State-of-the-Art Control and Navigation Systems

Synopsis

Authored by Vikram Singh Sankhala, "State-of-the-Art Control and Navigation Systems" offers a comprehensive exploration of the foundational principles and cutting-edge advancements shaping modern autonomous systems. The book begins by tracing the historical evolution of control theory and navigation fundamentals, laying a solid groundwork in mathematical frameworks like H-infinity control and Lyapunov stability, alongside navigation concepts from trilateration to inertial systems. It then rapidly advances into sophisticated techniques, delving into advanced control algorithms such as Kalman filter variations (EKF, UKF) and the transformative integration of machine learning, showcasing real-world applications in smart buildings and robotics through case studies like Google DeepMind and physics-informed neural networks. The narrative seamlessly transitions to essential sensor fusion architectures, detailing multi-modal sensing examples like LiDAR-Radar-Camera fusion in Tesla Autopilot and addressing critical time synchronization challenges using protocols like PTP/IEEE 1588. The journey continues into the realm of autonomous navigation, examining SLAM innovations (LiDAR vs. Visual SLAM) and solutions for GPS-denied environments using UWB and quantum inertial sensors, referencing projects like the MIT DARPA Subterranean Challenge and Amazon warehouses. Practical application is highlighted through industry-specific implementations across automotive (Waymo), aerospace (SpaceX Starship), and maritime (Rolls-Royce) sectors, illustrating Model Predictive Control, GNC systems, and collision avoidance. The book also critically analyzes the regulatory landscape, covering safety certifications (ISO 26262, DO-178C) and data privacy concerns (GDPR, BeiDou encryption). Concluding with emerging frontiers like neuromorphic engineering (Intel Loihi) and quantum navigation, and outlining open challenges and research needs in long-term autonomy and explainable AI, this book serves as an indispensable guide for engineers, researchers, and students navigating the complexities of modern control and navigation systems, equipping them with the knowledge to innovate and lead in autonomous futures.