9781032785141 - classical and modern optimization techniques applied to control and modeling de precup, radu-emil; roman, raul-cristian; hedrea, elena-lorena; szedlak-stinean, alexandra-iulia; zamfirache, iuliu alexandru (13 resultados)
Classical and Modern Optimization Techniques Applied to Control and Modeling
Precup, Radu-Emil; Roman, Raul-Cristian; Hedrea, Elena-Lorena; Szedlak-Stinean, Alexandra-Iulia; Zamfirache, Iuliu Alexandru
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Classical and Modern Optimization Techniques Applied to Control and Modeling
Precup, Radu-Emil; Roman, Raul-Cristian; Hedrea, Elena-Lorena; Szedlak-Stinean, Alexandra-Iulia; Zamfirache, Iuliu Alexandru
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Classical and Modern Optimization Techniques Applied to Control and Modeling
Precup, Radu-Emil; Roman, Raul-Cristian; Hedrea, Elena-Lorena; Szedlak-Stinean, Alexandra-Iulia; Zamfirache, Iuliu Alexandru
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Classical and Modern Optimization Techniques Applied to Control and Modeling
Precup, Radu-Emil; Roman, Raul-Cristian; Hedrea, Elena-Lorena; Szedlak-Stinean, Alexandra-Iulia; Zamfirache, Iuliu Alexandru
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Paperback. Condición: Brand New. 354 pages. 6.14x0.75x9.21 inches. In Stock.
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dr. Radu-Emil Precup is a professor with the Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania, and Senior Researcher (CS I) and the Head of the Data Science and Engineering Laboratory of the .
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Neuware - The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower cran…e systems and other representative applications.Classical and Modern Optimization Techniques Applied to Control and Modeling combines classical and modern approaches to optimization, based on the authors' experience in the field, and presents in a unified structure the essential aspects of optimization in control and modeling from a control engineer's point of view. It covers linear and nonlinear controllers, and neural networks based on reinforcement learning are considered and analyzed because of the need to reduce the complexity of the controllers and their design so that they can be practical to implement as low-cost automation solutions. The chapters are designed to quickly make the concepts of optimization, control, reinforcement learning, and neural networks understandable to readers with limited experience.This book is intended for a broad audience, including undergraduate and graduate students, engineers (designers, practitioners, and researchers), and anyone facing challenging control problems.
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Paperback. Condición: new. Paperback. The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower crane… systems and other representative applications.Classical and Modern Optimization Techniques Applied to Control and Modeling combines classical and modern approaches to optimization, based on the authors experience in the field, and presents in a unified structure the essential aspects of optimization in control and modeling from a control engineers point of view. It covers linear and nonlinear controllers, and neural networks based on reinforcement learning are considered and analyzed because of the need to reduce the complexity of the controllers and their design so that they can be practical to implement as low-cost automation solutions. The chapters are designed to quickly make the concepts of optimization, control, reinforcement learning, and neural networks understandable to readers with limited experience.This book is intended for a broad audience, including undergraduate and graduate students, engineers (designers, practitioners, and researchers), and anyone facing challenging control problems. The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower crane systems and other representative applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Classical and Modern Optimization Techniques Applied to Control and Modeling
Precup, Radu-Emil; Roman, Raul-Cristian; Hedrea, Elena-Lorena; Szedlak-Stinean, Alexandra-Iulia; Zamfirache, Iuliu Alexandru
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Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Paperback. Condición: new. Paperback. The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower crane… systems and other representative applications.Classical and Modern Optimization Techniques Applied to Control and Modeling combines classical and modern approaches to optimization, based on the authors experience in the field, and presents in a unified structure the essential aspects of optimization in control and modeling from a control engineers point of view. It covers linear and nonlinear controllers, and neural networks based on reinforcement learning are considered and analyzed because of the need to reduce the complexity of the controllers and their design so that they can be practical to implement as low-cost automation solutions. The chapters are designed to quickly make the concepts of optimization, control, reinforcement learning, and neural networks understandable to readers with limited experience.This book is intended for a broad audience, including undergraduate and graduate students, engineers (designers, practitioners, and researchers), and anyone facing challenging control problems. The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower crane systems and other representative applications. 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.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 90,38
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Paperback. Condición: new. Paperback. The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower crane… systems and other representative applications.Classical and Modern Optimization Techniques Applied to Control and Modeling combines classical and modern approaches to optimization, based on the authors experience in the field, and presents in a unified structure the essential aspects of optimization in control and modeling from a control engineers point of view. It covers linear and nonlinear controllers, and neural networks based on reinforcement learning are considered and analyzed because of the need to reduce the complexity of the controllers and their design so that they can be practical to implement as low-cost automation solutions. The chapters are designed to quickly make the concepts of optimization, control, reinforcement learning, and neural networks understandable to readers with limited experience.This book is intended for a broad audience, including undergraduate and graduate students, engineers (designers, practitioners, and researchers), and anyone facing challenging control problems. The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower crane systems and other representative applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
