Existence of solution, pulse phenomena and stability criteria for state-dependent impulsive differential equations with saturation

Liangliang Li1,2, Chuandong Li1, Wei Zhang3
1Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China
2School of Mathematics and Statistics, Chongqing Three Gorges University, Chongqing, 404100, China
3Key Laboratory of Intelligent information Processing and Control of Chongqing Municipal, Institutions of Higher Education, Chongqing Three Gorges University, Chongqing 404100, China

Tài liệu tham khảo

Bainov, 1989 Lu, 2010, A unified synchronization criterion for impulsive dynamical networks, Automatica, 46, 1215, 10.1016/j.automatica.2010.04.005 Mahdavi, 2012, Pinning impulsive synchronization of complex dynamical networks, Int J Bifurc Chaos, 22, 1250239, 10.1142/S0218127412502392 Guan, 2005, On hybrid impulsive and switching systems and application to nonlinear control, IEEE Trans Autom Control, 50, 1058, 10.1109/TAC.2005.851462 Li, 2019, Exponential synchronizationlike criterion for state-dependent impulsive dynamical networks, IEEE Trans Neural Netw Learn Syst, 30, 1025, 10.1109/TNNLS.2018.2854826 Wu, 2008, Global synchronization criteria of linearly coupled neural network systems with time-varying coupling, IEEE Trans Neural Netw, 19, 319, 10.1109/TNN.2007.908639 Li, 2017, Stabilization of delay systems: delay-dependent impulsive control, IEEE Trans Autom Control, 62, 406, 10.1109/TAC.2016.2530041 Zhu, 2011, Exponential stability of impulsive nonlinear stochastic differential equations with mixed delays, Nonlinear Anal Real, 12, 2851, 10.1016/j.nonrwa.2011.04.011 Huang, 2009, Synchronization of delayed chaotic systems with parameter mismatches by using intermittent linear state feedback, Nonlinearity, 22, 569, 10.1088/0951-7715/22/3/004 Huang, 2012, Robust exponential stability of uncertain delayed neural networks with stochastic perturbation and impulse effects, IEEE Trans Neural Netw Learn Syst, 23, 866, 10.1109/TNNLS.2012.2192135 Sayli, 2015, Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays, Neural Netw, 68, 1, 10.1016/j.neunet.2015.04.004 Wang, 2019, Stability analysis for complex-valued stochastic delayed networks with Markovian switching and impulsive effects, Commun Nonlinear Sci Numer Simul, 73, 35, 10.1016/j.cnsns.2019.02.001 He, 2017, Pinning-controlled synchronization of delayed neural networks with distributed-delay coupling via impulsive control, Neural Netw, 85, 1, 10.1016/j.neunet.2016.09.002 Bao, 2015, Adaptive synchronization of fractional-order memristor-based neural networks with time delay, Nonlinear Dyn, 82, 1343, 10.1007/s11071-015-2242-7 Zhang, 2014, Synchronization of nonlinear dynamical networks with heterogeneous impulses, IEEE Trans Circuits Syst I, 61, 1220, 10.1109/TCSI.2013.2286027 Zhang, 2013, Exponential synchronization of coupled switched neural networks with mode-dependent impulsive effects, IEEE Trans Neural Netw Learn Syst, 24, 1316, 10.1109/TNNLS.2013.2257842 Zhang, 2009, Impulsive control of discrete systems with time delay, IEEE Trans Autom Control, 54, 830, 10.1109/TAC.2008.2010968 Bao, 2016, Exponential synchronization of coupled stochastic memristor-based neural networks with time-varying probabilistic delay coupling and impulsive delay, IEEE Trans Neural Netw Learn Syst, 27, 190, 10.1109/TNNLS.2015.2475737 Li, 2017, An impulsive delay inequality involving unbounded time-varying delay and applications, IEEE Trans Autom Control, 62, 3618, 10.1109/TAC.2017.2669580 Yang, 2017, Stability analysis for impulsive fractional hybrid systems via variational Lyapunov method, Commun Nonlinear Sci Numer Simul, 45, 140, 10.1016/j.cnsns.2016.09.009 Zhang, 2017, Global exponential stability of delay difference equations with delayed impulses, Math Comput Simul, 132, 183, 10.1016/j.matcom.2016.08.003 Song, 2017, Stability analysis of nonlinear fractional-order systems with variable-time impulses, J Frankl Inst, 354, 2959, 10.1016/j.jfranklin.2017.01.029 Li, 2017, Periodicity and stability for variable-time impulsive neural networks, Neural Netw, 94, 24, 10.1016/j.neunet.2017.06.006 Ji, 2015, A pest control model with state-dependent impulses, Inte J Biomath, 8, 111 Akhmet, 2010 Liu, 2006, Stability of nontrivial solution of delay differential equations with state-dependent impulses, Appl Math Comput, 174, 271 Li, 2017, Stability of nonlinear systems with variable-time impulses: B-equivalence method, Int J Control Autom, 15, 2072, 10.1007/s12555-016-0086-7 Gabor, 2015, Viable periodic solutions in state-dependent impulsive problems, Collect Math, 66, 351, 10.1007/s13348-015-0139-x Li, 2018, Fully state constraint impulsive control for non-autonomous delayed nonlinear dynamic systems, Nonlinear Anal, 29, 383 Li, 2018, An analysis and design for time-varying structures dynamical networks via state constraint impulsive control, Int J Control Ngo, 2005, Integrator backstepping using barrier functions for systems with multiple state constraints, 8306 Jankovic, 2018, Robust control barrier functions for constrained stabilization of nonlinear systems, Automatica, 96, 359, 10.1016/j.automatica.2018.07.004 Romdlony, 2016, Stabilization with guaranteed safety using control Lyapunov-barrier function, Automatica, 66, 39, 10.1016/j.automatica.2015.12.011 Cao, 2017, Vibration control for a rigid-flexible manipulator with full state constraints via barrier Lyapunov function, J Sound Vib, 406, 237, 10.1016/j.jsv.2017.05.050 Tee, 2011, Control of nonlinear systems with time-varying output constraints, Automatica, 47, 2511, 10.1016/j.automatica.2011.08.044 Tee, 2009, Barrier lyapunov functions for the control of output-constrained nonlinear systems, Automatica, 45, 918, 10.1016/j.automatica.2008.11.017 Liu, 2017, Barrier Lyapunov functions for nussbaum gain adaptive control of full state constrained nonlinear systems, Automatica, 76, 143, 10.1016/j.automatica.2016.10.011 Liu, 2018, Adaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints, Automatica, 87, 83, 10.1016/j.automatica.2017.07.028 Liu, 2016, Barrier Lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints, Automatica, 64, 70, 10.1016/j.automatica.2015.10.034 Homer, 2017, Constrained control lyapunov function-based control of nonlinear systems, Syst Control Lett, 110, 55, 10.1016/j.sysconle.2017.10.004 Lakshmikantham, 1989 Liu, 2007, Quasi-exponential input-to-state stability for discrete-time impulsive hybrid systems, Int J Control, 80, 540, 10.1080/00207170601161773