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Data-Driven Control for Linear Discrete-Time Delay Systems
Juan G. Rueda-Escobedo
*
,
Emilia Fridman
, Johannes Schiffer
*
Corresponding author for this work
School of Electrical Engineering
Brandenburg University of Technology
Research output
:
Contribution to journal
›
Article
›
peer-review
93
Scopus citations
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Dive into the research topics of 'Data-Driven Control for Linear Discrete-Time Delay Systems'. Together they form a unique fingerprint.
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Keyphrases
Data-driven Control
100%
Linear Discrete Time-delay System
100%
Data-centric
50%
Time Delay
50%
Process Data
50%
Model-based Control
50%
Application Time
50%
System Delay
50%
System Complexity
50%
Engineering Application
50%
Control Design
50%
Control Field
50%
Noisy Data
50%
Discrete-time Delayed System
50%
State Feedback Control
50%
Uncertain Delay
50%
Feedback Control Design
50%
Guaranteed Cost
50%
System Stabilization
50%
Data-driven Concepts
50%
Engineering
Control Design
100%
Discrete Time
100%
Time Delay System
100%
Delay Time
33%
Model-Based Control
33%
State Feedback
33%
Delay System
33%
Control Field
33%
Noisy Data
33%
Engineering Application
33%
Feedback Control
33%
Computer Science
discrete-time
100%
time-delay
100%
Conventional Model
33%
State Feedback
33%
Processing Data
33%
Engineering Application
33%
System Complexity
33%
Feedback Control
33%