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Extended Generalised Minimum Variance Multivariable Self-Tuning Control

Wendell Kam, Ming T. Tham, Richard William Jones, Kevin Warwick, A.J. Morris

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Abstract

This paper examines the extension of a well known multivariable self-tuning algorithm to include two important developments: k-incremental and hybrid self-tuning control. The resulting controller is applied to two linear models and a non-linear pilot plant model.

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What this paper is about

This paper examines the extension of a well known multivariable self-tuning algorithm to include two important developments: k-incremental and hybrid self-tuning control. The resulting controller is applied to two linear models and a non-linear pilot plant model.

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Available abstract

This paper examines the extension of a well known multivariable self-tuning algorithm to include two important developments: k-incremental and hybrid self-tuning control. The resulting controller is applied to two linear models and a non-linear pilot plant model.

Key concepts: Multivariable calculus, Self-tuning, Control theory (sociology), Minimum-variance unbiased estimator, Extension (predicate logic), Variance (accounting), Controller (irrigation), Computer science

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