Journal ArticleDOI
Iterative learning control for discrete-time systems with exponential rate of convergence
N. Amann,David H. Owens,Eric Rogers +2 more
- Vol. 143, Iss: 2, pp 217-224
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TLDR
An algorithm for iterative learning control is proposed based on an optimisation principle used by other authors to derive gradient-type algorithms and has potential benefits which include realisation in terms of Riccati feedback and feedforward components.Abstract:
An algorithm for iterative learning control is proposed based on an optimisation principle used by other authors to derive gradient-type algorithms. The new algorithm is a descent algorithm and has potential benefits which include realisation in terms of Riccati feedback and feedforward components. This realisation also has the advantage of implicitly ensuring automatic step-size selection and hence guaranteeing convergence without the need for empirical choice of parameters. The algorithm achieves a geometric rate of convergence for invertible plants. One important feature of the proposed algorithm is the dependence of the speed of convergence on weight parameters appearing in the norms of the signals chosen for the optimisation problem.read more
Citations
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Journal Article
Robustness of Hybrid Learning Acceleration Feedback Control Scheme in Flexible Manipulators
TL;DR: This paper describes a practical approach to design and develop a hybrid learning with acceleration feedback control (HLC) scheme for input tracking and end-point vibration suppression of flexible manipulator systems.
Proceedings ArticleDOI
Iterative learning control for stroke rehabilitation with input dependent muscle fatigue modeling
TL;DR: New results are given on enhancing the control laws to mitigate this unwanted effect of muscle fatigue in this application of applied stimulation.
Book ChapterDOI
Iterative Learning Control—An Overview
TL;DR: This chapter gives the required background on iterative learning control and introduces the defining characteristic of this form of control that is used in the stroke rehabilitation research.
Journal ArticleDOI
Modified Newton-based ILC solving specific target tracking problems for non-linear batch reactor
Bo Pang,Cheng Shao +1 more
TL;DR: A modified Newton-method-based iterative learning control scheme is suggested to solve the specific sampled target tracking control of discrete non-linear system and is proved theoretically that the algorithm can ensure the resulting closed loop system to have global and monotonic convergence in the presence of initial errors.
Economic Iterative Learning Control with Application to Tethered Energy Systems.
TL;DR: This dissertation presents two iterative learning control frameworks for repetitive, path-following systems, both of which are tailored to explicitly consider economic performance objectives and validate the ILC algorithms on each of four dynamic models of tethered energy systems.
References
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Numerical recipes in C
TL;DR: The Diskette v 2.06, 3.5''[1.44M] for IBM PC, PS/2 and compatibles [DOS] Reference Record created on 2004-09-07, modified on 2016-08-08.
Book
Optimization by Vector Space Methods
TL;DR: This book shows engineers how to use optimization theory to solve complex problems with a minimum of mathematics and unifies the large field of optimization with a few geometric principles.
Book
Optimal Control
TL;DR: Reading optimal control frank l lewis solution manual ebook pdf 2019 is extremely useful because you could get enough detailed information in the book technology has.