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An iterative learning control law for dynamical systems

  • Published:1991-07 Issue:4 Volume:27 Page:729-732
  • ISSN:0005-1098
  • Container-title:Automatica
  • language:en
  • Short-container-title:Automatica

Author:

Sugie Toshiharu,Ono Toshiro

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference11 articles.

1. Bettering operation of dynamic systems by learning: A new control theory for servomechanism or mechatronics systems;Arimoto,1984

2. Bettering operation of robotics by learning;Arimoto;J. Robotic Syst.,1984

3. Can mechanical robots learn by themselves?;Arimoto,1985

4. Learning control theory for dynamical systems;Arimoto,1985

5. The design of learning control system for multivariable systems;Furuta,1987

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1. Iterative learning control approach for linear discrete time-varying systems with different initial time points;Journal of the Franklin Institute;2024-04

2. Filter-type iterative learning control for distributed parameter system with variable tracking trajectory and sensor/actuator networks;International Journal of Dynamics and Control;2024-03-23

3. Fundamental Trackability Problems for Iterative Learning Control;IEEE/CAA Journal of Automatica Sinica;2023-10

4. On Finite-Iteration Convergence of Iterative Learning Control;2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS);2022-08-03

5. Optimal Iterative Learning Control for Batch Processes in the Presence of Time-Varying Dynamics;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2022-01
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