Strict Lyapunov functions for model-reference adaptive control based on the Mazenc construction

We analyze the stability of systems stemming from direct model-reference adaptive control. Although the statements of stability themselves are well-established for many years now, we provide a direct stability analysis both for linear and nonlinear systems under conditions of persistency of excitation. Our proofs are short and constructive as we provide strict Lyapunov functions that have all the required properties as established by Barbashin/Krasovskii's seminal papers on uniform global asymptotic stability.

[1]  Jaime A. Moreno,et al.  A new finite-time convergent and robust direct model reference adaptive control for SISO linear time invariant systems , 2011, IEEE Conference on Decision and Control and European Control Conference.

[2]  K. Narendra,et al.  On the Stability of Nonautonomous Differential Equations $\dot x = [A + B(t)]x$, with Skew Symmetric Matrix $B(t)$ , 1977 .

[3]  Antonio Loría,et al.  Strict Lyapunov Functions for Model Reference Adaptive Control: Application to Lagrangian Systems , 2019, IEEE Transactions on Automatic Control.

[4]  H. Khalil Adaptive output feedback control of nonlinear systems represented by input-output models , 1996, IEEE Trans. Autom. Control..

[5]  Ti-Chung Lee,et al.  On the equivalence relations of detectability and PE conditions with applications to stability analysis of time-varying systems , 2003, Proceedings of the 2003 American Control Conference, 2003..

[6]  Anuradha M. Annaswamy,et al.  Adaptive control and the definition of exponential stability , 2015, 2015 American Control Conference (ACC).

[7]  Michael Malisoff,et al.  Uniform Global Asymptotic Stability of a Class of Adaptively Controlled Nonlinear Systems , 2009, IEEE Transactions on Automatic Control.

[8]  M. Malisoff,et al.  Constructions of Strict Lyapunov Functions , 2009 .

[9]  Manfredi Maggiore,et al.  Adaptive Output Feedback Control , 2002 .

[10]  Antonio Loría,et al.  Uniform exponential stability of linear time-varying systems: revisited , 2002, Syst. Control. Lett..

[11]  Olivier Bernard,et al.  A Simplified Design for Strict Lyapunov Functions Under Matrosov Conditions , 2009, IEEE Transactions on Automatic Control.

[12]  Maria Adler,et al.  Stable Adaptive Systems , 2016 .

[13]  K. Narendra,et al.  Persistent excitation in adaptive systems , 1987 .

[14]  S. Sastry,et al.  Adaptive Control: Stability, Convergence and Robustness , 1989 .

[15]  Antonio Loría,et al.  Relaxed persistency of excitation for uniform asymptotic stability , 2001, IEEE Trans. Autom. Control..

[16]  M Sidman,et al.  Equivalence relations. , 1997, Journal of the experimental analysis of behavior.

[17]  Anuradha M. Annaswamy,et al.  Robust Adaptive Control , 1984, 1984 American Control Conference.

[18]  K. Narendra,et al.  On the uniform asymptotic stability of certain linear nonautonomous differential equations , 1976 .

[19]  Frédéric Mazenc,et al.  Strict Lyapunov functions for time-varying systems , 2003, Autom..

[20]  B. Anderson Exponential stability of linear equations arising in adaptive identification , 1977 .

[21]  K. Narendra,et al.  Robust adaptive control in the presence of bounded disturbances , 1986 .

[22]  Antonio Loría,et al.  Explicit convergence rates for MRAC-type systems , 2004, Autom..

[23]  Karl Johan Åström,et al.  Numerical Identification of Linear Dynamic Systems from Normal Operating Records , 1965 .