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MINIMUM VARIANCE CONTROL OF DISCRETE TIME MULTIVARIABLE ARMAX SYSTEMS.
U. Shaked
*
, P. R. Kumar
*
Corresponding author for this work
School of Electrical Engineering
Tel Aviv University
Research output
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Contribution to journal
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Article
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peer-review
9
Scopus citations
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Dive into the research topics of 'MINIMUM VARIANCE CONTROL OF DISCRETE TIME MULTIVARIABLE ARMAX SYSTEMS.'. Together they form a unique fingerprint.
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Keyphrases
ARMAX
100%
Control Law
50%
Delay Structures
50%
Discrete-time
100%
General Delay
50%
Input Vector
50%
Minimum Variance Control
100%
Multivariable
100%
Non-minimum Phase
50%
Output Process
50%
Output Vector
50%
Phase Transfer
50%
Stochastic Systems
50%
System Stability
50%
Engineering
Control Law
100%
Discrete Time
100%
Input Vector
100%
Output Vector
100%
Process Output
100%
Stochastic System
100%
Systems Stability
100%
Transfer Function
100%
Mathematics
Discrete Time
100%
Minimizes
50%
Output Process
50%
Stochastic System
50%
Transfer Function
50%
Variance
100%
Chemical Engineering
Stochastic System
100%