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1973•Proceedings of the Institution of Electrical EngineersRequires access

Output-prediction equation with minimum-time control of linear multivariable systems

D.J. Sandoz, Peter A. Walker

Open publisher page 7 citations

Abstract

The paper develops an equation for the prediction of the output of a linear time-invariant multivariable system that is based on process past inputs and outputs. To demonstrate that the output-prediction equation is a realistic model of process dynamics, a derivation is included to establish the inputs necessary to generate a minimum-time deadbeat response. A computer simulation study illustrates the applications to a 4th-order process.

About this research paper

What this paper is about

The paper develops an equation for the prediction of the output of a linear time-invariant multivariable system that is based on process past inputs and outputs. To demonstrate that the output-prediction equation is a realistic model of process dynamics, a derivation is included to establish the inputs necessary to generate a minimum-time deadbeat response. A computer simulation study illustrates the applications to a 4th-order process.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper develops an equation for the prediction of the output of a linear time-invariant multivariable system that is based on process past inputs and outputs. To demonstrate that the output-prediction equation is a realistic model of process dynamics, a derivation is included to establish the inputs necessary to generate a minimum-time deadbeat response. A computer simulation study illustrates the applications to a 4th-order process.

Key concepts: Multivariable calculus, LTI system theory, Control theory (sociology), Process (computing), Computer science, Invariant (physics), Process control, Linear system

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