Autopilot Systems and Architecture (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"Autopilot Systems and Architecture" "Autopilot Systems and Architecture" is a comprehensive resource offering an in-depth exploration of the principles, design, and implementation of modern autopilot systems. The book opens by tracing the historical evolution of autopilots, analyzing their system taxonomy, and unpacking the fundamentals of control theory that underpin their performance. Readers are guided through regulatory standards, operational requirements, and real-world applications spanning aviation, maritime, automotive, and unmanned vehicles, providing a rich context for understanding...
"Autopilot Systems and Architecture"
"Autopilot Systems and Architecture" is a comprehensive resource offering an in-depth exploration of the principles, design, and implementation of modern autopilot systems. The book opens by tracing the historical evolution of autopilots, analyzing their system taxonomy, and unpacking the fundamentals of control theory that underpin their performance. Readers are guided through regulatory standards, operational requirements, and real-world applications spanning aviation, maritime, automotive, and unmanned vehicles, providing a rich context for understanding the complexity and criticality of autopilot technologies.
Moving beyond foundational concepts, the text delves into the architecture and integration of autopilot systems. It examines layered and distributed design patterns, sensor fusion techniques, and advanced algorithms for guidance, navigation, and control. Dedicated chapters illuminate key challenges like real-time and embedded systems, modularity, secure communication, and the stringent software engineering practices required to ensure safety and reliability in mission-critical environments. The integration of hardware and software, robust verification and validation processes, as well as cybersecurity and resilience, are explored in detail, offering readers actionable insights into tackling reliability and regulatory demands.
Crucially, the book emphasizes the human-machine interface and the evolving landscape of autonomous technologies. Through case studies and forward-looking analysis, it covers human-in-the-loop design, explainability, ethical considerations, and the future of AI-driven and cloud-integrated autopilots. "Autopilot Systems and Architecture" thus serves as both a reference and a practical handbook for engineers, system architects, and researchers seeking to design, implement, and oversee the next generation of autonomous and resilient autopilot systems across diverse domains.
"Autopilot Systems and Architecture" is a comprehensive resource offering an in-depth exploration of the principles, design, and implementation of modern autopilot systems. The book opens by tracing the historical evolution of autopilots, analyzing their system taxonomy, and unpacking the fundamentals of control theory that underpin their performance. Readers are guided through regulatory standards, operational requirements, and real-world applications spanning aviation, maritime, automotive, and unmanned vehicles, providing a rich context for understanding the complexity and criticality of autopilot technologies.
Moving beyond foundational concepts, the text delves into the architecture and integration of autopilot systems. It examines layered and distributed design patterns, sensor fusion techniques, and advanced algorithms for guidance, navigation, and control. Dedicated chapters illuminate key challenges like real-time and embedded systems, modularity, secure communication, and the stringent software engineering practices required to ensure safety and reliability in mission-critical environments. The integration of hardware and software, robust verification and validation processes, as well as cybersecurity and resilience, are explored in detail, offering readers actionable insights into tackling reliability and regulatory demands.
Crucially, the book emphasizes the human-machine interface and the evolving landscape of autonomous technologies. Through case studies and forward-looking analysis, it covers human-in-the-loop design, explainability, ethical considerations, and the future of AI-driven and cloud-integrated autopilots. "Autopilot Systems and Architecture" thus serves as both a reference and a practical handbook for engineers, system architects, and researchers seeking to design, implement, and oversee the next generation of autonomous and resilient autopilot systems across diverse domains.
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