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Internal and External Stabilization of Linear Systems with Constraints [electronic resource] / by Ali Saberi, Anton A. Stoorvogel, Peddapullaiah Sannuti.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Systems & Control: Foundations & ApplicationsEditor: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2012Descripción: XVI, 837 p. 55 illus., 30 illus. in color. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9780817647872
  • 99780817647872
Tema(s): Formatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD:
  • 519 23
Recursos en línea:
Contenidos:
Preface -- Introduction and Preliminaries -- Internal and External Stability of Nonlinear Systems -- Classical Approaches for Handling Constraints -- Taxonomy of Constraints -- Design Methodologies -- Internal Stabilization of Linear Systems with Constraints -- External L_p Stabilization of Linear Systems with Constraints -- Design Methodologies -- Internal Stabilization of Linear Systems with Constraints -- Beyond L_p Stability -- Achieving Satisfactory Performance with Guaranteed Internal and External Stability -- Additional Constraints on Controller Architecture: Decentralized Stabilization Subject to Constraints -- Conclusions -- Index .
En: Springer eBooksResumen: Linear systems with constraints on inputs and states are ubiquitous. Control of such systems has been a long-time challenge to control engineers and will continue to remain so. Indeed, the challenge of constraints is intense and dauntingly formidable and familiar. This book focuses on the very fundamental and primary goal of providing internal stability as well as external stability in the presence of disturbances and reference inputs. The focus is on both the analysis and design for both continuous- and discrete-time systems. A taxonomy of constraints paves distinct paths showing what is feasible and what is not.  Internal and External Stabilization of Linear Systems with Constraints is an excellent reference for practicing engineers, graduate students, and researchers in control systems theory and design. The book may also serve as an advanced graduate text for a course or a seminar in nonlinear control systems theory and design in applied mathematics or engineering departments. Minimal prerequisites include a first graduate course in state-space methods as well as a first course in control systems design.
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Preface -- Introduction and Preliminaries -- Internal and External Stability of Nonlinear Systems -- Classical Approaches for Handling Constraints -- Taxonomy of Constraints -- Design Methodologies -- Internal Stabilization of Linear Systems with Constraints -- External L_p Stabilization of Linear Systems with Constraints -- Design Methodologies -- Internal Stabilization of Linear Systems with Constraints -- Beyond L_p Stability -- Achieving Satisfactory Performance with Guaranteed Internal and External Stability -- Additional Constraints on Controller Architecture: Decentralized Stabilization Subject to Constraints -- Conclusions -- Index .

Linear systems with constraints on inputs and states are ubiquitous. Control of such systems has been a long-time challenge to control engineers and will continue to remain so. Indeed, the challenge of constraints is intense and dauntingly formidable and familiar. This book focuses on the very fundamental and primary goal of providing internal stability as well as external stability in the presence of disturbances and reference inputs. The focus is on both the analysis and design for both continuous- and discrete-time systems. A taxonomy of constraints paves distinct paths showing what is feasible and what is not.  Internal and External Stabilization of Linear Systems with Constraints is an excellent reference for practicing engineers, graduate students, and researchers in control systems theory and design. The book may also serve as an advanced graduate text for a course or a seminar in nonlinear control systems theory and design in applied mathematics or engineering departments. Minimal prerequisites include a first graduate course in state-space methods as well as a first course in control systems design.

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