Further results on iterative learning control with convergence conditions for linear time-variant discrete systems

DOI10.1080/00207720903282931zbMath1233.93050OpenAlexW2043058420MaRDI QIDQ3006236

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Publication date: 10 June 2011

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720903282931

zbMATH Keywords

iterative learning control (ILC) algorithmslinear time-variant discrete systems.

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)

Related Items (5)

Convergence analysis of iterative learning control for two classes of 2-D linear discrete Fornasini-Marchesini model ⋮ Discrete PID-type iterative learning control for mobile robot ⋮ An adaptive iterative learning algorithm for boundary control of a flexible manipulator ⋮ Finite-time consensus protocols for networks of dynamic agents by terminal iterative learning ⋮ Probabilistic tracking control for non-Gaussian stochastic process using novel iterative learning algorithms

Cites Work

• A universal iterative learning stabilizer for a class of MIMO systems
• Stability analysis of discrete-time iterative learning control systems with interval uncertainty
• Necessary and sufficient condition for convergence of iterative learning algorithm
• Iterative learning control for a class of nonlinear discrete-time systems with multiple input delays
• Cartesian-based learning control for robots in discrete-time formulation
• An iterative learning control method for continuous-time systems based on 2-D system theory
• A discrete-time learning control algorithm for a class of linear time-invariant systems
• Impulsive control in continuous and discrete-continuous systems [Book Reviews]
• On initial conditions in iterative learning control
• Iterative learning control synthesis based on 2-D system theory

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