Robust Exponential Stability of Discrete-Time Delay Impulsive Systems with Parametric Uncertainties

This paper investigates robust exponential stability for discrete-time delay impulsive systems with parametric uncertainties. The parametric uncertainties in the systems are assumed to be time varying and norm bounded. Using Lyapunov functionals, some robust exponential stability criteria are given. It is shown that the time interval between the nearest two impulses should be small enough, i.e., impulses must act frequently, when the impulses are employed to stabilize the original impulse-free system that is not robustly stable. Conversely, when the original system without impulses is robustly stable, the time interval between the nearest two impulses should be large enough to let the system with impulsive perturbations retain its stability property. It should be noted that this is the first time that impulsive robust exponential stabilization results are given via Lyapunov functionals for discrete-time uncertain delay impulsive systems. Some examples, including an example which cannot be studied by the existing results, are also presented to illustrate the effectiveness of the obtained results.

[1]  Achim Kienle,et al.  Development and experimental investigation of an extended Kalman filter for a molten carbonate fuel cell system , 2006 .

[2]  Jinde Cao,et al.  Dynamical behaviors of discrete-time fuzzy cellular neural networks with variable delays and impulses , 2008, J. Frankl. Inst..

[3]  Yu Zhang,et al.  Impulsive Control of Discrete Systems With Time Delay , 2009, IEEE Transactions on Automatic Control.

[4]  K. Teo,et al.  Optimal control and robust stability of uncertain impulsive dynamical systems , 2008 .

[5]  Kok Lay Teo,et al.  Stabilizability of discrete chaotic systems via unified impulsive control , 2009 .

[6]  Xin-Ping Guan,et al.  Exponential stabilization controller design for interconnected time delay systems , 2008, Autom..

[7]  Yiguang Hong,et al.  Stabilization of impulsive hybrid systems using quantized input and output feedback , 2012 .

[8]  K. Gopalsamy,et al.  Exponential stability of continuous-time and discrete-time cellular neural networks with delays , 2003, Appl. Math. Comput..

[9]  Yun Zhang,et al.  Global mean-square exponential stabilization of stochastic system with time delay via impulsive control† , 2012 .

[10]  David J. Hill,et al.  Uniform stability of large-scale delay discrete impulsive systems , 2009, Int. J. Control.

[11]  David J. Hill,et al.  Uniform stability and ISS of discrete-time impulsive hybrid systems , 2010 .

[12]  Yingwei Zhang,et al.  Adaptive actuator fault compensation for linear systems with matching and unmatching uncertainties , 2009 .

[13]  Lei Chen,et al.  A critical review of the most popular types of neuro control , 2012 .