Norcroft adrian (4 resultados)

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  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798191983448

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 61,68

    Envío por EUR 7,88 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp Aug 2026, 2026

    9798191983448

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 94,12

    Envío por EUR 42,49 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    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. …

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798191983448

    • Tapa blanda
    • Impresión bajo demanda

    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 68,84

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798191983448

    • Tapa blanda
    • Impresión bajo demanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 67,22

    Envío por EUR 43,13 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad 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. …