lovett teems (6 resultados)

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Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Modeling and simulation have proved over the years to provide insight into system behavior and design. Traditionally, models are designed to only support deterministic inputs and parameters. This forces the user to provide an exact set of operating conditions to run the simulation. Greater insight into the system''s behavior can be achieved by allowing inputs and parameters to reflect the user''s uncertainty. The Monte Carlo method is a common yet costly approach to generating these desired statistical results. This book introduces an alternative approach by applying polynomial chaos theory to an established circuit modeling method. This results in a general uncertainty-based modeling and simulation framework which yields full system statistics after one simulation run. Linear and non- linear systems are discussed using examples from basic circuits to power converters complete with closed-loop control systems. This book will be useful to anyone interested in modeling and simulation, advanced numerical methods or uncertainty propagation.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modeling and simulation have proved over the years to provide insight into system behavior and design. Traditionally, models are designed to only support deterministic inputs and parameters. This forces the user to provide an exact set of operating conditions to run the simulation. Greater insight into the system's behavior can be achieved by allowing inputs and parameters to reflect the user's uncertainty. The Monte Carlo method is a common yet costly approach to generating these desired statistical results. This book introduces an alternative approach by applying polynomial chaos theory to an established circuit modeling method. This results in a general uncertainty-based modeling and simulation framework which yields full system statistics after one simulation run. Linear and non- linear systems are discussed using examples from basic circuits to power converters complete with closed-loop control systems. This book will be useful to anyone interested in modeling and simulation, advanced numerical methods or uncertainty propagation. 104 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lovett TeemsTeems E. Lovett, PhD: Studied Electrical Engineering at the University of South Carolina. He is currently a Space Exploration Software Simulation Engineer for L-3 Stratis supporting NASA.Modeling and simulation hav.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Modeling and simulation have proved over the years to provide insight into system behavior and design. Traditionally, models are designed to only support deterministic inputs and parameters. This forces the user to provide an exact set of operating conditions to run the simulation. Greater insight into the system''s behavior can be achieved by allowing inputs and parameters to reflect the user''s uncertainty. The Monte Carlo method is a common yet costly approach to generating these desired statistical results. This book introduces an alternative approach by applying polynomial chaos theory to an established circuit modeling method. This results in a general uncertainty-based modeling and simulation framework which yields full system statistics after one simulation run. Linear and non- linear systems are discussed using examples from basic circuits to power converters complete with closed-loop control systems. This book will be useful to anyone interested in modeling and simulation, advanced numerical methods or uncertainty propagation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modeling and simulation have proved over the years to provide insight into system behavior and design. Traditionally, models are designed to only support deterministic inputs and parameters. This forces the user to provide an exact set of operating conditions to run the simulation. Greater insight into the system's behavior can be achieved by allowing inputs and parameters to reflect the user's uncertainty. The Monte Carlo method is a common yet costly approach to generating these desired statistical results. This book introduces an alternative approach by applying polynomial chaos theory to an established circuit modeling method. This results in a general uncertainty-based modeling and simulation framework which yields full system statistics after one simulation run. Linear and non- linear systems are discussed using examples from basic circuits to power converters complete with closed-loop control systems. This book will be useful to anyone interested in modeling and simulation, advanced numerical methods or uncertainty propagation.