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Investigation of multivariable systems

✍ Scribed by Basil Stephanis; Basil K. Papadopoulos; Nicholas Elias

Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
778 KB
Volume
18
Category
Article
ISSN
0307-904X

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πŸ“œ SIMILAR VOLUMES

The design of linear multivariable syste
The design of linear multivariable systems
✍ David Q. Mayne πŸ“‚ Article πŸ“… 1973 πŸ› Elsevier Science 🌐 English βš– 518 KB

A satisfactory closed-loop linear system may be obtained via a sequence of single-loop designs, in which classical techniques such as Nyquist diagrams, root-loci etc. are employed. Summary--This paper describes a computer-aided procedure whereby a succession of single-loop designs, using Nyquist lo

Feedback invariants of linear multivaria
Feedback invariants of linear multivariable systems
✍ W.M. Wonham; A.S. Morse πŸ“‚ Article πŸ“… 1972 πŸ› Elsevier Science 🌐 English βš– 649 KB

## Feedback Invariants of Linear Multivariable Systems* Invariants de r6action des syst&nes lin6aires h variables multiples. Invarianten der Zustandsrtickftihrung bei linearen Mehrgr6Bensystemen l(IHBapI, IaHTbI o~paYHO~ CB~I314 MHOFOKOOp~I4HaTHblX YlI4HeHHblX CriCTeM

Control of multivariable systems contain
Control of multivariable systems containing time delays using a multivariable smith predictor
✍ G. Alevisakis; D.E. Seborg πŸ“‚ Article πŸ“… 1974 πŸ› Elsevier Science 🌐 English βš– 636 KB

A multivariable version of the classical Smith predictor is applied to a double effect evaporator containing time delays in the control variables and some of the output variables. As in the classical approach, the multivariable Smith predictor eliminates time delays from the characteristic equation

Analysis of second-order multivariable l
Analysis of second-order multivariable linear systems
✍ Z. Trzaska πŸ“‚ Article πŸ“… 1990 πŸ› Elsevier Science 🌐 English βš– 475 KB

m~thod,s are diScUs.Sed,fkw the sohJtion of' second-order state-rariuhie equations and their upplicution to the stud)> of'dynamical multicariuhle lineur s!~stems. T\CYI d$&wnt approaches are presented. A mqjor one is based on the matrix Lapluce tramform and rmtris polynoniial ~fuc'torization. Serwul