Controllability of impulsive singularly perturbed systems and its application to a class of multiplex networks

Abstract This paper is concerned with the controllability problem of impulsive singularly perturbed systems (ISPSs). A new analytical approach is developed by integrating the merits of the fast–slow decomposition, Chang transformation and Gram-like matrix, and then some e -independent necessary and sufficient controllable conditions are obtained. In addition, the upper bound of e is given when deriving the sufficient controllable conditions. Moreover, a new type of heterogeneous multiplex multi-time-scale networks is introduced and can be further modeled by ISPSs. Based on matrix theory and graph theory, some intuitive and easy-to-test criteria are deduced for the controllability of the proposed networks. It is shown that the network topology, the nodal dynamics, the leader selection, and the inner-coupling interconnection are important controllable factors. Several numerical examples are presented to show the effectiveness of the proposed results.

[1]  王振全,et al.  D-CONTROLLABILITY AND CONTROL OF MULTIPARAMETER AND MULTIPLE TIME-SCALE SINGULARLY PERTURBED SYSTEMS , 1989 .

[2]  V. Lakshmikantham,et al.  Theory of Impulsive Differential Equations , 1989, Series in Modern Applied Mathematics.

[3]  Mohammad Javad Yazdanpanah,et al.  Modeling and Control of Linear Two-time Scale Systems: Applied to Single-Link Flexible Manipulator , 2006, J. Intell. Robotic Syst..

[4]  Xing-yuan Wang,et al.  Dynamic analysis of the fractional-order Liu system and its synchronization. , 2007, Chaos.

[5]  Albert-László Barabási,et al.  Controllability of multiplex, multi-time-scale networks. , 2016, Physical review. E.

[6]  Dimitrios Tsiotas,et al.  Decomposing multilayer transportation networks using complex network analysis: a case study for the Greek aviation network , 2015, J. Complex Networks.

[7]  Guangming Xie,et al.  Controllability and observability of a class of linear impulsive systems , 2005 .

[8]  Xinghuo Yu,et al.  Controllability and observability of linear time-varying impulsive systems , 2002 .

[9]  Xing-yuan Wang,et al.  Projective synchronization of fractional order chaotic system based on linear separation , 2008 .

[10]  Xinghuo Yu,et al.  On controllability and observability for a class of impulsive systems , 2002, Syst. Control. Lett..

[11]  Valery Y. Glizer Controllability of nonstandard singularly perturbed systems with small state delay , 2003, IEEE Trans. Autom. Control..

[12]  P. Sannuti On the controllability of singularly perturbed systems , 1977 .

[13]  Da Lin,et al.  Observer-based decentralized fuzzy neural sliding mode control for interconnected unknown chaotic systems via network structure adaptation , 2010, Fuzzy Sets Syst..

[14]  Hao Zhang,et al.  Topology Identification and Module–Phase Synchronization of Neural Network With Time Delay , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[15]  Xing-yuan Wang,et al.  Synchronization of the fractional order hyperchaos Lorenz systems with activation feedback control , 2009 .

[16]  Valery Y. Glizer Euclidean space controllability of singularly perturbed linear systems with state delay , 2001, Syst. Control. Lett..

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

[18]  Bing-Hong Wang,et al.  Effect of degree correlation on exact controllability of multiplex networks , 2015 .

[19]  Mohamad S. Alwan,et al.  Stability of singularly perturbed switched systems with time delay and impulsive effects , 2009 .

[20]  Mehran Mesbahi,et al.  Controllability and Observability of Network-of-Networks via Cartesian Products , 2014, IEEE Transactions on Automatic Control.

[21]  Huaguang Zhang,et al.  Networked Synchronization Control of Coupled Dynamic Networks With Time-Varying Delay , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[22]  P. Kokotovic,et al.  Controllability and time-optimal control of systems with slow and fast modes , 1974, CDC 1974.

[23]  Akbar Zaheer,et al.  Time Scales and Organizational Theory , 1999 .

[24]  H.G. Tanner,et al.  On the controllability of nearest neighbor interconnections , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[25]  Lin Wang,et al.  Controllability of networked MIMO systems , 2015, Autom..

[26]  Yanzhi Wang,et al.  Synchronization of the Fractional Order Finance Systems with Activation Feedback Control , 2011, AICI.

[27]  Jitao Sun,et al.  Controllability and observability for a class of time-varying impulsive systems☆ , 2009 .

[28]  D. Bainov,et al.  Exponential stability of the solutions of the initial-value problem for systems with impulse effect , 1988 .

[29]  Tao Yang,et al.  In: Impulsive control theory , 2001 .

[30]  Wei Xing Zheng,et al.  Robust Stability of Singularly Perturbed Impulsive Systems Under Nonlinear Perturbation , 2013, IEEE Transactions on Automatic Control.

[31]  Hans G Othmer,et al.  A multi-time-scale analysis of chemical reaction networks: II. Stochastic systems , 2015, Journal of Mathematical Biology.

[32]  Luís F. C. Alberto,et al.  On the Foundations of Stability Analysis of Power Systems in Time Scales , 2015, IEEE Transactions on Circuits and Systems I: Regular Papers.

[33]  P. Sannuti On the controllability of some singularly perturbed nonlinear systems , 1978 .

[34]  Valery Y. Glizer Controllability conditions of linear singularly perturbed systems with small state and input delays , 2016, Math. Control. Signals Syst..

[35]  Anke Meyer-Bäse,et al.  Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales , 1996, Neural Computation.

[36]  Wu-Hua Chen,et al.  Exponential stability of a class of singularly perturbed stochastic time-delay systems with impulse effect , 2010 .

[37]  Enrique A. Medina,et al.  Reachability and observability of linear impulsive systems , 2008, Autom..

[38]  Tong Zhou,et al.  On the controllability and observability of networked dynamic systems , 2014, Autom..