Neural network-based event-triggered data-driven control of disturbed nonlinear systems with quantized input

DOI10.1016/j.neunet.2022.09.021zbMath1525.93259OpenAlexW4300981574MaRDI QIDQ6077672

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Publication date: 18 October 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2022.09.021

zbMATH Keywords

neural networkevent-triggered controlmodel-free adaptive control

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Perturbations in control/observation systems (93C73) Discrete event control/observation systems (93C65)

Related Items (2)

Event-based fault estimation and compensation for discrete-time systems via zonotopes ⋮ A novel fixed-time error-monitoring neural network for solving dynamic quaternion-valued Sylvester equations

Cites Work

• Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control
• A waiting-time-based event-triggered scheme for stabilization of complex-valued neural networks
• Event-triggered synchronization of discrete-time neural networks: a switching approach
• Event-based networked predictive control for networked control systems subject to two-channel delays
• Learning Model Predictive Control for Iterative Tasks. A Data-Driven Control Framework
• Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness
• New results on the synthesis of PID controllers
• Model‐free adaptive control for a class of nonlinear systems with uniform quantizer

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