Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences
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Digital controllers for ŠKODA rolling mills

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0003810 ◽

2005 ◽

pp. 31-35 ◽

Cited By ~ 2

Author(s):

Pavel Ettler ◽

František Jirkovský

Keyword(s):

Digital Controllers ◽

Rolling Mills

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H∞ robust generalized minimum variance self-tuning controller

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0003812 ◽

2005 ◽

pp. 43-60

Author(s):

M. J. Grimble

Keyword(s):

Minimum Variance ◽

Self Tuning

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Numerical analysis of diophantine equations

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0003816 ◽

2005 ◽

pp. 128-136 ◽

Cited By ~ 1

Author(s):

Vladimir Kučera ◽

Jan Ježek ◽

Miloš Krupička

Keyword(s):

Numerical Analysis ◽

Diophantine Equations

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Adaptation of LQG control design to engineering needs

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0003808 ◽

2005 ◽

pp. 1-20 ◽

Cited By ~ 2

Author(s):

V. Peterka

Keyword(s):

Control Design ◽

Lqg Control

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Polynomial LQ synthesis for self-tuning control

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0003815 ◽

2005 ◽

pp. 110-127

Author(s):

K J Hunt

Keyword(s):

Self Tuning

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Adaptive control algorithm for time-variant processes

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0003829 ◽

2005 ◽

pp. 321-324

Author(s):

Vladimír Velička

Keyword(s):

Adaptive Control ◽

Control Algorithm ◽

Adaptive Control Algorithm

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Toward higher software effectiveness in the field of adaptive control

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0003818 ◽

2005 ◽

pp. 149-153

Author(s):

Petr Nedoma

Keyword(s):

Adaptive Control

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Intelligent parallel control

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0003825 ◽

2005 ◽

pp. 258-276

Author(s):

Kevin Warwick ◽

Ben Minbashian

Keyword(s):

Parallel Control

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Design of a multivariable self-tuning controller for a class of distributed parameter systems

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0003824 ◽

2005 ◽

pp. 233-257

Author(s):

B. Rohal-Ilkiv ◽

P. Zelinka ◽

R. Richter ◽

I. Sroka ◽

Z. Orszaghova

Keyword(s):

Distributed Parameter Systems ◽

Distributed Parameter ◽

Self Tuning

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Adaptation and robustness

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0003809 ◽

2005 ◽

pp. 21-30

Author(s):

K J Hunt ◽

P J Gawthrop

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Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information SciencesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer-Verlag

Digital controllers for ŠKODA rolling mills

H∞ robust generalized minimum variance self-tuning controller

Numerical analysis of diophantine equations

Adaptation of LQG control design to engineering needs

Polynomial LQ synthesis for self-tuning control

Adaptive control algorithm for time-variant processes

Toward higher software effectiveness in the field of adaptive control

Intelligent parallel control

Design of a multivariable self-tuning controller for a class of distributed parameter systems

Adaptation and robustness

Advanced Methods in Adaptive Control for Industrial Applications - Lecture Notes in Control and Information Sciences
Latest Publications