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Repetitive control system: a new type servo system for periodic exogenous signals

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TLDR
In this article, a control scheme called repetitive control is proposed, in which the controlled variables follow periodic reference commands, and a high-accuracy asymptotic tracking property is achieved by implementing a model that generates the periodic signals of period L into the closed-loop system.
Abstract
A control scheme called repetitive control is proposed, in which the controlled variables follow periodic reference commands. A high-accuracy asymptotic tracking property is achieved by implementing a model that generates the periodic signals of period L into the closed-loop system. Sufficient conditions for the stability of repetitive control systems and modified repetitive control systems are derived by applying the small-gain theorem and the stability theorem for time-lag systems. Synthesis algorithms are presented by both the state-space approach and the factorization approach. In the former approach, the technique of the Kalman filter and perfect regulation is utilized, while coprime factorization over the matrix ring of proper stable rational functions and the solution of the Hankel norm approximation are used in the latter one. >

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Proceedings ArticleDOI

A review of scanning methods and control implications for scanning probe microscopy

TL;DR: It is concluded that the most suitable currently known method for high-speed or video-rate AFM imaging is sinusoidal raster scanning, which significantly outperforms the raster, spiral, and Lissajous methods whilst being the simplest to implement.
Journal ArticleDOI

Smith predictor-based multiple periodic disturbance compensation for long dead-time processes

TL;DR: A multiple periodic disturbance rejection is proposed under the Smith predictor configuration for processes with long dead-time, where one feedback loop is added to compensate periodic disturbance while retaining the advantage of theSmith predictor.
Proceedings ArticleDOI

Learning based nonlinear internal model control

TL;DR: A learning based nonlinear internal model control approach for nonlinear dynamic systems with non-parametric uncertainties, with the help of composite energy function, where a robust feedback control is integrated with the learning.
Proceedings ArticleDOI

Extended discrete-time prototype repetitive controllers and its application

TL;DR: In this paper, a discrete-time repetitive control system for a two-axis positioning table is presented. And the proposed controllers can guarantee faster convergence of the controlled error to zero than the previous ones for desired outputs and disturbances with a given period.
References
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Journal ArticleDOI

Bettering Operation of Robots by Learning

TL;DR: A betterment process for the operation of a mechanical robot in a sense that it betters the nextoperation of a robot by using the previous operation's data is proposed.
Journal ArticleDOI

All optimal Hankel-norm approximations of linear multivariable systems and their L, ∞ -error bounds†

TL;DR: In this paper, a complete characterization of all rational functions that minimize the Hankel-norm is derived, and the solution to the latter problem is via results on balanced realizations, all-pass functions and the inertia of matrices, all in terms of the solutions to Lyapunov equations.
Journal ArticleDOI

The internal model principle for linear multivariable regulators

TL;DR: In this paper, structural stability of linear multivariable regulators is defined and necessary and sufficient structural criteria are obtained for linear multi-variable regulators which retain loop stability and output regulation in the presence of small perturbations, of specified types, in system parameters.
Journal ArticleDOI

High Accuracy Control of a Proton Synchrotron Magnet Power Supply

TL;DR: In this article, a linear feedback control is applied in high accuracy tracking of a periodic reference input by locating the imaginary poles of the controller's transfer function to suit the period of the input.
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