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Lifeng Ma – Nanjing University of Science and Technology, China
Zidong Wang – Brunel University, UK
Yuming Bo – Nanjing University of Science and Technology, China
In engineering practice, it is always desirable to design systems capable of meeting performance requirements such as stability, robustness, and reliability. However nonlinear and stochastic systems are more complex by nature, and with the ever–increasing degree of system complexity, multi–objective design with variance constraints has become a key research area.
Variance–Constrained Multi–Objective Stochastic Control and Filtering covers the latest research results and presents the state–of–the–art of control and filtering problems while taking multiple design objectives into consideration. It examines recent advances in control and filtering in the presence of incomplete information and discusses application potential in engineering practice. The reader will also benefit from the introduction of new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
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Description du livre hardcover. Etat : New. Brand new. Ships from Friends bookstore to benefit Beaverton (Oregon) library. N° de réf. du vendeur mon0000017382
Description du livre Etat : New. N° de réf. du vendeur 20982791-n
Description du livre Etat : New. Brand New. N° de réf. du vendeur 1118929497
Description du livre Hardcover. Etat : new. Hardcover. Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomenaEstablishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performanceIncludes case studies of several nonlinear stochastic systemsInvestigates the phenomena of incomplete information, including missing/degraded measurements, actuator failures and sensor saturationsConsiders both time-invariant systems and time-varying systemsExploits newly developed techniques to handle the emerging mathematical and computational challenges Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomena. This book establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781118929490
Description du livre Etat : New. pp. 336. N° de réf. du vendeur 26372386290
Description du livre Gebunden. Etat : New. Lifeng Ma received the Ph.D. degree in Control Science and Engineering in 2010 from Nanjing University of Science and Technology, Nanjing, China. From August 2008 to February 2009, he was a Visiting Scholar in the Department of Information Systems and Compu. N° de réf. du vendeur 31399725
Description du livre Etat : New. N° de réf. du vendeur 20982791-n
Description du livre Etat : New. pp. 336. N° de réf. du vendeur 373659181
Description du livre Etat : New. Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomena. This book establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performance. Series: Wiley Series in Dynamics and Control of Electromechanical Systems. Num Pages: 336 pages. BIC Classification: PBWL; TGB. Category: (P) Professional & Vocational. Dimension: 178 x 250 x 21. Weight in Grams: 640. . 2015. . . . . N° de réf. du vendeur V9781118929490
Description du livre Hardcover. Etat : Brand New. 1st edition. 336 pages. 9.75x7.00x1.00 inches. In Stock. N° de réf. du vendeur 1118929497