMR Analyse des Systèmes, et Biométrie, INRA 2, Montpellier, France
2Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, Australia

Tóm tắt

The classical Matrosov theorem concludes uniform asymptotic stability of time-varying systems via a weak Lyapunov function (positive definite, decrescent, with negative semi-definite derivative along solutions) and another auxiliary function with derivative that is strictly nonzero where the derivative of the Lyapunov function is zero (Mastrosov in J Appl Math Mech 26:1337–1353, 1962). Recently, several generalizations of the classical Matrosov theorem have been reported in Loria et al. (IEEE Trans Autom Control 50:183–198, 2005). None of these results provides a construction of a strong Lyapunov function (positive definite, decrescent, with negative definite derivative along solutions) which is a very useful analysis and controller design tool for nonlinear systems. Inspired by generalized Matrosov conditions in Loria et al. (IEEE Trans Autom Control 50:183–198, 2005), we provide a construction of a strong Lyapunov function via an appropriate weak Lyapunov function and a set of Lyapunov-like functions whose derivatives along solutions of the system satisfy inequalities that have a particular triangular structure. Our results will be very useful in a range of situations where strong Lyapunov functions are needed, such as robustness analysis and Lyapunov function-based controller redesign. We illustrate our results by constructing a strong Lyapunov function for a simple Euler-Lagrange system controlled by an adaptive controller and use this result to determine an ISS controller.

Tài liệu tham khảo

Aeyels D (1995). Asymptotic stability of nonautonomous systems by Lyapunov’s direct method. Syst Control Lett 25: 273–280 Angeli D (1999). Input-to-state stability of PD-controlled robotic systems. Automatica 35: 1285–1290 Angeli D, Sontag ED and Wang Y (2000). A characterization of integral input-to-state stability. IEEE Trans Autom Control 45: 1082–1097 Freeman R and Praly L (1998). Integrator backstepping for bounded controls and control rates. IEEE Trans Autom Control 43: 258–262 Jurdjević V and Quinn JP (1978). Controllability and stability. J Differ Equ 28: 381–389 Khalil HK (1996). Nonlinear systems, 2nd edn. Prentice Hall, New Jersey Kristic M, Kanellakopoulos I and Kokotovic PV (1995). Nonlinear and adaptive control design. Wiley-Interscience, New York LaSalle JP (1960). Some extensions of Lyapunov’s second method. IRE Trans Circuit Theory CT-7(4): 520–527 Lee TC (2003) On the equivalence relations of detectability and PE conditions with applications to stability analysis of time-varying systems. In: Proceedings of the 2003 American Control Conference, Denver, Colorado, pp 1873–1878 Loria A, Kelly R, Teel A (2003) Uniform parametric convergence in the adaptive control of manipulators: a case restudied. In: Proceedings of the IEEE Conf Robotics Automat, Taipei, Taiwan, pp 1062–1067 Loria A, Panteley E, Popović D and Teel A (2005). A nested Matrosov theorem and persistency of excitation for uniform convergence in stable non-autonomous systems. IEEE Trans Autom Control 50: 183–198 Loria A, Panteley E and Teel A (2002). Integral characterizations of uniform asymptotic and exponential stability with applications. Math Contr Sign Sys 15: 177–201 Loria A, Panteley E and Teel A (2001). Relaxed persistency of excitation for uniform asymptotic stability. IEEE Trans Autom Control 46: 1874–1886 Malisoff M and Mazenc F (2005). Further remarks on strict input-to-state stable Lyapunov functions for time-varying systems. Automatica 41: 1973–1290 Mastrosov VM (1962). On the stability of motion. J Appl Math Mech 26: 1337–1353 Mazenc F (2003). Strict Lyapunov functions for time-varying systems. Automatica 39: 349–353 Mazenc F and Nešić D (2004). Strong Lyapunov functions for systems satisfying the conditions of La Salle. IEEE Trans Autom Control 49: 1026–1030 Narendra KS and Annaswamy AM (1987). Persistent excitation in adaptive systems. Int J Control 45: 127–160 Samson C (1995). Control of chained system: Application to path following and time-varying point stabilization of mobile robots. IEEE Trans Autom Control 40: 64–77 Sastry S (1999). Nonlinear systems, analysis, stability and control. Springer, New York Sepulchre R, Jankovic M and Kokotovic PV (1996). Constructive nonlinear Control. Springer, Berlin Slotine JJ and Li W (1988). Adaptive manipulator control: a case study. IEEE Trans Autom Control 33: 995–1003 Sontag ED (1989). Smooth stabilization implies coprime factorization. IEEE Trans Autom Control 34: 435–443 Sontag ED (2001). The ISS philosophy as unifying framework for stability-like behavior. In: Isidori, A, Lamnabhi-Lagarrigue, F and Respondek, W (eds) Nonlinear control in the year 2000, vol. 2, pp 443–468. Springer, London Sontag ED and Teel A (1995). Changing Supply Functions in Input/State Stable System. IEEE Trans Autom Control 40: 1476–1478 Sontag ED and Wang Y (1995). New Characterization of Input-to-State Stability. IEEE Trans Autom Control 41: 1283–1294