Robust ILC design with application to stroke rehabilitation
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Publication:2409244
DOI10.1016/j.automatica.2017.04.016zbMath1372.93082OpenAlexW2605661021MaRDI QIDQ2409244
Publication date: 11 October 2017
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2017.04.016
Sensitivity (robustness) (93B35) Learning and adaptive systems in artificial intelligence (68T05) Feedback control (93B52)
Related Items (4)
Markov parameters identification and adaptive iterative learning control for linear discrete-time MIMO systems with higher-order relative degree ⋮ Iterative learning control based on dynamic time warping for a class of discrete‐time nonlinear systems with varying trial lengths and terminus constraint ⋮ Convergence analysis of feedback-based iterative learning control with input saturation ⋮ Adaptive learning tracking for uncertain systems with partial structure information and varying trial lengths
Cites Work
- Iterative learning control in optimal tracking problems with specified data points
- A robust approach to iterative learning control design for uncertain systems
- Robustness analysis of nonlinear feedback systems: an input-output approach
- Synthesis of robust multivariable iterative learning controllers with application to a wafer stage motion system
- Robust iterative learning control design is straightforward for uncertain LTI systems satisfying the robust performance condition
- Monotonic Convergent Iterative Learning Controller Design Based on Interval Model Conversion
- Robust stability of iterative learning control schemes
- Residual vibration suppression using Hankel iterative learning control
- Discrete-time inverse model-based iterative learning control: stability, monotonicity and robustness
- An inverse-model approach to multivariable norm optimal iterative learning control with auxiliary optimisation
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