Multiple model ILC for continuous-time nonlinear systems
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Publication:1725456
DOI10.1155/2014/984742zbMath1406.93165OpenAlexW2134271331WikidataQ59043311 ScholiaQ59043311MaRDI QIDQ1725456
Yang Li, Kang Wang, Xiao-Li Li
Publication date: 14 February 2019
Published in: Abstract and Applied Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/984742
Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Adaptive control/observation systems (93C40)
Cites Work
- Stability analysis of discrete-time iterative learning control systems with interval uncertainty
- Data-driven adaptive observer for fault diagnosis
- Adaptive iterative learning control of non-linear MIMO continuous systems with iteration-varying initial error and reference trajectory
- Discrete-time Adaptive ILC for Non-parametric Uncertain Nonlinear Systems with Iteration-Varying Trajectory and Random Initial Condition
- Adaptive control using multiple models
- A composite energy function-based learning control approach for nonlinear systems with time-varying parametric uncertainties
- Monotonic Convergent Iterative Learning Controller Design Based on Interval Model Conversion
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