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Variance-Constrained Multi-Objective Stochastic Control and Filtering
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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Descripción hardcover. Condición: New. Brand new. Ships from Friends bookstore to benefit Beaverton (Oregon) library. Nº de ref. del artículo: mon0000017382
Descripción Condición: New. Nº de ref. del artículo: 20982791-n
Descripción Condición: New. Brand New. Nº de ref. del artículo: 1118929497
Descripción Hardcover. Condición: 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. Nº de ref. del artículo: 9781118929490
Descripción Condición: New. pp. 336. Nº de ref. del artículo: 26372386290
Descripción Gebunden. Condición: 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. Nº de ref. del artículo: 31399725
Descripción Condición: New. Nº de ref. del artículo: 20982791-n
Descripción Condición: New. pp. 336. Nº de ref. del artículo: 373659181
Descripción Condición: 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. . . . . Nº de ref. del artículo: V9781118929490
Descripción Hardcover. Condición: Brand New. 1st edition. 336 pages. 9.75x7.00x1.00 inches. In Stock. Nº de ref. del artículo: 1118929497