Norcroft adrian (4 resultados)

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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 61,68
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 94,12
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Taschenbuch. Condición: Neu. Neuware - Modern engineered systems do not fit neatly inside one subject-and neither should the way you learn to analyze them.A real feedback system links physical dynamics, measurements, estimation, communication, computation, decision-making, actuation, uncertainty, constraints, and human oversight. Learning these topics separately can leave a critical gap: understanding how the complete loop behaves when noise, delay, model error, saturation, changing conditions, or faults appear.Fundamentals of Engineering Cybernetics closes that gap with a structured engineering path from mathematical foundations and system modeling to advanced control, estimation, optimization, learning, robotics, and resilient cyber-physical systems. The emphasis is not only on obtaining a numerical answer, but on understanding the assumptions, units, validity limits, and evidence behind it.Inside, you will explore how to: - Build dynamic and state-space models from clearly defined variables, boundaries, assumptions, and physical relationships.- Connect feedback and stability with classical design, state feedback, optimal control, observers, Kalman filtering, and sensor fusion.- Account for sampling, quantization, communication delay, jitter, packet loss, actuator limits, and numerical implementation.- Explore constrained optimization, model predictive control, robust and adaptive methods, and learning-augmented control with validation and fallback in view.- Extend the same framework to robotics, autonomy, multi-agent coordination, digital twins, cybersecurity, safety, resilience, and human-machine assurance.- Reinforce learning through transparent derivations, SI-unit calculations, worked examples, practice problems, cross-references, and practical appendix checklists.The manuscript is specifically structured around these interconnected areas, progressing from mathematical foundations through control and estimation to optimization, intelligent control, robotics, distributed cyber-physical systems, safety, and resilience. …

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 68,84
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Condición: New. Print on Demand.

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 67,22
Envío por EUR 43,13Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. Modern engineered systems do not fit neatly inside one subject-and neither should the way you learn to analyze them.A real feedback system links physical dynamics, measurements, estimation, communication, computation, decision-making, actuation, uncertainty, constraints, and human oversight. Learning these topics separately can leave a critical gap: understanding how the complete loop behaves when noise, delay, model error, saturation, changing conditions, or faults appear.Fundamentals of Engineering Cybernetics closes that gap with a structured engineering path from mathematical foundations and system modeling to advanced control, estimation, optimization, learning, robotics, and resilient cyber-physical systems. The emphasis is not only on obtaining a numerical answer, but on understanding the assumptions, units, validity limits, and evidence behind it.Inside, you will explore how to: Build dynamic and state-space models from clearly defined variables, boundaries, assumptions, and physical relationships.Connect feedback and stability with classical design, state feedback, optimal control, observers, Kalman filtering, and sensor fusion.Account for sampling, quantization, communication delay, jitter, packet loss, actuator limits, and numerical implementation.Explore constrained optimization, model predictive control, robust and adaptive methods, and learning-augmented control with validation and fallback in view.Extend the same framework to robotics, autonomy, multi-agent coordination, digital twins, cybersecurity, safety, resilience, and human-machine assurance.Reinforce learning through transparent derivations, SI-unit calculations, worked examples, practice problems, cross-references, and practical appendix checklists.The manuscript is specifically structured around these interconnected areas, progressing from mathematical foundations through control and estimation to optimization, intelligent control, robotics, distributed cyber-physical systems, safety, and resilience. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …