Stability Overlay for linear and nonlinear time-varying plants

This paper proposes a strategy referred to as Stability Overlay (SO) for linear and nonlinear time-varying plants, that provides input/output stability guarantees for a wide set of adaptive control schemes. We use this methodology to endow Multiple-Model Adaptive Control (MMAC) architectures with robust stability properties when the plant to be controlled is uncertain and time-varying. We emphasize that adaptive control strategies should be able to handle time-varying plants, since these methodologies are usually applied to plants with drifting parameters. The results presented herein clearly indicate that multiple-model strategies augmented with the SO for time-varying plants ensure stability of the closed-loop for a wide class of disturbances and model uncertainty, while providing high performance capabilities whenever the stabilizing controllers have been designed for performance-robustness.

[1]  Ian Postlethwaite,et al.  Multivariable Feedback Control: Analysis and Design , 1996 .

[2]  Petros A. Ioannou,et al.  Multiple Model Adaptive Control With Mixing , 2010, IEEE Transactions on Automatic Control.

[3]  Edoardo Mosca,et al.  Lyapunov-based switching supervisory control of nonlinear uncertain systems , 2002, IEEE Trans. Autom. Control..

[4]  J. Doyle,et al.  Essentials of Robust Control , 1997 .

[5]  Carlos Silvestre,et al.  Stability overlay for adaptive control laws applied to linear time-invariant systems , 2009, 2009 American Control Conference.

[6]  Michael Athans,et al.  ISSUES ON ROBUST ADAPTIVE FEEDBACK CONTROL , 2005 .

[7]  Jeff S. Shamma,et al.  Switching Supervisory Control Using Calibrated Forecasts , 2007, IEEE Transactions on Automatic Control.

[8]  C. Scherer,et al.  Lecture Notes DISC Course on Linear Matrix Inequalities in Control , 1999 .

[9]  A. Paul,et al.  Cost-detectability and Stability of Adaptive Control Systems , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[10]  Antonio M. Pascoal,et al.  Robust multiple model adaptive control (RMMAC): a case study , 2007 .

[11]  Michael G. Safonov,et al.  The unfalsified control concept and learning , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[12]  Carlos Silvestre,et al.  On the synthesis of robust multiple-model adaptive controllers (RMMAC) using BMI/LPV controllers , 2009, 2009 European Control Conference (ECC).

[13]  C. Silvestre,et al.  Evaluation of the RMMAC/XI method with time-varying parameters and disturbance statistics , 2007, 2007 Mediterranean Conference on Control & Automation.

[14]  Antonio M. Pascoal,et al.  Issues, progress and new results in robust adaptive control , 2006 .

[15]  C. Silvestre,et al.  Further evaluation of the RMMAC method with time-varying parameters , 2007, 2007 Mediterranean Conference on Control & Automation.

[16]  P. Ioannou,et al.  Practical robust adaptive control: Benchmark example , 2008, 2008 American Control Conference.

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