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
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Book ChapterDOI
Comparison of Iterative Learning and Repetitive Control Applied to a Compressor Stator Cascade
TL;DR: In this article, a closed-loop flow controller is applied to an experimental linear compressor stator cascade with sidewall actuation, where a damper flap device located downstream of the trailing edges of the blades generates periodic disturbances of the individual passage flows.
Journal ArticleDOI
Conic Input Mapping Design of Constrained Optimal Iterative Learning Controller for Uncertain Systems
TL;DR: In this paper , a novel conic input mapping (CIM) design methodology was proposed to incorporate the online process data into the optimal and robust optimal ILC design, respectively.
Journal ArticleDOI
Towards transient growth analysis and design in iterative learning control
TL;DR: In this paper, the problem of bounding transient growth in iterative learning control (ILC) is examined, where the authors consider the possibility that some transient growth, if properly limited, is a viable and practical option.
Journal ArticleDOI
Feedback-Assisted Iterative Learning Model Predictive Control with Nonlinear Fuzzy Model
Xiangjie Liu,Ke Xi +1 more
TL;DR: In this paper, a fuzzy model-based feedback-assisted iterative learning control (ILC) is proposed to cope with the repetitive disturbances in a steam-boiler system.
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.
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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.