Vista normal Vista MARC Vista ISBD

Control of Complex Systems [recurso electrónico] : Structural Constraints and Uncertainty / by Aleksandar Zecevic, Dragoslav D. Siljak.

Por: Zecevic, Aleksandar [author.]Colaborador(es): Siljak, Dragoslav D [author.] | SpringerLink (Online service)Tipo de material: Texto

TextoSeries Communications and Control EngineeringEditor: Boston, MA : Springer US, 2010Descripción: XIII, 221p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781441912169Tema(s): Engineering | Systems theory | Vibration | Engineering | Control, Robotics, Mechatronics | Vibration, Dynamical Systems, Control | Systems Theory, ControlFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 629.8 Clasificación LoC:TJ210.2-211.495TJ163.12Recursos en línea: Libro electrónico Texto

Contenidos:

Decompositions of Large-Scale Systems -- Information Structure Constraints -- Algebraic Constraints on the Gain Matrix -- Regions of Attraction -- Parametric Stability -- Future Directions: Dynamic Graphs.

En: Springer eBooksResumen: Control of Complex Systems: Structural Constraints and Uncertainty focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potential design methods, most which use Linear Matrix Inequalities (LMIs), which have become a popular design tool over the past two decades. Authors Aleksandar I. Zecevic and Dragoslav D. Siljak use their years of experience in the control field to also: Address the issues of large-scale systems as they relate to robust control and linear matrix inequalities Discuss a new approach to applying standard LMI techniques to large-scale systems, combining graphic-theoretic decomposition techniques with appropriate low-rank numerical approximations and dramatically reducing the computational effort Providing numerous examples and a wide variety of applications, ranging from electric power systems and nonlinear circuits to mechanical problems and dynamic Boolean networks Control of Complex Systems: Structural Constraints and Uncertainty will appeal to practicing engineers, researchers and students working in control design and other related areas.

Existencias ( 1 )
Notas de título ( 3 )

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras
Libro Electrónico	Biblioteca Electrónica	Colección de Libros Electrónicos	TJ210.2 -211.495 (Browse shelf(Abre debajo))	1	No para préstamo		371282-2001

Navegando Biblioteca Electrónica Estantes, Código de colección: Colección de Libros Electrónicos Cerrar el navegador de estanterías (Oculta el navegador de estanterías)

Previo								Siguiente
Previo	TJ210.2 -211.495 Robust Control of Robots	TJ210.2 -211.495 Piezoelectric-Based Vibration Control	TJ210.2 -211.495 Parallel Robotic Machine Tools	TJ210.2 -211.495 Control of Complex Systems	TJ210.2 -211.495 Efficient Modeling and Control of Large-Scale Systems	TJ210.2 -211.495 Fault Detection and Isolation	TJ210.2 -211.495 Machine Tool Vibrations and Cutting Dynamics	Siguiente

Control of Complex Systems: Structural Constraints and Uncertainty focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potential design methods, most which use Linear Matrix Inequalities (LMIs), which have become a popular design tool over the past two decades. Authors Aleksandar I. Zecevic and Dragoslav D. Siljak use their years of experience in the control field to also: Address the issues of large-scale systems as they relate to robust control and linear matrix inequalities Discuss a new approach to applying standard LMI techniques to large-scale systems, combining graphic-theoretic decomposition techniques with appropriate low-rank numerical approximations and dramatically reducing the computational effort Providing numerous examples and a wide variety of applications, ranging from electric power systems and nonlinear circuits to mechanical problems and dynamic Boolean networks Control of Complex Systems: Structural Constraints and Uncertainty will appeal to practicing engineers, researchers and students working in control design and other related areas.