Robust controller design using normalized coprime factor plant design

This monograph concerns the design of feedback controllers for multivariable linear dynamic systems. The particular approach is to consider a coprime factor description of the plant's transfer function and to represent a family of systems by perturbing the numerator and denominator. The design...

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Detalles Bibliográficos
Auteurs principaux: McFarlane, Duncan, Glover, Keith, 1946- (Auteur)
Formato: Livre numérique
Idioma:Anglais
Publicado: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Series:Lecture notes in control and information sciences 138
Sujets:
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Edition sous un autre format:• Robust controller design using normalized coprime factor plant design, D.C. McFarlane, K. Glover, Berlin, Springer-Verlag, 1990, 1 vol. (X-206 p.), Lecture notes in control and information sciences, 0-387-51851-7
• Robust Controller Design Using Normalized Coprime Factor Plant Descriptions, Texte imprimé, 9783662169582
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505 0 |a Preliminaries -- Robust stabilization of uncertain systems -- Robust stabilization of normalized coprime factor plant descriptions -- Reduced order controller design -- A loop shaping design procedure -- Design examples. 
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520 |a This monograph concerns the design of feedback controllers for multivariable linear dynamic systems. The particular approach is to consider a coprime factor description of the plant's transfer function and to represent a family of systems by perturbing the numerator and denominator. The design of controllers to robustly stabilize such a family is posed as an H? optimization problem and some explicit solutions are obtained. Similarly, procedures for reduced order modelling and controller design are derived. Finally, the results are exploited to give a systematic loop shaping control system design procedure that is assessed on several aerospace examples. The book will be appropriate for advanced undergraduate or graduate classes requiring only a first course in state-space methods. It also gives a good introduction to multivariable control and the use of H? methods. 
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