A Variance-Constrained Method to Protocol-Based $$H_{\infty }$$ State Estimation for Delayed Neural Networks with Randomly Occurring Sensor Nonlinearity
出版年份 2023 全文链接
标题
A Variance-Constrained Method to Protocol-Based $$H_{\infty }$$ State Estimation for Delayed Neural Networks with Randomly Occurring Sensor Nonlinearity
作者
关键词
-
出版物
NEURAL PROCESSING LETTERS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2023-11-01
DOI
10.1007/s11063-023-11430-x
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Variance-Constrained Resilient $$H_{\infty }$$ State Estimation for Time-Varying Neural Networks with Random Saturation Observation Under Uncertain Occurrence Probability
- (2023) Yan Gao et al. NEURAL PROCESSING LETTERS
- Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations
- (2023) Jun Hu et al. Communications in Nonlinear Science and Numerical Simulation
- Fault detection filtering of nonhomogeneous Markov switching memristive neural networks with output quantization
- (2023) An Lin et al. INFORMATION SCIENCES
- Switching-Like Event-Triggered State Estimation for Reaction–Diffusion Neural Networks Against DoS Attacks
- (2023) Xiaona Song et al. NEURAL PROCESSING LETTERS
- A review: state estimation based on hybrid models of Kalman filter and neural network
- (2023) Shuo Feng et al. Systems Science & Control Engineering
- Distributed resilient fusion filtering for nonlinear systems with multiple missing measurements via dynamic event-triggered mechanism
- (2023) Jun Hu et al. INFORMATION SCIENCES
- Sliding mode consensus control for multi-agent systems under component-based weighted try-once-discard protocol
- (2023) Jiancheng Xu et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Peak-to-peak fuzzy filtering of nonlinear discrete-time systems with markov communication protocol
- (2022) Jun Cheng et al. INFORMATION SCIENCES
- Distributed recursive fault estimation with binary encoding schemes over sensor networks
- (2022) Pengyu Wen et al. Systems Science & Control Engineering
- Recent advances on cooperative control of heterogeneous multi-agent systems subject to constraints: a survey
- (2022) Guangyan Bao et al. Systems Science & Control Engineering
- H∞ state-feedback control for saturated 2-D Roesser systems: the event-triggered case
- (2022) Hui Yu et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- An event-triggered round-robin protocol to dynamic output feedback control for nonhomogeneous Markov switching systems
- (2022) Jun Cheng et al. AUTOMATICA
- Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation
- (2022) R. Caballero-Águila et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Distributed filtering for time-varying state-saturated systems with packet disorders: An event-triggered case
- (2022) Jiaxing Li et al. APPLIED MATHEMATICS AND COMPUTATION
- Mean Square Stabilization of Neural Networks with Weighted Try once Discard Protocol and State Observer
- (2021) Linxiang Qi et al. NEURAL PROCESSING LETTERS
- Asynchronous finite-time state estimation for semi-Markovian jump neural networks with randomly occurred sensor nonlinearities
- (2021) Yao Wang et al. NEUROCOMPUTING
- Classification of impedance cardiography dZ/dt complex subtypes using pattern recognition artificial neural networks
- (2021) Sara Benouar et al. Biomedical Engineering-Biomedizinische Technik
- $$H_\infty $$ State Estimation for Round-Robin Protocol-Based Markovian Jumping Neural Networks with Mixed Time Delays
- (2021) Cong Zou et al. NEURAL PROCESSING LETTERS
- Delay Compensation-Based State Estimation for Time-Varying Complex Networks With Incomplete Observations and Dynamical Bias
- (2021) Jun Hu et al. IEEE Transactions on Cybernetics
- l2–l∞ state estimation for delayed artificial neural networks under high-rate communication channels with Round-Robin protocol
- (2020) Yuxuan Shen et al. NEURAL NETWORKS
- An LMI Based State Estimation for Fractional-Order Memristive Neural Networks with Leakage and Time Delays
- (2020) G. Nagamani et al. NEURAL PROCESSING LETTERS
- Variance-Constrained H∞ State Estimation for Time-Varying Multi-Rate Systems with Redundant Channels: The Finite-Horizon Case
- (2019) Licheng Wang et al. INFORMATION SCIENCES
- Observer-Based Fuzzy Adaptive Event-Triggered Control for Pure-Feedback Nonlinear Systems With Prescribed Performance
- (2019) Jianbin Qiu et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Finite-time event-triggered non-fragile state estimation for discrete-time delayed neural networks with randomly occurring sensor nonlinearity and energy constraints
- (2019) Yamin Wang et al. NEUROCOMPUTING
- Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling
- (2019) Jun Hu et al. IEEE Transactions on Neural Networks and Learning Systems
- Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays
- (2019) Jiahui Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Stabilization of Networked Control Systems With Hybrid-Driven Mechanism and Probabilistic Cyber Attacks
- (2019) Jinliang Liu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A Novel Finite-Time Control for Nonstrict Feedback Saturated Nonlinear Systems With Tracking Error Constraint
- (2019) Kangkang Sun et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Finite-time H∞ asynchronous state estimation for discrete-time fuzzy Markov jump neural networks with uncertain measurements
- (2018) Hao Shen et al. FUZZY SETS AND SYSTEMS
- Robust estimator design for periodic neural networks with polytopic uncertain weight matrices and randomly occurred sensor nonlinearities
- (2018) Hong-Xia Rao et al. IET Control Theory and Applications
- Event-triggered non-fragile state estimation for delayed neural networks with randomly occurring sensor nonlinearity
- (2018) Lijuan Zha et al. NEUROCOMPUTING
- State estimation for delayed neural networks with stochastic communication protocol: The finite-time case
- (2018) Fuad E. Alsaadi et al. NEUROCOMPUTING
- Resilient State Estimation for 2-D Time-Varying Systems With Redundant Channels: A Variance-Constrained Approach
- (2018) Fan Wang et al. IEEE Transactions on Cybernetics
- Non-fragile state estimation for delayed fractional-order memristive neural networks
- (2018) Ruoxia Li et al. APPLIED MATHEMATICS AND COMPUTATION
- Finite-time non-fragile state estimation for discrete neural networks with sensor failures, time-varying delays and randomly occurring sensor nonlinearity
- (2018) Jian-Ning Li et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol
- (2016) Yuqiang Luo et al. NEURAL NETWORKS
- Superconducting Neural Network for Solving a Combinatorial Optimization Problem
- (2010) Takeshi Onomi et al. IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY
- H∞ filtering for uncertain time-varying systems with multiple randomly occurred nonlinearities and successive packet dropouts
- (2010) Bo Shen et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
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