Lebesgue‐p NORM Convergence OF Fractional‐Order PID‐Type Iterative Learning Control for Linear Systems

DOI10.1002/asjc.1561zbMath1391.93099OpenAlexW2620308291MaRDI QIDQ4575105

Lei Li

Publication date: 12 July 2018

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1561

zbMATH Keywords

linear systemsiterative learning controlmonotone convergenceCaputo-type fractional-order derivativeLebesgue-p norm

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Design techniques (robust design, computer-aided design, etc.) (93B51) Linear systems in control theory (93C05) Control/observation systems governed by ordinary differential equations (93C15) Fractional ordinary differential equations (34A08)

Related Items (7)

Quantized iterative learning control for singular nonlinear fractional-order time-delay multi-agent systems with iteration-varying reference trajectories and switching topologies ⋮ Rectified fractional order iterative learning control for linear system with initial state shift ⋮ Lebesgue-\(p\) norm convergence analysis of PD\(^\alpha\)-type iterative learning control for fractional-order nonlinear systems ⋮ Convergence analysis for iterative learning control of impulsive linear discrete delay systems ⋮ Iterative learning control for linear discrete delay systems via discrete matrix delayed exponential function approach ⋮ Application of the Hirsch Generic Convergence Statement to the Set‐Point Regulation of Excitable‐Transparent‐Monotone Systems ⋮ The Use of the Ritz Method and Laplace Transform for Solving 2D Fractional‐Order Optimal Control Problems Described by the Roesser Model

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