Stochastic P-type/D-type iterative learning control algorithms
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Publication:4709659
DOI10.1080/0020717031000077717zbMath1033.93027OpenAlexW2057402039MaRDI QIDQ4709659
Publication date: 2003
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/0020717031000077717
iterative learning controlstochastic algorithmssteady state performancetime-varying linear discrete systems
Control/observation systems with incomplete information (93C41) Design techniques (robust design, computer-aided design, etc.) (93B51) Discrete-time control/observation systems (93C55) Stochastic learning and adaptive control (93E35)
Related Items (12)
Iterative learning control of a multiagent system under random perturbations ⋮ Anticipatory approach to design robust iterative learning control for uncertain time-delay systems ⋮ Pulse compensation for PD-type iterative learning control against initial state shift ⋮ Repetitive process based stochastic iterative learning control design for linear dynamics ⋮ Iterative learning control design for discrete-time stochastic switched systems ⋮ Intervalized iterative learning control for monotonic convergence in the sense of sup-norm ⋮ Combined inverse and gradient iterative learning control: performance, monotonicity, robustness and non‐minimum‐phase zeros ⋮ Robust learning controller design for MIMO stochastic discrete-time systems: An H∞-based approach ⋮ A New Fuzzy Iterative Learning Control Algorithm for Single Joint Manipulator ⋮ New P-Type and D-Type Iterative Learning Control Update Laws for Networked Control Systems with Random Data Dropouts ⋮ A stochastic iterative learning control algorithm with application to an induction motor ⋮ Robust ILC with iteration-varying initial state shifts: a 2D approach
Cites Work
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- A P-type iterative learning controller for robust output tracking of nonlinear time-varying systems
- Iterative learning control synthesis based on 2-D system theory
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