Iterative learning control for large scale nonlinear systems with observation noise
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Publication:445110
DOI10.1016/j.automatica.2012.01.005zbMath1244.93017OpenAlexW2056965287MaRDI QIDQ445110
Publication date: 24 August 2012
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2012.01.005
iterative learning controllarge scale systemasynchronous distributed controlnonlinear systems stochastic approximation
Learning and adaptive systems in artificial intelligence (68T05) Observability (93B07) Control/observation systems governed by ordinary differential equations (93C15) Large-scale systems (93A15)
Related Items (4)
Optimal input filtering for networked iterative learning control systems with packet dropouts and channel noises in both sides ⋮ Optimal input filters for iterative learning control systems with additive noises, random delays, and data dropouts in both channels ⋮ An adaptive iterative learning algorithm for boundary control of a flexible manipulator ⋮ Iterative learning control for networked stochastic systems with random packet losses
Cites Work
- Decentralized iterative learning control for a class of large scale interconnected dynamical systems
- Asymptotic behavior of asynchronous stochastic approximation
- Almost sure convergence of iterative learning control for stochastic systems
- Convergence analysis in sense of Lebesgue-\(p\) norm of decentralized non-repetitive iterative learning control for linear large-scale systems
- Asynchronous stochastic approximation and Q-learning
- Stochastic approximation and its applications
- Further results on adaptive iterative learning control of robot manipulators
- Asymptotic Properties of Distributed and Communicating Stochastic Approximation Algorithms
- Decentralized iterative learning control methods for large scale linear dynamic systems
- Asynchronous Stochastic Approximations
- An iterative learning controller with initial state learning
- Output Tracking for Nonlinear Stochastic Systems by Iterative Learning Control
- Iterative learning control for systems with input deadzone
- Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise
- Decentralized Iterative Learning Controllers for Nonlinear Large-scale Systems to Track Trajectories with Different Magnitudes
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