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Edward J. Davison

Researcher at University of Toronto

Publications -  371
Citations -  13694

Edward J. Davison is an academic researcher from University of Toronto. The author has contributed to research in topics: Control theory & Servomechanism. The author has an hindex of 53, co-authored 371 publications receiving 13248 citations. Previous affiliations of Edward J. Davison include University of California, Berkeley.

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Journal ArticleDOI

A nonminimum phase index and its application to interacting multivariable control systems

TL;DR: A nonminimum phase index is defined for a linear time invariant multivariable system to give a measure of the degree of difficulty of stabilizing the system when two or more control systems are applied simultaneously to the system.
Proceedings ArticleDOI

Control of unknown systems using switching controllers: an experimental study

TL;DR: In this paper, the problem of implementing the Miller-Davison (1989) self-tuning integral robust servomechanism for the case of constant references and disturbances is considered and examined using an experimental multi-input multi-output apparatus; cases involving both known and unknown estimates of the steady state gain matrix T are considered.
Book ChapterDOI

Cooperative Control of Large Systems

TL;DR: This paper gives a review of typical example systems for the case of “ fish-like” objects interacting in water and analyzing the behaviour of intestinal slow-wave patterns which occur in the human body.
Journal ArticleDOI

Minimization of transmission cost in decentralized control systems

TL;DR: In this paper, the problem of stabilizing a linear time-invariant multivariable system by using local feedback controllers and some limited information exchange among local stations is solved.
Journal ArticleDOI

The Multivariable Servomechanism Problem for Positive LTI Systems

TL;DR: In this technical note, it is shown that in general the MIMO servomechanism problem for positive systems is not solvable, but is solvable for various classes of MIMo systems, and for the class of SISO systems in which the disturbances are small compared to the tracking signal.