Model‐based event‐triggered neural learning control for discrete‐time strict‐feedback systems
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Publication:6069291
DOI10.1002/rnc.6228zbMath1528.93142OpenAlexW4281787080WikidataQ114961317 ScholiaQ114961317MaRDI QIDQ6069291
Cong Wang, Unnamed Author, Haotian Shi
Publication date: 16 December 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.6228
neural networksneural learningmodel-based event-triggered controldiscrete-time strict-feedback systems
Feedback control (93B52) Discrete-time control/observation systems (93C55) Discrete event control/observation systems (93C65)
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Cites Work
- Model-based periodic event-triggered control for linear systems
- Consensus-based distributed cooperative learning control for a group of discrete-time nonlinear multi-agent systems using neural networks
- A state-feedback approach to event-based control
- Adaptive NN control for a class of strict-feedback discrete-time nonlinear systems
- On the model-based control of networked systems
- Adaptive compensation for actuator failures with event-triggered input
- Neural-network-based output-feedback control with stochastic communication protocols
- Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements
- Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems
- Probabilistic‐constrained filtering for a class of nonlinear systems with improved static event‐triggered communication
- A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises
- Observer-based passive control of non-homogeneous Markov jump systems with random communication delays
- Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation
- A Set-Membership Approach to Event-Triggered Filtering for General Nonlinear Systems Over Sensor Networks
- Neural adaptive global stability control for robot manipulators with time‐varying output constraints
- Distributed filtering for nonlinear time‐delay systems over sensor networks subject to multiplicative link noises and switching topology
- Model-Based Event-Triggered Control for Systems With Quantization and Time-Varying Network Delays
- Observer‐based adaptive neural output‐feedback event‐triggered control for discrete‐time nonlinear systems using variable substitution
