Nonfragile mixed $$\varvec{H}_{\varvec{\infty }}/\varvec{l}_{\varvec{2}} -\varvec{l}_{\varvec{\infty }}$$H∞/l2-l∞ state estimation for repeated scalar nonlinear systems with Markov jumping parameters and redundant channels
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Hao Shen | Mengshen Chen | Ting Wang | Junwei Lu | Hao Shen | Junwei Lu | Mengshen Chen | Ting Wang
[1] Tae H. Lee,et al. $$\mathcal {H}_{\infty }$$H∞ filtering for sample data systems with stochastic sampling and Markovian jumping parameters , 2014 .
[2] S. Kim. Control synthesis of Markovian jump fuzzy systems based on a relaxation scheme for incomplete transition probability descriptions , 2014 .
[3] Xiaona Song,et al. Event-triggered H∞ control for networked discrete-time Markov jump systems with repeated scalar nonlinearities , 2017, Appl. Math. Comput..
[4] Renquan Lu,et al. Nonfragile l2-l∞ state estimation for discrete-time neural networks with jumping saturations , 2016, Neurocomputing.
[5] Xia Huang,et al. A Numerical Method for Delayed Fractional-Order Differential Equations: Based on G-L Definition , 2013 .
[6] Hao Shen,et al. Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[7] Huiling Xu,et al. Non-fragile finite-time filter design for time-delayed Markovian jumping systems via T–S fuzzy model approach , 2015 .
[8] Huijun Gao,et al. H∞ filtering for systems with repeated scalar nonlinearities under unreliable communication links , 2009, Signal Process..
[9] Yun-Chung Chu,et al. Bounds of the induced norm and model reduction errors for systems with repeated scalar nonlinearities , 1999, IEEE Trans. Autom. Control..
[10] Daniel W. C. Ho,et al. Variance-constrained control for uncertain stochastic systems with missing measurements , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[11] Yi Zhao,et al. Global synchronization of nonlinear coupled complex dynamical networks with information exchanges at discrete-time , 2015, Neurocomputing.
[12] Ju H. Park,et al. Mean square exponential synchronization for impulsive coupled neural networks with time-varying delays and stochastic disturbances , 2016, Complex..
[13] Hao Shen,et al. Non-fragile mixed ℋ∞/l 2 − l ∞ synchronisation control for complex networks with Markov jumping-switching topology under unreliable communication links , 2014 .
[14] Hao Shen,et al. Event-triggered dissipative filtering for networked semi-Markov jump systems and its applications in a mass-spring system model , 2017 .
[15] Fuad E. Alsaadi,et al. H∞ state estimation for artificial neural networks over redundant channels , 2017, Neurocomputing.
[16] Ju H. Park,et al. Nonfragile $\mathcal{H}_{\infty}$ Control for Fuzzy Markovian Jump Systems Under Fast Sampling Singular Perturbation , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[17] Zhen Wang,et al. Reduced-order observer design for the synchronization of the generalized Lorenz chaotic systems , 2012, Appl. Math. Comput..
[18] Jianwen Feng,et al. Exponential synchronization of nonlinearly coupled complex networks with hybrid time-varying delays via impulsive control , 2016, Nonlinear Dynamics.
[19] Yuanqing Xia,et al. SMC Design for Robust Stabilization of Nonlinear Markovian Jump Singular Systems , 2018, IEEE Transactions on Automatic Control.
[20] R. Rakkiyappan,et al. Sampled-data synchronization and state estimation for nonlinear singularly perturbed complex networks with time-delays , 2016 .
[21] Zhen Wang,et al. Analysis of nonlinear dynamics and chaos in a fractional order financial system with time delay , 2011, Comput. Math. Appl..
[22] Zhen Wang,et al. A Numerical Method for Delayed Fractional-Order Differential Equations , 2013, J. Appl. Math..
[23] Ligang Wu,et al. Output Feedback Control of Markovian Jump Repeated Scalar Nonlinear Systems , 2014 .
[24] Qingling Zhang,et al. $$H_\infty $$H∞ filtering for stochastic singular fuzzy systems with time-varying delay , 2015 .
[25] Yeung Sam Hung,et al. Distributed H∞-consensus filtering in sensor networks with multiple missing measurements: The finite-horizon case , 2010, Autom..
[26] Fuad E. Alsaadi,et al. H∞ and I2-I∞ finite-horizon filtering with randomly occurring gain variations and quantization effects , 2017, Appl. Math. Comput..
[27] S. Zhong,et al. Further results on state estimation of neural networks with multiple time delays , 2016 .
[28] Zidong Wang,et al. Envelope-constrained H∞ filtering with fading measurements and randomly occurring nonlinearities: The finite horizon case , 2015, Autom..
[29] Huijun Gao,et al. ℋ︁∞ and l2–l∞ filtering for two‐dimensional linear parameter‐varying systems , 2007 .
[30] Jianliang Wang,et al. Non-fragile Hinfinity control for linear systems with multiplicative controller gain variations , 2001, Autom..
[31] Hao Shen,et al. Mixed H∞/passive synchronization for complex dynamical networks with sampled-data control , 2015, Appl. Math. Comput..
[32] R. Rakkiyappan,et al. Delayed impulsive synchronization of nonlinearly coupled Markovian jumping complex dynamical networks with stochastic perturbations , 2017 .
[33] Huisheng Shu,et al. Almost sure state estimation for nonlinear stochastic systems with Markovian switching , 2014 .