Finite-time extended dissipativity of delayed Takagi–Sugeno fuzzy neural networks using a free-matrix-based double integral inequality

[1]  M. Ali,et al.  Finite-Time Non-fragile Dissipative Stabilization of Delayed Neural Networks , 2019, Neural Processing Letters.

[2]  Yong He,et al.  Delay-dependent state estimation for neural networks with time-varying delay , 2018, Neurocomputing.

[3]  Xiaodi Li,et al.  Delay-dependent dissipativity of neural networks with mixed non-differentiable interval delays , 2017, Neurocomputing.

[4]  Yongduan Song,et al.  New results on stability analysis of delayed systems derived from extended wirtinger's integral inequality , 2017, Neurocomputing.

[5]  Jie Liu,et al.  Delay-dependent attractor analysis of Hopfield neural networks with time-varying delays , 2017 .

[6]  Wenhai Qi,et al.  Finite-time dissipativity analysis and design for stochastic Markovian jump systems with generally uncertain transition rates and time-varying delay , 2017 .

[7]  Jun Cheng,et al.  Finite-time H∞ fuzzy control of nonlinear Markovian jump delayed systems with partly uncertain transition descriptions , 2017, Fuzzy Sets Syst..

[8]  Xin-Ping Guan,et al.  Stability analysis of time-delay systems via free-matrix-based double integral inequality , 2017, Int. J. Syst. Sci..

[9]  M. Syed Ali,et al.  Finite-time H∞ state estimation for switched neural networks with time-varying delays , 2016, Neurocomputing.

[10]  Shouming Zhong,et al.  Extended dissipative state estimation for memristive neural networks with time-varying delay. , 2016, ISA transactions.

[11]  Yan Shi,et al.  Finite-time filtering for T-S fuzzy jump neural networks with sector-bounded activation functions , 2016, Neurocomputing.

[12]  Min Wu,et al.  Dissipativity analysis of neural networks with time-varying delays , 2015, Neurocomputing.

[13]  Quanxin Zhu,et al.  Mean square exponential stability of stochastic fuzzy delayed Cohen-Grossberg neural networks with expectations in the coefficients , 2015, Neurocomputing.

[14]  Yingnan Pan,et al.  New dissipativity condition of stochastic fuzzy neural networks with discrete and distributed time-varying delays , 2015, Neurocomputing.

[15]  Jianjun Bai,et al.  Finite-time stability analysis of discrete-time fuzzy Hopfield neural network , 2015, Neurocomputing.

[16]  Min Wu,et al.  Free-Matrix-Based Integral Inequality for Stability Analysis of Systems With Time-Varying Delay , 2015, IEEE Transactions on Automatic Control.

[17]  Huaguang Zhang,et al.  Stability Criteria for Recurrent Neural Networks With Time-Varying Delay Based on Secondary Delay Partitioning Method , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[18]  Hamid Reza Karimi,et al.  Finite-time boundedness for uncertain discrete neural networks with time-delays and Markovian jumps , 2014, Neurocomputing.

[19]  PooGyeon Park,et al.  Improved criteria on robust stability and H∞ performance for linear systems with interval time-varying delays via new triple integral functionals , 2014, Appl. Math. Comput..

[20]  Qiongfen Yang,et al.  New delay dependent stability criteria for recurrent neural networks with interval time-varying delay. , 2014, ISA transactions.

[21]  A. Arunkumar,et al.  Robust stochastic stability of discrete-time fuzzy Markovian jump neural networks. , 2014, ISA transactions.

[22]  Ju H. Park,et al.  Extended Dissipative Analysis for Neural Networks With Time-Varying Delays , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[23]  Tae H. Lee,et al.  Stochastic sampled-data control for state estimation of time-varying delayed neural networks , 2013, Neural Networks.

[24]  Q. Han,et al.  Novel delay‐derivative‐dependent stability criteria using new bounding techniques , 2013 .

[25]  Shengyuan Xu,et al.  Filtering of Markovian Jump Delay Systems Based on a New Performance Index , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

[26]  Chuandong Li,et al.  Robust Exponential Stability of Uncertain Delayed Neural Networks With Stochastic Perturbation and Impulse Effects , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[27]  Honghai Liu,et al.  Reliable Fuzzy Control for Active Suspension Systems With Actuator Delay and Fault , 2012, IEEE Transactions on Fuzzy Systems.

[28]  Ju H. Park,et al.  Robust dissipativity analysis of neural networks with time-varying delay and randomly occurring uncertainties , 2012 .

[29]  Bing Chen,et al.  Robust Stability for Uncertain Delayed Fuzzy Hopfield Neural Networks With Markovian Jumping Parameters , 2009, IEEE Trans. Syst. Man Cybern. Part B.

[30]  Guang-Hong Yang,et al.  New Delay-Dependent Stability Results for Neural Networks With Time-Varying Delay , 2008, IEEE Transactions on Neural Networks.

[31]  Min Wu,et al.  Stability Analysis for Neural Networks With Time-Varying Interval Delay , 2007, IEEE Transactions on Neural Networks.

[32]  Vilma Alves de Oliveira,et al.  Robust $H_{\infty}$ Fuzzy Control Approach for a Class of Markovian Jump Nonlinear Systems , 2006, IEEE Transactions on Fuzzy Systems.

[33]  Carlo Cosentino,et al.  Finite-time stabilization via dynamic output feedback, , 2006, Autom..

[34]  James Lam,et al.  Stochastic stability analysis of fuzzy hopfield neural networks with time-varying delays , 2005, IEEE Transactions on Circuits and Systems II: Express Briefs.

[35]  László T. Kóczy,et al.  Supervised training algorithms for B-Spline neural networks and neuro-fuzzy systems , 2002, Int. J. Syst. Sci..

[36]  Karl Henrik Johansson,et al.  The quadruple-tank process: a multivariable laboratory process with an adjustable zero , 2000, IEEE Trans. Control. Syst. Technol..

[37]  P. Dorato SHORT-TIME STABILITY IN LINEAR TIME-VARYING SYSTEMS , 1961 .

[38]  N. Gunasekaran,et al.  State estimation of T-S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control , 2017, Fuzzy Sets Syst..

[39]  Jianwei Xia,et al.  Further results on dissipativity analysis of neural networks with time-varying delay and randomly occurring uncertainties , 2015 .

[40]  PooGyeon Park,et al.  Reciprocally convex approach to stability of systems with time-varying delays , 2011, Autom..

[41]  Huaguang Zhang,et al.  Novel Weighting-Delay-Based Stability Criteria for Recurrent Neural Networks With Time-Varying Delay , 2010, IEEE Transactions on Neural Networks.

[42]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.