Further results on the construction of strict Lyapunov-Krasovskii functionals for time-varying time-delay systems

Abstract This paper is concerned with the construction of strict Lyapunov–Krasovskii functionals (LKFs) for analyzing the input-to-state stability (ISS) problem of nonlinear time-varying time-delay systems. With the help of a known non-strict LKF, a series of strict LKFs are constructed for both continuous and discrete time-varying time-delay systems. The proposed LKFs are linear functionals of the known non-strict LKF. Compared with previous results, the proposed strict LKFs are more general. Taking advantage of the concepts of uniformly exponentially stable (UES) and uniformly exponentially expanding (UEE), the assumption of boundedness on the scalar function is not required. The effectiveness of the proposed theoretical results is illustrated by a couple of numerical examples.

[1]  Maria Domenica Di Benedetto,et al.  On Lyapunov–Krasovskii Characterizations of Stability Notions for Discrete-Time Systems With Uncertain Time-Varying Time Delays , 2018, IEEE Transactions on Automatic Control.

[2]  Bin Zhou,et al.  Improved Razumikhin and Krasovskii approaches for discrete-time time-varying time-delay systems , 2018, at - Automatisierungstechnik.

[3]  Emilia Fridman,et al.  On complete Lyapunov–Krasovskii functional techniques for uncertain systems with fast‐varying delays , 2008 .

[4]  Kolmanovskii,et al.  Introduction to the Theory and Applications of Functional Differential Equations , 1999 .

[5]  W. Rugh Linear System Theory , 1992 .

[6]  Rogelio Lozano,et al.  Stability conditions for integral delay systems , 2010 .

[7]  Pierdomenico Pepe The Problem of the Absolute Continuity for Liapunov-Krasovskii Functionals , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[8]  D. Aeyels,et al.  A new asymptotic stability criterion for nonlinear time-variant differential equations , 1998, IEEE Trans. Autom. Control..

[9]  Jinde Cao,et al.  Robust finite-time stability of singular nonlinear systems with interval time-varying delay , 2018, J. Frankl. Inst..

[10]  Miroslav Krstic,et al.  Lyapunov-Krasovskii functionals and application to input delay compensation for linear time-invariant systems , 2012, Autom..

[11]  Frédéric Mazenc,et al.  Strict Lyapunov functions for time-varying systems , 2003, Autom..

[12]  Ju H. Park,et al.  Improved stability conditions of time-varying delay systems based on new Lyapunov functionals , 2018, J. Frankl. Inst..

[13]  Ju H. Park,et al.  Stochastic stability analysis for discrete-time singular Markov jump systems with time-varying delay and piecewise-constant transition probabilities , 2012, J. Frankl. Inst..

[14]  Bin Zhou,et al.  Construction of strict Lyapunov-Krasovskii functionals for time-varying time-delay systems , 2019, Autom..

[15]  M. Malisoff,et al.  Constructions of Strict Lyapunov Functions , 2009 .

[16]  Da-Ke Gu,et al.  Parametric control to second-order linear time-varying systems based on dynamic compensator and multi-objective optimization , 2020, Appl. Math. Comput..

[17]  Qing-Long Han,et al.  Abel lemma-based finite-sum inequality and its application to stability analysis for linear discrete time-delay systems , 2015, Autom..

[18]  Emilia Fridman,et al.  Robust sampled-data stabilization of linear systems: an input delay approach , 2004, Autom..

[19]  Jitao Sun,et al.  p-Moment stability of stochastic differential equations with impulsive jump and Markovian switching , 2006, Autom..

[20]  R. E. Kalman,et al.  Control System Analysis and Design Via the “Second Method” of Lyapunov: I—Continuous-Time Systems , 1960 .

[21]  Weihai Zhang,et al.  State feedback control for stochastic Markovian jump delay systems based on LaSalle-type theorem , 2018, J. Frankl. Inst..

[22]  Hieu Minh Trinh,et al.  Stability analysis of a general family of nonlinear positive discrete time-delay systems , 2016, Int. J. Control.

[23]  Antonio Loría,et al.  On the estimation of the consensus rate of convergence in graphs with persistent interconnections , 2018, Int. J. Control.

[24]  Shengyuan Xu,et al.  Stability analysis of continuous-time systems with time-varying delay using new Lyapunov-Krasovskii functionals , 2018, J. Frankl. Inst..

[25]  Shengyuan Xu,et al.  On global asymptotic stability for a class of delayed neural networks , 2012, Int. J. Circuit Theory Appl..

[26]  Frédéric Mazenc,et al.  Partial Lyapunov Strictification: Smooth Angular Velocity Observers for Attitude Tracking Control , 2015 .

[27]  Chaohong Cai,et al.  Smooth Lyapunov Functions for Hybrid Systems—Part I: Existence Is Equivalent to Robustness , 2007, IEEE Transactions on Automatic Control.

[28]  David Angeli,et al.  A characterization of integral input-to-state stability , 2000, IEEE Trans. Autom. Control..

[29]  Michael Malisoff,et al.  Extensions of Razumikhin's theorem and Lyapunov-Krasovskii functional constructions for time-varying systems with delay , 2017, Autom..

[30]  V. Kharitonov Time-Delay Systems: Lyapunov Functionals and Matrices , 2012 .

[31]  Bin Zhou,et al.  Razumikhin and Krasovskii stability theorems for time-varying time-delay systems , 2016, Autom..

[32]  Chenghui Zhang,et al.  Output feedback control of large-scale nonlinear time-delay systems in lower triangular form , 2013, Autom..

[33]  Antonio Loría,et al.  Strict Lyapunov functions for time-varying systems with persistency of excitation , 2017, Autom..

[34]  James Lam,et al.  On construction of Lyapunov functions for scalar linear time-varying systems , 2020, Syst. Control. Lett..

[35]  J. Farison,et al.  Robust stability bounds on time-varying perturbations for state-space models of linear discrete-time systems , 1989 .

[36]  Zhong-Ping Jiang,et al.  Input-to-state stability for discrete-time nonlinear systems , 1999 .

[37]  J. Hale Functional Differential Equations , 1971 .

[38]  Emmanuel Trélat,et al.  Global Steady-State Controllability of One-Dimensional Semilinear Heat Equations , 2004, SIAM J. Control. Optim..

[39]  Antonio Loría,et al.  Lyapunov Functions for Persistently-Excited Cascaded Time-Varying Systems: Application to Consensus , 2017, IEEE Transactions on Automatic Control.