Contraction-based stabilisation of nonlinear singularly perturbed systems and application to high gain feedback

ABSTRACT Recent development of contraction theory-based analysis has opened the door for inspecting differential behaviour of singularly perturbed systems. In this paper, a contraction theory-based framework is proposed for stabilisation of singularly perturbed systems. The primary objective is to design a feedback controller to achieve bounded tracking error for both standard and non-standard singularly perturbed systems. This framework provides relaxation over traditional quadratic Lyapunov-based method as there is no need to satisfy interconnection conditions during controller design algorithm. Moreover, the stability bound does not depend on smallness of singularly perturbed parameter and robust to additive bounded uncertainties. Combined with high gain scaling, the proposed technique is shown to assure contraction of approximate feedback linearisable systems. These findings extend the class of nonlinear systems which can be made contracting.

[1]  Haoyong Yu,et al.  Dynamic surface control via singular perturbation analysis , 2015, Autom..

[2]  W. Lohmiller,et al.  Contraction analysis of non-linear distributed systems , 2005 .

[3]  Hassan K. Khalil,et al.  Regulation of nonlinear systems using conditional integrators , 2005 .

[4]  D. Naidu Singular Perturbation Methodology in Control Systems , 1988 .

[5]  J. Lottin,et al.  On the use of contraction theory for the design of nonlinear observers for ocean vehicles , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[6]  Domitilla Del Vecchio,et al.  A Contraction Theory Approach to Singularly Perturbed Systems , 2011, IEEE Transactions on Automatic Control.

[7]  I. Kar,et al.  Contraction theory-based recursive design of stabilising controller for a class of non-linear systems , 2010 .

[8]  Jean-Jacques E. Slotine,et al.  On partial contraction analysis for coupled nonlinear oscillators , 2004, Biological Cybernetics.

[9]  Ali Saberi,et al.  Quadratic-type Lyapunov functions for singularly perturbed systems , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[10]  Ian R. Manchester,et al.  An Amendment to "Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design" , 2017, ArXiv.

[11]  Pablo A. Parrilo,et al.  Stability and robustness analysis of nonlinear systems via contraction metrics and SOS programming , 2006, at - Automatisierungstechnik.

[12]  Jean-Jacques E. Slotine,et al.  On Contraction Analysis for Non-linear Systems , 1998, Autom..

[13]  H. Khalil,et al.  Output feedback stabilization of fully linearizable systems , 1992 .

[14]  Mario di Bernardo,et al.  A Contraction Approach to the Hierarchical Analysis and Design of Networked Systems , 2013, IEEE Transactions on Automatic Control.

[15]  Masayoshi Tomizuka,et al.  Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form , 1997, Autom..

[16]  J. Jouffroy A simple extension of contraction theory to study incremental stability properties , 2003, 2003 European Control Conference (ECC).

[17]  Paulo Tabuada,et al.  Backstepping Design for Incremental Stability , 2010, IEEE Transactions on Automatic Control.

[18]  Zahra Aminzarey,et al.  Contraction methods for nonlinear systems: A brief introduction and some open problems , 2014, 53rd IEEE Conference on Decision and Control.

[19]  J. C. Gerdes,et al.  Dynamic surface control of nonlinear systems , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[20]  Rodolphe Sepulchre,et al.  A Differential Lyapunov Framework for Contraction Analysis , 2012, IEEE Transactions on Automatic Control.

[21]  David Angeli,et al.  Further Results on Incremental Input-to-State Stability , 2009, IEEE Transactions on Automatic Control.

[22]  Hassan K. Khalil,et al.  High-gain observers in nonlinear feedback control , 2009, 2009 IEEE International Conference on Control and Automation.

[23]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[24]  Jean-Jacques E. Slotine,et al.  A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter , 2015, IEEE Transactions on Automatic Control.

[25]  Jean-Jacques E. Slotine,et al.  Control system design for mechanical systems using contraction theory , 2000, IEEE Trans. Autom. Control..

[26]  John Valasek,et al.  Nonlinear Time Scale Systems in Standard and Nonstandard Forms - Analysis and Control , 2014, Advances in design and control.

[27]  H. Khalil,et al.  Stabilization and regulation of nonlinear singularly perturbed systems--Composite control , 1985 .

[28]  Jean-Jacques E. Slotine,et al.  A contraction based, singular perturbation approach to near-decomposability in complex systems , 2015 .

[29]  Indra Narayan Kar,et al.  Design of Asymptotically Convergent Frequency Estimator Using Contraction Theory , 2008, IEEE Transactions on Automatic Control.

[30]  John Valasek,et al.  Tracking control design for non-standard nonlinear singularly perturbed systems , 2012, 2012 American Control Conference (ACC).

[31]  Jong-Tae Lim,et al.  Stabilization of Approximately Feedback Linearizable Systems Using Singular Perturbation , 2008, IEEE Transactions on Automatic Control.

[32]  Jean-Jacques E. Slotine,et al.  A Study of Synchronization and Group Cooperation Using Partial Contraction Theory , 2004 .

[33]  H. Khalil Feedback Control of Nonstandard Singularly Perturbed Systems , 1989, 1989 American Control Conference.

[34]  Eduardo Sontag Contractive Systems with Inputs , 2010 .

[35]  Jean-Jacques E. Slotine,et al.  Methodological remarks on contraction theory , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[36]  Winfried Stefan Lohmiller,et al.  Contraction analysis of nonlinear systems , 1999 .

[37]  David Angeli,et al.  A Lyapunov approach to incremental stability properties , 2002, IEEE Trans. Autom. Control..

[38]  Hassan K. Khalil,et al.  Singular perturbation methods in control : analysis and design , 1986 .

[39]  Jérôme Jouffryo,et al.  INTEGRATOR BACKSTEPPING USING CONTRACTION THEORY: A BRIEF METHODOLOGICAL NOTE. , 2002 .

[40]  I. N. Kar,et al.  Contraction based adaptive control of a class of nonlinear systems , 2009, 2009 American Control Conference.

[41]  J. Jouffroy Some ancestors of contraction analysis , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[42]  B.B. Sharma,et al.  Adaptive control of wing rock system in uncertain environment using contraction theory , 2008, 2008 American Control Conference.

[43]  P. Olver Nonlinear Systems , 2013 .

[44]  Indra Narayan Kar,et al.  Contraction based stabilization of approximate feedback linearizable systems , 2015, 2015 European Control Conference (ECC).