Synchronization of Heterogeneous Partially Coupled Networks with Heterogeneous Impulses

This paper discusses quasi-synchronization problem in an array of heterogeneous partially coupled dynamical networks. At first, based on the Lyapunov stability theorem and the comparison principle, sufficient quasi-synchronization criteria are presented such that the proposed heterogeneous partially coupled dynamical networks with heterogeneous impulses can be synchronized within a nonzero error bound. Then, by taking a specific matrix function, we obtain some lower-dimensional inequalities, which are easy to be verified. Moreover, we propose the design method of controllers under a given error bound and study the optimization problem for the error bound. Finally, a numerical example is provided to illustrate the efficiency of the obtained results.

[1]  James Lam,et al.  Quasi-synchronization of heterogeneous dynamic networks via distributed impulsive control: Error estimation, optimization and design , 2015, Autom..

[2]  Jinde Cao,et al.  Synchronization in an Array of Output-Coupled Boolean Networks With Time Delay , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[3]  Daoyi Xu,et al.  Stability Analysis of Delay Neural Networks With Impulsive Effects , 2005, IEEE Trans. Circuits Syst. II Express Briefs.

[4]  Daniel W. C. Ho,et al.  Globally Exponential Synchronization and Synchronizability for General Dynamical Networks , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[5]  Bo Du,et al.  Existence and Global Exponential Stability of Periodic Solution for a Class of Neutral-Type Neural Networks with Time Delays , 2017, Neural Processing Letters.

[6]  Guo-Ping Liu,et al.  Global Bounded Consensus of Multiagent Systems With Nonidentical Nodes and Time Delays , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[7]  Chuandong Li,et al.  Finite-Time Stability of Neural Networks with Impulse Effects and Time-Varying Delay , 2017, Neural Processing Letters.

[8]  Xinzhi Liu Stability results for impulsive differential systems with applications to population growth models , 1994 .

[9]  Xin Wang,et al.  Impulsive exponential synchronization of randomly coupled neural networks with Markovian jumping and mixed model-dependent time delays , 2014, Neural Networks.

[10]  Xiaodi Li,et al.  Stability of nonlinear differential systems with state-dependent delayed impulses , 2016, Autom..

[11]  Xiaoli Zhang,et al.  Effect of delayed impulses on input-to-state stability of nonlinear systems , 2017, Autom..

[12]  Jinde Cao,et al.  A unified synchronization criterion for impulsive dynamical networks , 2010, Autom..

[13]  Wei Xing Zheng,et al.  Impulsive Stabilization and Impulsive Synchronization of Discrete-Time Delayed Neural Networks , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[14]  Daniel W. C. Ho,et al.  A Unified Approach to Practical Consensus with Quantized Data and Time Delay , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

[15]  Jinde Cao,et al.  Pinning-controlled synchronization of delayed neural networks with distributed-delay coupling via impulsive control , 2017, Neural Networks.

[16]  Jinde Cao,et al.  Pinning cluster synchronization in an array of coupled neural networks under event-based mechanism , 2016, Neural Networks.

[17]  Yang Tang,et al.  Synchronization of Nonlinear Dynamical Networks With Heterogeneous Impulses , 2014, IEEE Transactions on Circuits and Systems I: Regular Papers.

[18]  Jun Zhao,et al.  Global synchronization of complex dynamical networks with non-identical nodes , 2008, 2008 47th IEEE Conference on Decision and Control.

[19]  Xinsong Yang,et al.  Finite-Time Synchronization of Coupled Networks With Markovian Topology and Impulsive Effects , 2016, IEEE Transactions on Automatic Control.

[20]  Xinghuo Yu,et al.  Flocking of Multi-Agent Non-Holonomic Systems With Proximity Graphs , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

[21]  Jinde Cao,et al.  Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[22]  D. Ho,et al.  Stabilization of complex dynamical networks with noise disturbance under performance constraint , 2011 .

[23]  Gang Feng,et al.  Synchronization of Complex Dynamical Networks With Time-Varying Delays Via Impulsive Distributed Control , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[24]  Yang Liu,et al.  A New Fuzzy Impulsive Control of Chaotic Systems Based on T–S Fuzzy Model , 2011, IEEE Transactions on Fuzzy Systems.

[25]  Daniel W. C. Ho,et al.  Event-based network consensus with communication delays , 2016, Nonlinear Dynamics.

[26]  Jinde Cao,et al.  Pth Moment Exponential Stochastic Synchronization of Coupled Memristor-based Neural Networks with Mixed Delays via Delayed Impulsive Control , 2015, Neural Networks.

[27]  Xinsong Yang,et al.  Exponential synchronization of discontinuous chaotic systems via delayed impulsive control and its application to secure communication , 2014, Commun. Nonlinear Sci. Numer. Simul..

[28]  Jinde Cao,et al.  Discontinuous Observers Design for Finite-Time Consensus of Multiagent Systems With External Disturbances , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[29]  Peng Shi,et al.  Sampled-Data Exponential Synchronization of Complex Dynamical Networks With Time-Varying Coupling Delay , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[30]  Peng Shi,et al.  Finite-Time Distributed State Estimation Over Sensor Networks With Round-Robin Protocol and Fading Channels , 2018, IEEE Transactions on Cybernetics.

[31]  Yassine Bouteraa,et al.  Synchronization control of multiple robots manipulators , 2009, 2009 6th International Multi-Conference on Systems, Signals and Devices.

[32]  Feng Qian,et al.  Synchronization of heterogeneous dynamical networks via distributed impulsive control , 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

[33]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[34]  Jinde Cao,et al.  Outer synchronization of partially coupled dynamical networks via pinning impulsive controllers , 2015, J. Frankl. Inst..

[35]  Jinde Cao,et al.  Pinning impulsive stabilization of nonlinear Dynamical Networks with Time-Varying Delay , 2012, Int. J. Bifurc. Chaos.

[36]  Jinde Cao,et al.  Nonsmooth Finite-Time Synchronization of Switched Coupled Neural Networks , 2016, IEEE Transactions on Cybernetics.

[37]  Zengrong Liu,et al.  Robust impulsive synchronization of complex delayed dynamical networks , 2008 .

[38]  Jitao Sun,et al.  Asymptotic stability of differential systems with impulsive effects suffered by logic choice , 2015, Autom..

[39]  Guanrong Chen,et al.  Fuzzy impulsive control of chaotic systems based on TS fuzzy model , 2009 .

[40]  Xiao Fan Wang,et al.  Complex Networks: Topology, Dynamics and Synchronization , 2002, Int. J. Bifurc. Chaos.

[41]  Peng Shi,et al.  Robust Estimation for Neural Networks With Randomly Occurring Distributed Delays and Markovian Jump Coupling , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[42]  Yang Liu,et al.  Feedback Controller Design for the Synchronization of Boolean Control Networks , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[43]  Daniel W. C. Ho,et al.  Pinning Synchronization in T–S Fuzzy Complex Networks With Partial and Discrete-Time Couplings , 2015, IEEE Transactions on Fuzzy Systems.

[44]  Renquan Lu,et al.  Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[45]  Andrew R. Dalby,et al.  Constructing an enzyme-centric view of metabolism , 2004, Bioinform..

[46]  Jinde Cao,et al.  Exponential Synchronization of Hybrid Coupled Networks With Delayed Coupling , 2010, IEEE Transactions on Neural Networks.

[47]  Reka Albert,et al.  Mean-field theory for scale-free random networks , 1999 .

[48]  Jürgen Kurths,et al.  Consensus over directed static networks with arbitrary finite communication delays. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[49]  Ligang Wu,et al.  Exponential stabilization of switched stochastic dynamical networks , 2009 .

[50]  Yuanyuan Li,et al.  Impulsive Synchronization of Stochastic Neural Networks via Controlling Partial States , 2017, Neural Processing Letters.

[51]  Daniel W. C. Ho,et al.  Pinning Stabilization of Linearly Coupled Stochastic Neural Networks via Minimum Number of Controllers , 2009, IEEE Transactions on Neural Networks.

[52]  Jinde Cao,et al.  On Pinning Controllability of Boolean Control Networks , 2016, IEEE Transactions on Automatic Control.

[53]  Xiaodi Li,et al.  Stabilization of Delay Systems: Delay-Dependent Impulsive Control , 2017, IEEE Transactions on Automatic Control.