Stability analysis of generalized neural networks with fast-varying delay via a relaxed negative-determination quadratic function method
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[1] PooGyeon Park,et al. Auxiliary function-based integral inequalities for quadratic functions and their applications to time-delay systems , 2015, J. Frankl. Inst..
[2] Hak-Keung Lam,et al. Fuzzy Adaptive Event-Triggered Sampled-Data Control for Stabilization of T–S Fuzzy Memristive Neural Networks With Reaction–Diffusion Terms , 2021, IEEE Transactions on Fuzzy Systems.
[3] Jian-an Wang,et al. Less conservative stability criteria for neural networks with interval time-varying delay based on delay-partitioning approach , 2015, Neurocomputing.
[4] Min Wu,et al. An extended reciprocally convex matrix inequality for stability analysis of systems with time-varying delay , 2017, Autom..
[5] Kun Liu,et al. Generalized reciprocally convex combination lemmas and its application to time-delay systems , 2018, Autom..
[6] Qing-Guo Wang,et al. Stability Analysis of Discrete-Time Neural Networks With Time-Varying Delay via an Extended Reciprocally Convex Matrix Inequality , 2017, IEEE Transactions on Cybernetics.
[7] Kok Lay Teo,et al. A new looped-functional for stability analysis of sampled-data systems , 2017, Autom..
[8] Jinde Cao,et al. Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals , 2017, Neural Networks.
[9] Jie Zhou,et al. State estimation for neural networks with two additive time-varying delay components using delay-product-type augmented Lyapunov-Krasovskii functionals , 2019, Neurocomputing.
[10] Min Wu,et al. Delay-dependent stability analysis of neural networks with time-varying delay: A generalized free-weighting-matrix approach , 2017, Appl. Math. Comput..
[11] Xin-Ping Guan,et al. New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay Using Delay-Decomposition Approach , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[12] Jian Sun,et al. New delay-dependent stability criteria for neural networks with time-varying interval delay ✩ , 2010 .
[13] Derong Liu,et al. Relaxed Stability Criteria for Neural Networks With Time-Varying Delay Using Extended Secondary Delay Partitioning and Equivalent Reciprocal Convex Combination Techniques , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[14] Zhanshan Wang,et al. A new multiple integral inequality and its application to stability analysis of time-delay systems , 2020, Appl. Math. Lett..
[15] Yong He,et al. Global exponential stability of neural networks with time-varying delay based on free-matrix-based integral inequality , 2016, Neural Networks.
[16] Ju H. Park,et al. A novel Lyapunov functional for stability of time-varying delay systems via matrix-refined-function , 2017, Autom..
[17] Shengyuan Xu,et al. Estimating stable delay intervals with a discretized Lyapunov-Krasovskii functional formulation , 2014, Autom..
[18] Yong He,et al. Notes on Stability of Time-Delay Systems: Bounding Inequalities and Augmented Lyapunov-Krasovskii Functionals , 2017, IEEE Transactions on Automatic Control.
[19] Georgi M. Dimirovski,et al. New delay-dependent stability criteria for recurrent neural networks with time-varying delays , 2008, Neurocomputing.
[20] Shengyuan Xu,et al. Novel Summation Inequalities and Their Applications to Stability Analysis for Systems With Time-Varying Delay , 2017, IEEE Transactions on Automatic Control.
[21] Jun Cheng,et al. Finite-time H∞ fuzzy control of nonlinear Markovian jump delayed systems with partly uncertain transition descriptions , 2017, Fuzzy Sets Syst..
[22] Xu Li,et al. A novel method for stability analysis of time-varying delay systems , 2020 .
[23] Rui Zhang,et al. An extended reciprocally convex matrix inequality and its application to stability analysis of systems with additive time-varying delays , 2020, J. Frankl. Inst..
[24] Ju H. Park,et al. Stability Analysis of Neural Networks With Time-Varying Delay by Constructing Novel Lyapunov Functionals , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[25] Zhigang Zeng,et al. Hierarchical Type Stability Criteria for Delayed Neural Networks via Canonical Bessel–Legendre Inequalities , 2018, IEEE Transactions on Cybernetics.
[26] Ju H. Park,et al. A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays , 2013, Neurocomputing.
[27] Min Wu,et al. A relaxed quadratic function negative-determination lemma and its application to time-delay systems , 2020, Autom..
[28] Yong He,et al. Delay-dependent criteria for robust stability of time-varying delay systems , 2004, Autom..
[29] Zhigang Zeng,et al. General memristor with applications in multilayer neural networks , 2018, Neural Networks.
[30] Hanyong Shao,et al. Further improved stability results for generalized neural networks with time-varying delays , 2019, Neurocomputing.
[31] Q. Han,et al. New stability criterion using a matrix-based quadratic convex approach and some novel integral inequalities , 2014 .
[32] Min Wu,et al. Further results on exponential stability of neural networks with time-varying delay , 2015, Appl. Math. Comput..
[33] Madan M. Gupta,et al. Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory , 2003 .
[34] Min Wu,et al. Stability analysis of systems with time-varying delay via novel augmented Lyapunov-Krasovskii functionals and an improved integral inequality , 2019, Appl. Math. Comput..
[35] Huaguang Zhang,et al. A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[36] Alexandre Seuret,et al. Stability of Linear Systems With Time-Varying Delays Using Bessel–Legendre Inequalities , 2018, IEEE Transactions on Automatic Control.
[37] Jin-Hoon Kim,et al. Further improvement of Jensen inequality and application to stability of time-delayed systems , 2016, Autom..
[38] Hamid Reza Karimi,et al. Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[39] Yong He,et al. Delay-Variation-Dependent Stability of Delayed Discrete-Time Systems , 2016, IEEE Transactions on Automatic Control.
[40] Xuejun Pan,et al. Further Stability Analysis of Generalized Neural Networks With Time-Varying Delays Based on a Novel Lyapunov-Krasovskii Functional , 2019, IEEE Access.
[41] Won Il Lee,et al. Polynomials-based integral inequality for stability analysis of linear systems with time-varying delays , 2017, J. Frankl. Inst..
[42] Ju H. Park,et al. New approaches on stability criteria for neural networks with interval time-varying delays , 2012, Appl. Math. Comput..
[43] Changyin Sun,et al. Improved delay-dependent stability criteria for neural networks with time-varying delay , 2008, 2008 7th World Congress on Intelligent Control and Automation.
[44] Bao-Lin Zhang,et al. Reducing conservatism of stability criteria for linear systems with time-varying delay using an improved triple-integral inequality , 2020, Appl. Math. Comput..
[45] Shengyuan Xu,et al. Single/Multiple Integral Inequalities With Applications to Stability Analysis of Time-Delay Systems , 2017, IEEE Transactions on Automatic Control.
[46] Shouming Zhong,et al. Quantized Sampled-Data Control for Synchronization of Inertial Neural Networks With Heterogeneous Time-Varying Delays , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[47] Shengyuan Xu,et al. Stability Analysis for Neural Networks With Time-Varying Delay via Improved Techniques , 2019, IEEE Transactions on Cybernetics.
[48] S. M. Lee,et al. Augmented zero equality approach to stability for linear systems with time-varying delay , 2020, Appl. Math. Comput..
[49] Emilia Fridman,et al. Introduction to Time-Delay Systems: Analysis and Control , 2014 .
[50] Shengyuan Xu,et al. Stability Analysis for Delayed Neural Networks With an Improved General Free-Matrix-Based Integral Inequality , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[51] Huaicheng Yan,et al. Stability Analysis for Delayed Neural Networks via Improved Auxiliary Polynomial-Based Functions , 2019, IEEE Transactions on Neural Networks and Learning Systems.