The Inherent Robustness of a New Approach to Adaptive Control

Recently it has been shown how to carry out adaptive control for an LTI plant so that the effect of the initial condition decays exponentially to zero and so that the input-output behavior enjoys a convolution bound. This, in turn, has been leveraged to prove, in several special cases, that the closed-loop system is robust in the sense that both of these properties are maintained in the presence of a small amount of parameter time-variation and unmodelled dynamics. The goal of this paper is to show that this robustness property is true for a general adaptive controller which may include multi-estimators; the immediate ramification is that if we are able to prove exponential stability and a convolution bound for the case of fixed plant parameters, then robustness comes for free.

[1]  A. Morse,et al.  Adaptive control of single-input, single-output linear systems , 1977, 1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications.

[2]  K. Narendra,et al.  Stable adaptive controller design, part II: Proof of stability , 1980 .

[3]  K. Narendra,et al.  Stable discrete adaptive control , 1980 .

[4]  D. Mayne,et al.  Design issues in adaptive control , 1988 .

[5]  Daniel E. Miller Classical discrete-time adaptive control revisited: Exponential stabilization , 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).

[6]  Daniel E. Miller,et al.  Adaptive tracking with exponential stability and convolution bounds using vigilant estimation , 2020, Math. Control. Signals Syst..

[7]  G. Zames On the input-output stability of time-varying nonlinear feedback systems Part one: Conditions derived using concepts of loop gain, conicity, and positivity , 1966 .

[8]  Petros A. Ioannou,et al.  Adaptive control of linear time-varying plants: a new model reference controller structure , 1989 .

[9]  David J. Hill,et al.  Global boundedness of discrete-time adaptive control just using estimator projection , 1992, Autom..

[10]  B. Ydstie Transient performance and robustness of direct adaptive control , 1992 .

[11]  Daniel E. Miller,et al.  Classical pole placement adaptive control revisited: linear-like convolution bounds and exponential stability , 2018, Math. Control. Signals Syst..

[12]  Michael Athans,et al.  Robustness of continuous-time adaptive control algorithms in the presence of unmodeled dynamics , 1985 .

[13]  B. Anderson,et al.  Robust model reference adaptive control , 1986 .

[14]  Han-Fu Chen,et al.  Robust adaptive pole placement for linear time-varying systems , 1996, IEEE Trans. Autom. Control..

[15]  Petros A. Ioannou,et al.  A robust direct adaptive controller , 1986 .

[16]  A. Morse,et al.  Global stability of parameter-adaptive control systems , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[17]  Daniel E Miller,et al.  Classical d-Step-Ahead Adaptive Control Revisited: Linear-Like Convolution Bounds and Exponential Stability , 2019, 2019 American Control Conference (ACC).

[18]  G. Kreisselmeier Adaptive control of a class of slowly time-varying plants , 1986 .

[19]  Daniel E. Miller,et al.  Adaptive Set-Point Regulation using Multiple Estimators , 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

[20]  C. Desoer Slowly varying discrete system xi+1=Aixi , 1970 .

[21]  Sanjeev M. Naik,et al.  Robust continuous-time adaptive control by parameter projection , 1992 .

[22]  B. Ydstie Stability of discrete model reference adaptive control-revisited , 1990 .

[23]  Daniel E. Miller,et al.  Multi-Estimator Based Adaptive Control which Provides Exponential Stability: The First-Order Case , 2018, 2018 IEEE Conference on Decision and Control (CDC).

[24]  Daniel E. Miller A parameter adaptive controller which provides exponential stability: The first order case , 2017, Syst. Control. Lett..

[25]  Graham Goodwin,et al.  Discrete time multivariable adaptive control , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[26]  Changyun Wen,et al.  A robust adaptive controller with minimal modifications for discrete time-varying systems , 1994, IEEE Trans. Autom. Control..