Journal ArticleDOI
Optimal self-tuning control systems: Theory and application: Part 1 Introduction and controller design
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TLDR
The emphasis is on the design, or more correctly, the synthesis, of the controller, and classes of optimal controllers each dependent on a different cost function are discussed.Abstract:
Self- tuning regulators and controllers have proven to be a useful industrial control device. The self- tuning theory upon which these devices are based comprises the two aspects: controller design and system identification. In this first paper the emphasis is on the design, or more correctly, the synthesis, of the controller. In particular, classes of optimal controllers each dependent on a different cost function are discussed. The two most popular controllers- the minimum variance and the generalised minimum variance control laws - are derived in this first part.read more
Citations
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A Transputer Based Adaptive Control System
TL;DR: In this paper, the authors considered the application of a multiple processor system to adaptive control and proposed an adaptive system based on the Inmos T800 floating point microprocessor, which is structured in three levels: adaptive controller, parameter estimator and system supervisor.
Dissertation
Optimal control, self-tuning techniques and their application to dynamically positioned vessels
TL;DR: In this article, a self-tuning Kalman filter is proposed for low frequency ship motions and wave motions, followed by the development of an explicit multivariable and weighted minimum variance controller.
Journal ArticleDOI
Self-Tuning Multivariable Tracking Control for an Induction Motor
TL;DR: In this article, a modified self-tuning multivariable controller for an induction motor is presented, which is able to follow a preselected speed or position track even under load and/or parameter variations.
Journal ArticleDOI
Self-Tuning Adaptive Control for Field-Oriented Controlled Induction Motors - a Simulation Study
TL;DR: In this paper, a self-tuning controller is developed to enable the induction motor to follow accurately preselected, time varying speed-and position-tracks, in order to reduce the impact of the nonlinearities of the inductive motor on the performance of the drive system.
References
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Journal ArticleDOI
On self tuning regulators
TL;DR: In this paper, the problem of controlling a system with constant but unknown parameters is considered and an algorithm obtained by combining a least squares estimator with a minimum variance regulator computed from the estimated model is analyzed.
Journal ArticleDOI
Analysis of recursive stochastic algorithms
TL;DR: It is shown how a deterministic differential equation can be associated with the algorithm and examples of applications of the results to problems in identification and adaptive control.
Journal ArticleDOI
Self-tuning control
David Clarke,Peter J. Gawthrop +1 more
TL;DR: The closed-loop properties of various classes of self tuner, convergence concepts and results, and some of the technical problems involved with implementing self tuners on small computers or microprocessors are discussed.
Journal ArticleDOI
Paper: Theory and applications of self-tuning regulators
TL;DR: The regulator algorithms, their theory and industrial applications are reviewed and the major ideas are covered but detailed analysis is given elsewhere.
Journal ArticleDOI
Pole assignment self-tuning regulator
TL;DR: The pole-assignment self tuner as discussed by the authors is a self-tuning algorithm that uses a pole assignment method which is non-optimal, but is robust to unknown, possibly varying, transport delays.