A modified invariance principle and gain convergence in adaptive control

In spite of successful implementations of simple adaptive control systems, the convergence of the adaptive control gains has remained an open question for more that 30 years. Moreover, the customary opinion is that the control gains do not actually converge and instead they may continue wandering without reaching any limit at all. Recently, this open question, that may give pause to practitioners and potential users of adaptive control, has recently been solved. The paper shows how a modified LaSalles invariance principle in combination with Gromwall-Bellman Lemma have finally allowed solving the gain convergence problem. It is shown that the control gains do reach a constant value at the end of a process of steepest descent error minimization, thus allowing the conclusion that simple and robust adaptive control systems can successfully be implemented in real-world systems.

[1]  Liu Hsu,et al.  Mitigation of symmetry condition in positive realness for adaptive control , 2006, Autom..

[2]  A. L. Fradkov Quadratic Lyapunov functions in the adaptive stability problem of a linear dynamic target , 1976 .

[3]  Itzhak Barkana Comments on "Design of strictly positive real systems using constant output feedback" , 2004, IEEE Trans. Autom. Control..

[4]  R. E. Kalman,et al.  When Is a Linear Control System Optimal , 1964 .

[5]  Mark J. Balas,et al.  Robust Adaptive Control In Hilbert Space , 1989 .

[6]  I. Bar-Kana,et al.  Model reference adaptive control of large scale systems , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[7]  H. Kaufman,et al.  Global stability and performance of a simplified adaptive algorithm , 1985 .

[8]  Jan C. Willems,et al.  When is a linear system optimal , 2005 .

[9]  I. Bar-Kana Parallel feedforward and simplified adaptive control , 1987 .

[10]  X. Liao,et al.  Absolute Stability of Nonlinear Control Systems , 2008 .

[11]  Howard Kaufman,et al.  Direct Adaptive Control Algorithms , 1998 .

[12]  Itzhak Barkana,et al.  Adaptive model tracking with mitigated passivity conditions , 2007, ALCOSP.

[13]  John N. Warfield,et al.  Synthesis of linear communication networks , 1958 .

[14]  M. Balas,et al.  Model Reference Adaptive Control of Large Structural Systems , 1983 .

[15]  H. Kaufman,et al.  Implicit Adaptive Control for a Class of MIMO Systems , 1982, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Itzhak Barkana,et al.  On Gain Conditions and Convergence of Simple Adaptive Control , 2003 .

[17]  J. Amerongen,et al.  Model Reference Adaptive Control , 2018, The Control Systems Handbook.