Global stabilisation of nonlinear delay systems with a compact absorbing set

Predictor-based stabilisation results are provided for nonlinear systems with input delays and a compact absorbing set. The control scheme consists of an inter-sample predictor, a global observer, an approximate predictor, and a nominal controller for the delay-free case. The control scheme is applicable even to the case where the measurement is sampled and possibly delayed. The input and measurement delays can be arbitrarily large but both of them must be constant and accurately known. The closed-loop system is shown to have the properties of global asymptotic stability and exponential convergence in the disturbance-free case, robustness with respect to perturbations of the sampling schedule, and robustness with respect to measurement errors. In contrast to existing predictor feedback laws, the proposed control scheme utilises an approximate predictor of a dynamic type that is expressed by a system described by integral delay equations. Additional results are provided for systems that can be transformed to systems with a compact absorbing set by means of a preliminary predictor feedback.

[1]  Alfredo Germani,et al.  A new approach to state observation of nonlinear systems with delayed output , 2002, IEEE Trans. Autom. Control..

[2]  Miroslav Krstic,et al.  Input Delay Compensation for Forward Complete and Strict-Feedforward Nonlinear Systems , 2010, IEEE Transactions on Automatic Control.

[3]  R. Temam Infinite Dimensional Dynamical Systems in Mechanics and Physics Springer Verlag , 1993 .

[4]  Iasson Karafyllis,et al.  Numerical schemes for nonlinear predictor feedback , 2014, Math. Control. Signals Syst..

[5]  Zongli Lin,et al.  On Input-to-State Stability for Nonlinear Systems with Delayed Feedbacks , 2007, 2007 American Control Conference.

[6]  Iasson Karafyllis,et al.  Global exponential sampled-data observers for nonlinear systems with delayed measurements , 2012, Syst. Control. Lett..

[7]  P. Olver Nonlinear Systems , 2013 .

[8]  Eduardo Sontag,et al.  Forward Completeness, Unboundedness Observability, and their Lyapunov Characterizations , 1999 .

[9]  Iasson Karafyllis,et al.  Nonlinear Stabilization Under Sampled and Delayed Measurements, and With Inputs Subject to Delay and Zero-Order Hold , 2012, IEEE Transactions on Automatic Control.

[10]  I. Karafyllis Stabilization by Means of Approximate Predictors for Systems with Delayed Input , 2009, SIAM J. Control. Optim..

[11]  Iasson Karafyllis,et al.  Predictor-Based Output Feedback for Nonlinear Delay Systems , 2011, ArXiv.

[12]  Iasson Karafyllis,et al.  Stabilization of nonlinear delay systems using approximate predictors and high-gain observers , 2013, Autom..

[13]  Miroslav Krstic,et al.  Robustness of nonlinear predictor feedback laws to time- and state-dependent delay perturbations , 2012, Autom..

[14]  Sabine Mondié,et al.  Global asymptotic stabilization of feedforward systems with delay in the input , 2004, IEEE Transactions on Automatic Control.

[15]  Iasson Karafyllis,et al.  On the Relation of Delay Equations to First-Order Hyperbolic Partial Differential Equations , 2013, ArXiv.

[16]  Nikolaos Bekiaris-Liberis,et al.  Compensation of state-dependent input delay for nonlinear systems , 2011, IEEE Conference on Decision and Control and European Control Conference.

[17]  Miroslav Krstic,et al.  Compensation of Time-Varying Input and State Delays for Nonlinear Systems , 2012 .

[18]  Iasson Karafyllis,et al.  Stability and Stabilization of Nonlinear Systems , 2011 .

[19]  Miroslav Krstic,et al.  Lyapunov tools for predictor feedbacks for delay systems: Inverse optimality and robustness to delay mismatch , 2008, 2008 American Control Conference.

[20]  Miroslav Krstic,et al.  Feedback linearizability and explicit integrator forwarding controllers for classes of feedforward systems , 2004, IEEE Transactions on Automatic Control.

[21]  M. Krstić Delay Compensation for Nonlinear, Adaptive, and PDE Systems , 2009 .

[22]  A. Bountis Dynamical Systems And Numerical Analysis , 1997, IEEE Computational Science and Engineering.

[23]  H. Redkey,et al.  A new approach. , 1967, Rehabilitation record.