Neuware - Model Predictive Control (MPC) has advanced as a robust method for managing complex dynamic systems, surpassing traditional control strategies in performance and constraint handling. This book explores MPC theory and applications, focusing on robust MPC (RMPC) for systems with uncertainties. It examines three system types: networked systems, stochastic switching systems, and nonlinear hybrid systems. It addresses challenges in networked interventions, Markovian jump systems, and nonlinear systems under communication constraints.� Integrates model predictive control, network-induced constraints, cyber-security issues, and advanced communication protocols� Covers control and state estimation with a focus on dynamic network systems with complex sampling� Considers and models network-induced complexities� Employs several analysis techniques to overcome the recent mathematical/computational difficulties for discrete-time systems� Deals with practical engineering problems for complex dynamic systems with different kinds of scenario-induced complexities or frame-work-induced complexitiesThis book is aimed at graduate students and researchers in networks, signal processing, controls, and dynamic complex systems.

N� de ref. del art�culo 9781041174400

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Model Predictive Control for Complex Dynamic Systems : Analysis and Synthesis
Editor: Taylor & Francis Ltd Jun 2026
Fecha de publicaci�n: 2026
Idioma: Ingl�s
ISBN 10: 1041174403
ISBN 13: 9781041174400
Encuadernaci�n: Buch
Estado: Neu
Dimensiones: 234�mil�metros de ancho por 156 de alto por 16 de largo
Peso: 554 gramos

Acerca de

Sinopsis

Model Predictive Control (MPC) has advanced as a robust method for managing complex dynamic systems, surpassing traditional control strategies in performance and constraint handling. This book explores MPC theory and applications, focusing on robust MPC (RMPC) for systems with uncertainties. It examines three system types: networked systems, stochastic switching systems, and nonlinear hybrid systems. It addresses challenges in networked interventions, Markovian jump systems, and nonlinear systems under communication constraints.

• Integrates model predictive control, network-induced constraints, cyber-security issues, and advanced communication protocols
• Covers control and state estimation with a focus on dynamic network systems with complex sampling
• Considers and models network-induced complexities
• Employs several analysis techniques to overcome the recent mathematical/computational difficulties for discrete-time systems
• Deals with practical engineering problems for complex dynamic systems with different kinds of scenario-induced complexities or frame-work-induced complexities

This book is aimed at graduate students and researchers in networks, signal processing, controls, and dynamic complex systems.

Acerca del autor

Yan Song received the B.Eng. degree in materials science and engineering from Jilin University, Changchun, China, in 2001, the M.Sc. degree in applied mathematics from the University of Electronic Science and Technology of China, Chengdu, China, in 2005, and the Ph.D. degree in control theory and control engineering from Shanghai Jiao Tong University, Shanghai, China, in 2013. From December 2016 to December 2017, she was a Visiting Scholar with the Department of Computer Science, Brunel University London, Uxbridge, U.K.

She is currently a Professor with the Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China. Her research interests include model predictive control, machine learning, and data analysis. She has published over 120 papers in refereed international journals. She is a Distinguished Member of the Chinese Computer Federation (CCF) and a Senior Member of the Chinese Association of Automation (CAA). She is serving as an Associate Editor for International Journal of Systems Science.

Zidong Wang is a Professor of Dynamical Systems and Computing at Brunel University London, West London, United Kingdom. He was born in 1966 in Yangzhou, Jiangsu, China. He received the BSc degree in Mathematics in 1986 from Suzhou University, Suzhou, the MSc degree in Applied Mathematics in 1990 and the PhD degree in Electrical and Computer Engineering in 1994, both from Nanjing University of Science and Technology, Nanjing.

He was appointed as Lecturer in 1990 and Associate Professor in 1994 at Nanjing University of Science and Technology. From January 1997 to December 1998, he was an Alexander von Humboldt research fellow with the Control Engineering Laboratory, Ruhr-University Bochum, Germany. From January 1999 to February 2001, he was a Lecturer with the Department of Mathematics, University of Kaiserslautern, Germany. From March 2001 to July 2002, he was a University Senior Research Fellow with the School of Mathematical and Information Sciences, Coventry University, U.K. In August 2002, he joined the Department of Computer Science, Brunel University London, U.K., as a Lecturer, and was then promoted to a Reader in September 2003 and to a Chair Professor in July 2007.

Professor Wang’s research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. He has published more than 600 papers in refereed international journals. He was awarded the Humboldt research fellowship in 1996 from Alexander von Humboldt Foundation, the JSPS Research Fellowship in 1998 from Japan Society for the Promotion of Science, and the William Mong Visiting Research Fellowship in 2002 from the University of Hong Kong. He was a recipient of the State Natural Science Award from the State Council of China in 2014 and the Outstanding Science and Technology Development Awards (once in 2005 and twice in 1997) from the National Education Committee of China.

Professor Wang is currently serving or has served as the Editor-in-Chief for International Journal of Systems Science, the Editor-in-Chief for Neurocomputing, Executive Editor for Systems Science and Control Engineering, Subject Editor for Journal of The Franklin Institute, an Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Systems, Man, and Cybernetics - Systems, Asian Journal of Control, Science China Information Sciences, IEEE/CAA Journal of Automatica Sinica, Control Theory and Technology, an Action Editor for Neural Networks, an Editorial Board Member for Information Fusion, IET Control Theory & Applications, Complexity, International Journal of Systems Science, Neurocomputing, International Journal of General Systems, Studies in Autonomic, Data-driven and Industrial Computing, and a member of the Conference Editorial Board for the IEEE Control Systems Society. He served as an Associate Editor for IEEE Transactions on Neural Networks, IEEE Transactions on Systems, Man, and Cybernetics - Part C, IEEE Transactions on Signal Processing, Circuits, Systems & Signal Processing, and an Editorial Board Member for International Journal of Computer Mathematics.

Professor Wang is a Member of the Academia Europaea (section of Physics and Engineering Sciences), a Fellow of the IEEE (for contributions to networked control and complex networks), a Fellow of the Chinese Association of Automation, a Member of the IEEE Press Editorial Board, a Member of the EPSRC Peer Review College of the UK, a Fellow of the Royal Statistical Society, a member of program committee for many international conferences, and a very active reviewer for many international journals. He was nominated an appreciated reviewer for IEEE Transactions on Signal Processing in 2006-2008 and 2011, an appreciated reviewer for IEEE Transactions on Intelligent Transportation Systems in 2008, an outstanding reviewer for IEEE Transactions on Automatic Control in 2004 and for the journal Automatica in 2000.

Bin Zhang received the B.Sc. degree in mathematics and applied mathematics in 2014 from Yantai University, Yantai, China, the M.Sc. degree in statistics and the Ph.D. degree in control science and control engineering from the University of Shanghai for Science and Technology, Shanghai, China, in 2017 and 2022, respectively.

From Mar. 2022 to Aug. 2024, he was a Post-doctoral Research Fellow with the Department of Automation, Shanghai Jiao Tong University, Shanghai, China. He is currently with the School of Electrical Engineering, Shanghai Dianji University, Shanghai, China. His current research interests include model predictive control, stochastic systems and Cyber-physical systems. Dr. Zhang is currently a reviewer for some international journals, including Automatica, IEEE-TAC, IEEE/CAA Journal of Automatica Sinica, etc.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Das Unternehmen AHA-BUCH GmbH: Seit der Gr�ndung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisg�nstig wie m�glich ihren B�cherwunsch zu erf�llen. Unsere Firma besch�ftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine W�nsche! Auf �ber 3700 m2 Fl�che haben wir �ber 100.000 B�cher, Modernes Antiquariat und Spiele auf Lager.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

AHA-BUCH GmbH
Garlebsen 48, Einbeck, 37574, Germany

Condiciones de venta y env�o

Condiciones de venta

T�rminos y Condiciones Generales e Informaci�n del Cliente / Pol�tica de Privacidad

I. T�rminos y Condiciones Generales

� 1 Disposiciones b�sicas

(1)Los siguientes t�rminos y condiciones se aplican a todos los contratos que celebre con nosotros como proveedor (AHA-BUCH GmbH) a trav�s de las plataformas de Internet AbeBooks y/o ZVAB. A menos que se acuerde lo contrario, se objetar� la inclusi�n de cualquiera de sus propios t�rminos y condiciones utilizados por usted.
(2)Un consumidor en el sentid...

M�s informaci�n

Derecho al desistimiento

Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona f�sica que act�e con fines ajenos a su actividad comercial, empresarial, oficio o profesi�n.

Informaci�n sobre el derecho de desistimiento

Derecho legal de desistimiento

Tiene derecho a rescindir este contrato en un plazo de 14 d�as sin dar ning�n motivo.

El periodo de desistimiento vencer� a los 14 d�as desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesi�n f�sica del �ltimo bien o del �ltimo lote o pieza.

Para ejercer el derecho de desistimiento, complete de forma electr�nica y env�e una declaraci�n clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a trav�s de un soporte duradero (por ejemplo, por correo electr�nico).

Para cumplir con el plazo de desistimiento, basta con que env�e su comunicaci�n relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.

Efectos del desistimiento

Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de env�o (excepto los gastos adicionales que surjan si elige un tipo de env�o que no sea el tipo de env�o est�ndar m�s econ�mico que ofrecemos).

Podemos hacer una deducci�n del reembolso por la p�rdida de valor de cualquier bien suministrado, si la p�rdida es el resultado de una manipulaci�n innecesaria por su parte.

Efectuaremos el reembolso sin demoras indebidas y, a m�s tardar, 14 d�as despu�s de que se nos informe de su decisi�n de rescindir este contrato.

Efectuaremos el reembolso utilizando el mismo medio de pago que utiliz� para la transacci�n inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrir� en ning�n cargo como resultado de dicho reembolso.

Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.

Deber� devolver los bienes o entregarlos a AHA-BUCH GmbH, Einbeck, Germany, sin demoras indebidas y, en cualquier caso, en un plazo m�ximo de 14 d�as a partir del d�a en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercanc�a antes de que venza el periodo de 14 d�as. Tendr� que asumir los gastos directos de devoluci�n de los bienes. Usted solo es responsable de la disminuci�n del valor de los bienes como resultado de una manipulaci�n distinta a la necesaria para establecer la naturaleza, las caracter�sticas y el funcionamiento de los bienes.

Excepciones al derecho de desistimiento

El derecho de desistimiento no se aplica a lo siguiente:

La entrega de peri�dicos, diarios o revistas, con la excepci�n de los contratos de suscripci�n; y
El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, acept� que pod�amos empezar a entregarlo y que no podr�a desistir una vez iniciada la entrega.

Condiciones de env�o

Enviamos su pedido despu�s de recibirlos
para art�culos disponibles las �ltimas 24 horas,
para art�culos con suministro nocturno a m�s tardar 48 horas.
En caso de que necesitemos pedir un art�culo a nuestro proveedor, nuestro tiempo de env�o depende de la fecha de recepci�n de los art�culos, pero los art�culos se enviar�n el mismo d�a.

Nuestro objetivo es enviar los art�culos pedidos de la manera m�s r�pida, pero tambi�n m�s eficiente y segura a nuestros clientes.

Tarifas de env�o de Alemania a Estados Unidos de America

Tarifas de env�o de Alemania a Estados Unidos de America
Cantidad del pedido	De 30 a 40 d�as h�biles	De 7 a 14 d�as h�biles
Primer art�culo	EUR 62.77	EUR 72.77

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.

Informaci�n detallada sobre el vendedor