Optimal Linear Controller Design for Periodic Inputs

Optimal Linear Controller Design for Periodic Inputs proposes a general design methodology for linear controllers facing periodic inputs which applies to all feedforward control, estimated disturbance feedback control, repetitive control and feedback control. The design methodology proposed is able...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Pipeleers, Goele (Συγγραφέας), Demeulenaere, Bram (Συγγραφέας), Swevers, Jan (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2009.
Σειρά:Lecture Notes in Control and Information Sciences, 394
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Optimal Linear Controller Design for Periodic Inputs  |h [electronic resource] /  |c by Goele Pipeleers, Bram Demeulenaere, Jan Swevers. 
264 1 |a London :  |b Springer London,  |c 2009. 
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490 1 |a Lecture Notes in Control and Information Sciences,  |x 0170-8643 ;  |v 394 
505 0 |a Design Methodology for Controllers Facing Periodic Inputs -- Application to Feedforward Control -- Application to Estimated Disturbance Feedback Control -- Application to Repetitive Control -- Application to Feedback Control -- Experimental Validation on an Active Air Bearing Setup -- Conclusions. 
520 |a Optimal Linear Controller Design for Periodic Inputs proposes a general design methodology for linear controllers facing periodic inputs which applies to all feedforward control, estimated disturbance feedback control, repetitive control and feedback control. The design methodology proposed is able to reproduce and outperform the major current design approaches, where this superior performance stems from the following properties: uncertainty on the input period is explicitly accounted for, periodic performance being traded-off against conflicting design objectives and controller design being translated into a convex optimization problem, guaranteeing the efficient computation of its global optimum. The potential of the design methodology is illustrated by both numerical and experimental results. 
650 0 |a Engineering. 
650 0 |a System theory. 
650 0 |a Control engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Control. 
650 2 4 |a Systems Theory, Control. 
700 1 |a Demeulenaere, Bram.  |e author. 
700 1 |a Swevers, Jan.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781848829749 
830 0 |a Lecture Notes in Control and Information Sciences,  |x 0170-8643 ;  |v 394 
856 4 0 |u http://dx.doi.org/10.1007/978-1-84882-975-6  |z Full Text via HEAL-Link 
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950 |a Engineering (Springer-11647)