Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach
Authors
Keywords
Artificial neural networks, State estimation, Randomly occurring delay, Time-varying probability, Dynamic event triggering mechanism, Gain-scheduled approach
Journal
NEURAL NETWORKS
Volume 132, Issue -, Pages 211-219
Publisher
Elsevier BV
Online
2020-09-04
DOI
10.1016/j.neunet.2020.08.023
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An overview of stability analysis and state estimation for memristive neural networks
- (2020) Hongjian Liu et al. NEUROCOMPUTING
- H∞ state estimation for multi-rate artificial neural networks with integral measurements: A switched system approach
- (2020) Yuxuan Shen et al. INFORMATION SCIENCES
- Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities
- (2020) Jiahui Li et al. NEURAL NETWORKS
- A Partial-Nodes-Based Information fusion approach to state estimation for discrete-Time delayed stochastic complex networks
- (2019) Yurong Liu et al. Information Fusion
- Dynamical performance analysis of communication-embedded neural networks: A survey
- (2019) Wei Chen et al. NEUROCOMPUTING
- Global exponential stability in Lagrange sense for quaternion-valued neural networks with leakage delay and mixed time-varying delays
- (2019) Hanqi Shu et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- State estimation for neural networks with Markov-based nonuniform sampling: The partly unknown transition probability case
- (2019) Yufei Liu et al. NEUROCOMPUTING
- Distributed Resilient Filtering for Power Systems Subject to Denial-of-Service Attacks
- (2019) Wei Chen et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Recursive distributed filtering over sensor networks on Gilbert–Elliott channels: A dynamic event-triggered approach
- (2019) Qi Li et al. AUTOMATICA
- Event/Self-Triggered Control for Leader-Following Consensus Over Unreliable Network With DoS Attacks
- (2019) Wenying Xu et al. IEEE Transactions on Neural Networks and Learning Systems
- Protocol-Based Unscented Kalman Filtering in the Presence of Stochastic Uncertainties
- (2019) Shuai Liu et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Dynamic event-triggered mechanism for H∞ non-fragile state estimation of complex networks under randomly occurring sensor saturations
- (2019) Qi Li et al. INFORMATION SCIENCES
- Finite-time resilient H∞ state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism
- (2019) Yufei Liu et al. NEURAL NETWORKS
- A Set-Membership Approach to Event-Triggered Filtering for General Nonlinear Systems Over Sensor Networks
- (2019) Derui Ding et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Distributed Set-Membership Filtering for Multirate Systems Under the Round-Robin Scheduling Over Sensor Networks
- (2019) Shuai Liu et al. IEEE Transactions on Cybernetics
- 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
- Adaptive Neural Event-Triggered Control for Discrete-Time Strict-Feedback Nonlinear Systems
- (2019) Min Wang et al. IEEE Transactions on Cybernetics
- Distributed Secure Cooperative Control Under Denial-of-Service Attacks From Multiple Adversaries
- (2019) Wenying Xu et al. IEEE Transactions on Cybernetics
- State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks
- (2019) Bo Shen et al. IEEE Transactions on Neural Networks and Learning Systems
- Finite-Time State Estimation for Recurrent Delayed Neural Networks With Component-Based Event-Triggering Protocol
- (2018) Licheng Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- Robust Estimation for Neural Networks With Randomly Occurring Distributed Delays and Markovian Jump Coupling
- (2018) Yong Xu et al. IEEE Transactions on Neural Networks and Learning Systems
- Event-Based Variance-Constrained ${\mathcal {H}}_{\infty }$ Filtering for Stochastic Parameter Systems Over Sensor Networks With Successive Missing Measurements
- (2018) Licheng Wang et al. IEEE Transactions on Cybernetics
- Observer-Based Consensus Control for Discrete-Time Multiagent Systems With Coding-Decoding Communication Protocol
- (2018) Licheng Wang et al. IEEE Transactions on Cybernetics
- Delay-Distribution-Dependent H∞ State Estimation for Discrete-Time Memristive Neural Networks With Mixed Time-Delays and Fading Measurements
- (2018) Hongjian Liu et al. IEEE Transactions on Cybernetics
- An overview of neuronal state estimation of neural networks with time-varying delays
- (2018) Xian-Ming Zhang et al. INFORMATION SCIENCES
- Event-triggered multi-rate fusion estimation for uncertain system with stochastic nonlinearities and colored measurement noises
- (2017) Hailong Tan et al. Information Fusion
- Design of the MOI method based on the artificial neural network for crack detection
- (2017) Lulu Tian et al. NEUROCOMPUTING
- Partial-Nodes-Based State Estimation for Complex Networks With Unbounded Distributed Delays
- (2017) Yurong Liu et al. IEEE Transactions on Neural Networks and Learning Systems
- Synchronization Control for a Class of Discrete-Time Dynamical Networks With Packet Dropouts: A Coding-Decoding-Based Approach
- (2017) Licheng Wang et al. IEEE Transactions on Cybernetics
- Neuronal State Estimation for Neural Networks With Two Additive Time-Varying Delay Components
- (2017) Xian-Ming Zhang et al. IEEE Transactions on Cybernetics
- Event-Triggered Partial-Nodes-Based State Estimation for Delayed Complex Networks With Bounded Distributed Delays
- (2017) Yurong Liu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Network-Based Event-Triggered Control for Singular Systems With Quantizations
- (2016) Peng Shi et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Mixed H-Infinity and Passive Filtering for Discrete Fuzzy Neural Networks With Stochastic Jumps and Time Delays
- (2016) Peng Shi et al. IEEE Transactions on Neural Networks and Learning Systems
- Dynamic Triggering Mechanisms for Event-Triggered Control
- (2015) Antoine Girard IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Event-Based Recursive Distributed Filtering Over Wireless Sensor Networks
- (2015) Qinyuan Liu et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Stability Analysis of Distributed Delay Neural Networks Based on Relaxed Lyapunov–Krasovskii Functionals
- (2015) Baoyong Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- A New Framework for Analysis on Stability and Bifurcation in a Class of Neural Networks With Discrete and Distributed Delays
- (2015) Wenying Xu et al. IEEE Transactions on Cybernetics
- A Survey on Gain-Scheduled Control and Filtering for Parameter-Varying Systems
- (2014) Guoliang Wei et al. DISCRETE DYNAMICS IN NATURE AND SOCIETY
- Probability-dependent H∞ synchronization control for dynamical networks with randomly varying nonlinearities
- (2014) Licheng Wang et al. NEUROCOMPUTING
- Probability-Dependent Gain-Scheduled Filtering for Stochastic Systems With Missing Measurements
- (2011) Guoliang Wei et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
- Stability Analysis of Discrete-Time Recurrent Neural Networks With Stochastic Delay
- (2009) Yu Zhao et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now