L2-L∞ state estimation for continuous stochastic delayed neural networks via memory event-triggering strategy

sEMG pattern recognition based on recurrent neural network

(2021) Tarek M. Bittibssi et al.   Biomedical Signal Processing and Control

Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements

(2020) Jun Hu et al.   AUTOMATICA

Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip

(2020) Nianyin Zeng et al.   NEUROCOMPUTING

Extended dissipative state estimation of delayed stochastic neural networks

(2020) Ramasamy Saravanakumar et al.   NEUROCOMPUTING

Moving horizon estimation with non-uniform sampling under component-based dynamic event-triggered transmission

(2020) Lei Zou et al.   AUTOMATICA

Moving Horizon Estimation With Unknown Inputs Under Dynamic Quantization Effects

(2020) Lei Zou et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

H∞ and l2-l∞ state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol

(2020) Hongjian Liu et al.   NEURAL NETWORKS

A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises

(2020) Min Wang et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

(2019) Derui Ding et al.   IEEE Transactions on Industrial Informatics

An improved memory-event-triggered control for networked control systems

(2019) Engang Tian et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Chance-constrained H∞ control for a class of time-varying systems with stochastic nonlinearities: The finite-horizon case

(2019) Engang Tian et al.   AUTOMATICA

Recursive distributed filtering over sensor networks on Gilbert–Elliott channels: A dynamic event-triggered approach

(2019) Qi Li et al.   AUTOMATICA

Input-output finite-time stability for networked control systems with memory event-triggered scheme

(2019) Kunyu Wang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

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

Event-Based Adaptive Neural Tracking Control for Discrete-Time Stochastic Nonlinear Systems: A Triggering Threshold Compensation Strategy

(2019) Min Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

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

Moving Horizon Estimation of Networked Nonlinear Systems With Random Access Protocol

(2019) Lei Zou et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Event-triggered dissipative control for networked stochastic systems under non-uniform sampling

(2018) Jia Wang et al.   INFORMATION SCIENCES

Event-triggered H ∞ state estimation for state-saturated complex networks subject to quantization effects and distributed delays

(2018) Qi Li et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Event-triggered L2–L∞ state estimation for discrete-time neural networks with sensor saturations and data quantization

(2018) Huijiao Wang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

State Estimation for Static Neural Networks With Time-Varying Delays Based on an Improved Reciprocally Convex Inequality

(2018) Xian-Ming Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Synchronization Control for A Class of Discrete Time-Delay Complex Dynamical Networks: A Dynamic Event-Triggered Approach

(2018) Qi Li et al.   IEEE Transactions on Cybernetics

A Threshold-Parameter-Dependent Approach to Designing Distributed Event-Triggered H∞ Consensus Filters Over Sensor Networks

(2018) Xiaohua Ge et al.   IEEE Transactions on Cybernetics

Security Control for Discrete-Time Stochastic Nonlinear Systems Subject to Deception Attacks

(2018) Derui Ding et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Stochastic stability for distributed delay neural networks via augmented Lyapunov–Krasovskii functionals

(2018) Yonggang Chen et al.   APPLIED MATHEMATICS AND COMPUTATION

Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations

(2018) Jun Hu et al.   AUTOMATICA

Overview of recent advances in stability of linear systems with time-varying delays

(2018) Xian-Ming Zhang et al.   IET Control Theory and Applications

Probabilistic-constrained filtering for a class of nonlinear systems with improved static event-triggered communication

(2018) Engang Tian et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Finite-horizon filtering for a class of nonlinear time-delayed systems with an energy harvesting sensor

(2018) Bo Shen et al.   AUTOMATICA

An overview of neuronal state estimation of neural networks with time-varying delays

(2018) Xian-Ming Zhang et al.   INFORMATION SCIENCES

Finite-Time State Estimation for Delayed Neural Networks With Redundant Delayed Channels

(2018) Zhongyi Zhao et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Optimal control for networked control systems with disturbances: a delta operator approach

(2017) Yuan Yuan et al.   IET Control Theory and Applications

Set-membership state estimation subject to uniform quantization effects and communication constraints

(2017) Shuai Liu et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Further results on passivity analysis of delayed neural networks with leakage delay

(2017) Yonggang Chen et al.   NEUROCOMPUTING

Consensus control of stochastic multi-agent systems: a survey

(2017) Lifeng Ma et al.   Science China-Information Sciences

State Estimation for Discrete-Time Dynamical Networks With Time-Varying Delays and Stochastic Disturbances Under the Round-Robin Protocol

(2017) Lei Zou et al.   IEEE Transactions on Neural Networks and Learning Systems

Event-Triggered State Estimation for Discrete-Time Multidelayed Neural Networks With Stochastic Parameters and Incomplete Measurements

(2017) Bo Shen et al.   IEEE Transactions on Neural Networks and Learning Systems

A Dynamic Event-Triggered Transmission Scheme for Distributed Set-Membership Estimation Over Wireless Sensor Networks

(2017) Xiaohua Ge 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

A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements

(2016) Jun Hu et al.   AUTOMATICA

Event-Triggered State Estimation for Complex Networks With Mixed Time Delays via Sampled Data Information: The Continuous-Time Case

(2015) Lei Zou et al.   IEEE Transactions on Cybernetics

State estimation for switched discrete-time stochastic BAM neural networks with time varying delay

(2013) A. Arunkumar et al.   NONLINEAR DYNAMICS

Stability Analysis of Time-Delay Neural Networks Subject to Stochastic Perturbations

(2013) Yun Chen et al.   IEEE Transactions on Cybernetics

State Estimation for Coupled Uncertain Stochastic Networks With Missing Measurements and Time-Varying Delays: The Discrete-Time Case

(2009) Jinling Liang et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Robust State Estimation for Uncertain Neural Networks With Time-Varying Delay

(2008) He Huang et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

State estimation for discrete-time Markovian jumping neural networks with mixed mode-dependent delays

(2008) Yurong Liu et al.   PHYSICS LETTERS A