A PD-type iterative learning control algorithm for singular discrete systems

DOI10.1186/S13662-016-1047-4zbMath1419.93039OpenAlexW2560125821WikidataQ59466027 ScholiaQ59466027MaRDI QIDQ1628381

Jianxiang Zhang, Senping Tian, Xisheng Dai, Qian Liu

Publication date: 4 December 2018

Published in: Advances in Difference Equations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13662-016-1047-4

zbMATH Keywords

convergence analysisPD-type iterative learning controlsingular discrete systems

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55)

Related Items (9)

P-type iterative learning control algorithm for a class of linear singular impulsive systems ⋮ Iterative learning control for one‐sided Lipschitz nonlinear singular conformable differential equations ⋮ Petri net analysis of a queueing inventory system with orbital search by the server ⋮ Iterative learning control for a class of discrete-time singular systems ⋮ Discrete Fourier transform based frequency characteristics of iterative learning control for linear discrete-time systems ⋮ Closed-loop iterative learning control for discrete singular systems with fixed initial shift ⋮ Analysis of iterative learning control for one-sided Lipschitz nonlinear singular systems ⋮ Iterative learning control for a class of singular impulsive systems ⋮ Convergence characteristics of iterative learning control for discrete-time singular systems

Cites Work

• Iterative learning control for uncertain systems: robust monotonic convergence analysis
• Analysis of a high-order iterative learning control algorithm for uncertain nonlinear systems with state delays
• Singular control systems
• Linear and nonlinear iterative learning control
• An iterative learning algorithm for boundary control of a stretched moving string
• Iterative learning control for spatio-temporal dynamics using Crank-Nicholson discretization
• Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition
• Initial shift issues on discrete-time iterative learning control with system relative degree
• A Unified Adaptive Iterative Learning Control Framework for Uncertain Nonlinear Systems
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