Multi Objective Optimization System Designs by Chen Bor Sen (29 results)

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Paperback. Condition: Brand New. 466 pages. 9.18x6.12x9.21 inches. In Stock.

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Paperback. Condition: new. Paperback. This book introduces multi-objective design methods to solve multi-objective optimization problems (MOPs) of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. The MOPs of multiple targets for systems are all transformed into equivalent linear matrix inequality (LMI)-constrained MOPs. Corresponding reverse-order LMI-constrained multi-objective evolution algorithms are introduced to solve LMI-constrained MOPs using MATLAB. All proposed design methods are based on rigorous theoretical results, and their applications are focused on more practical engineering design examples.Features:Discusses multi-objective optimization from an engineers perspectiveContains the theoretical design methods of multi-objective optimization schemesIncludes a wide spectrum of recent research topics in control design, especially for stochastic mean field diffusion problemsCovers practical applications in each chapter, like missile guidance design, economic and financial systems, power control tracking, minimization design in communication, and so forthExplores practical multi-objective optimization design examples in control, signal processing, communication, and cyber-financial systemsThis book is aimed at researchers and graduate students in electrical engineering, control design, and optimization. This book introduces Multi-objective design methods to solve Multi-objective optimization problems of linear/non-linear dynamic systems under intrinsic random fluctuation and external disturbance. All proposed design methods are based on rigorous theoretical results and their applications are focused on practical engineering design example. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Paperback. Condition: new. Paperback. This book introduces multi-objective design methods to solve multi-objective optimization problems (MOPs) of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. The MOPs of multiple targets for systems are all transformed into equivalent linear matrix inequality (LMI)-constrained MOPs. Corresponding reverse-order LMI-constrained multi-objective evolution algorithms are introduced to solve LMI-constrained MOPs using MATLAB. All proposed design methods are based on rigorous theoretical results, and their applications are focused on more practical engineering design examples.Features:Discusses multi-objective optimization from an engineers perspectiveContains the theoretical design methods of multi-objective optimization schemesIncludes a wide spectrum of recent research topics in control design, especially for stochastic mean field diffusion problemsCovers practical applications in each chapter, like missile guidance design, economic and financial systems, power control tracking, minimization design in communication, and so forthExplores practical multi-objective optimization design examples in control, signal processing, communication, and cyber-financial systemsThis book is aimed at researchers and graduate students in electrical engineering, control design, and optimization. This book introduces Multi-objective design methods to solve Multi-objective optimization problems of linear/non-linear dynamic systems under intrinsic random fluctuation and external disturbance. All proposed design methods are based on rigorous theoretical results and their applications are focused on practical engineering design example. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. This book introduces multi-objective design methods to solve multi-objective optimization problems (MOPs) of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. The MOPs of multiple targets for systems are all transformed into equivalent linear matrix inequality (LMI)-constrained MOPs. Corresponding reverse-order LMI-constrained multi-objective evolution algorithms are introduced to solve LMI-constrained MOPs using MATLAB. All proposed design methods are based on rigorous theoretical results, and their applications are focused on more practical engineering design examples.Features:Discusses multi-objective optimization from an engineers perspectiveContains the theoretical design methods of multi-objective optimization schemesIncludes a wide spectrum of recent research topics in control design, especially for stochastic mean field diffusion problemsCovers practical applications in each chapter, like missile guidance design, economic and financial systems, power control tracking, minimization design in communication, and so forthExplores practical multi-objective optimization design examples in control, signal processing, communication, and cyber-financial systemsThis book is aimed at researchers and graduate students in electrical engineering, control design, and optimization. This book introduces Multi-objective design methods to solve Multi-objective optimization problems of linear/non-linear dynamic systems under intrinsic random fluctuation and external disturbance. All proposed design methods are based on rigorous theoretical results and their applications are focused on practical engineering design example. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condition: Neu. Multi-Objective Optimization System Designs and Their Applications | Bor-Sen Chen | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | CRC Press | EAN 9781032422985 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces Multi-objective design methods to solve Multi-objective optimization problems of linear/non-linear dynamic systems under intrinsic random fluctuation and external disturbance. All proposed design methods are based on rigorous theoretical results and their applications are focused on practical engineering design example.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bor-Sen Chen received a B.S. in electrical engineering from the Tatung Institute of Technology, Taipei, Taiwan, in 1970 an M.S. in geophysics from the National Central University, Chungli, Taiwan, in 1973 and a Ph.D. from the Universit.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces multi-objective design methods to solve multi-objective optimization problems (MOPs) of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. The MOPs of multiple targets for systems are all transformed into equivalent linear matrix inequality (LMI)-constrained MOPs. Corresponding reverse-order LMI-constrained multi-objective evolution algorithms are introduced to solve LMI-constrained MOPs using MATLAB®. All proposed design methods are based on rigorous theoretical results, and their applications are focused on more practical engineering design examples.Features:Discusses multi-objective optimization from an engineer's perspectiveContains the theoretical design methods of multi-objective optimization schemesIncludes a wide spectrum of recent research topics in control design, especially for stochastic mean field diffusion problemsCovers practical applications in each chapter, like missile guidance design, economic and financial systems, power control tracking, minimization design in communication, and so forthExplores practical multi-objective optimization design examples in control, signal processing, communication, and cyber-financial systemsThis book is aimed at researchers and graduate students in electrical engineering, control design, and optimization. 468 pp. Englisch.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces multi-objective design methods to solve multi-objective optimization problems (MOPs) of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. The MOPs of multiple targets for systems are all transformed into equivalent linear matrix inequality (LMI)-constrained MOPs. Corresponding reverse-order LMI-constrained multi-objective evolution algorithms are introduced to solve LMI-constrained MOPs using MATLAB®. All proposed design methods are based on rigorous theoretical results, and their applications are focused on more practical engineering design examples.Features:Discusses multi-objective optimization from an engineer's perspectiveContains the theoretical design methods of multi-objective optimization schemesIncludes a wide spectrum of recent research topics in control design, especially for stochastic mean field diffusion problemsCovers practical applications in each chapter, like missile guidance design, economic and financial systems, power control tracking, minimization design in communication, and so forthExplores practical multi-objective optimization design examples in control, signal processing, communication, and cyber-financial systemsThis book is aimed at researchers and graduate students in electrical engineering, control design, and optimization.