Fast data-driven iterative event-triggered control for nonlinear networked discrete systems with data dropouts and sensor saturation
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Publication:2005276
DOI10.1016/J.JFRANKLIN.2020.03.020zbMath1448.93083OpenAlexW3040085687MaRDI QIDQ2005276
Jiannan Chen, Xin-Ping Guan, Chang-Chun Hua
Publication date: 7 October 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.03.020
Nonlinear systems in control theory (93C10) Discrete event control/observation systems (93C65) Networked control (93B70) Iterative learning control (93B47)
Related Items (9)
Event-triggered iterative learning control for linear time-varying systems ⋮ Method to filter the updated input of P-type ILC controllers with communication delays and noises ⋮ Learning event‐triggered control based on evolving data‐driven fuzzy granular models ⋮ Model‐free adaptive tracking control for networked nonlinear systems with data dropout ⋮ Method for filtering the input transmitted by proportional ILC controllers over wireless delay channels ⋮ Predictive compensation based quantization iterative learning control for nonlinear nonaffine discrete‐time systems ⋮ Adaptive iteration learning control with iteration‐varying event‐triggered mechanism for discrete‐time nonlinear systems with random initial states ⋮ Sampling-based event-triggered iterative learning control in nonlinear hyperbolic distributed parameter systems ⋮ Event-triggered learning consensus of networked heterogeneous nonlinear agents with switching topologies
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