Isbn: 9798191983448 - fundamentals of engineering cybernetics: principles, modeling, control, communication, and intelligent systems (2 Ergebnisse)

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Taschenbuch. Zustand: 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. …