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 ArticleDOI
Batch-to-batch control of fed-batch processes using control-affine feedforward neural network
TL;DR: A control strategy for fed-batch processes is proposed based on control affine feed-forward neural network (CAFNN) and iterative learning control (ILC) can be used to improve the process performance from batch to batch.
Journal ArticleDOI
An iterative learning controller for reduction of repetitive runout in disk drives
TL;DR: It is shown that the update law to ensure convergent learning is equivalent to stabilization of a multi-input multi-output system using static output feedback.
Proceedings ArticleDOI
A Norm Optimal Iterative Learning Control framework towards Internet-Distributed Hardware-In-The-Loop simulation
TL;DR: This paper focuses on the effects of delay in a linear time invariant ID-HIL system and presents a Norm Optimal Iterative Learning Control (NO-ILC) based method to improve the fidelity of the integrated system.
Proceedings ArticleDOI
An LMI approach for robust Iterative Learning Control with Quadratic performance criterion
TL;DR: A novel approach is proposed which employs an upper bound of the worst-case error, then formulates a nonconvex quadratic minimization problem to get the update of iterative control inputs.
Journal ArticleDOI
Model-free control of unknown nonlinear systems using an iterative learning concept: theoretical development and experimental validation
Elmira Madadi,Dirk Söffker +1 more
TL;DR: A newly developed adaptive model-free control method using an iterative learning control method based on a robust control design framework to be applied to unknown nonlinear SISO systems is discussed.
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.
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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.