H∞iterative learning controller design for a class of discrete-time systems with data dropouts
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Publication:5168035
DOI10.1080/00207721.2012.757815zbMath1290.93061OpenAlexW2063622613MaRDI QIDQ5168035
Zhongsheng Hou, Fashan Yu, Xuhui Bu, Fuzhong Wang
Publication date: 3 July 2014
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2012.757815
\(H_\infty\) performancestochastic systemsiterative learning control (ILC)data dropoutsiteration-varying disturbance
Learning and adaptive systems in artificial intelligence (68T05) Discrete-time control/observation systems (93C55) (H^infty)-control (93B36)
Related Items (18)
Networked iterative learning control for discrete-time systems with stochastic packet dropouts in input and output channels ⋮ Robust iterative learning control design for linear systems with time-varying delays and packet dropouts ⋮ Learning control for linear systems under general data dropouts at both measurement and actuator sides: a Markov chain approach ⋮ Iterative Learning Control for Linear Discrete‐Time Systems with Unknown High‐Order Internal Models: A Time‐Frequency Analysis Approach ⋮ On iterative learning control for MIMO nonlinear systems in the presence of time-iteration-varying parameters ⋮ Method to filter the updated input of P-type ILC controllers with communication delays and noises ⋮ 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 ⋮ Iterative learning control design for linear discrete-time systems with multiple high-order internal models ⋮ A comparison of compensation methods for random input data dropouts in networked iterative learning control system ⋮ Model free adaptive iterative learning control for a class of nonlinear systems with randomly varying iteration lengths ⋮ An iterative learning control design approach for networked control systems with data dropouts ⋮ Two updating schemes of iterative learning control for networked control systems with random data dropouts ⋮ Adaptive ILC algorithms of nonlinear continuous systems with non-parametric uncertainties for non-repetitive trajectory tracking ⋮ \(H_\infty\) ILC design for discrete linear systems with packet dropouts and iteration-varying disturbances ⋮ Robust ILC with iteration-varying initial state shifts: a 2D approach ⋮ Convergence properties of two networked iterative learning control schemes for discrete-time systems with random packet dropout ⋮ Fundamental performance limitations of networked control systems with novel trade-off factors and constraint channels
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