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This book contains three fiction stories with some realistic elements and facts; they are about the adventures of two close friends, James and Jack. The first story is about their adventures near the Netherlands railroad crossing. In the second story, they explore the Titanic shipwreck. They go on an expedition to the Atlantic Ocean and go to the ocean floor and observe the details of the lost ship. The third story is about their mission to explore the planets that make up our solar system. They go on the space shuttle and ride on the ship until it stops working in space. A meteor brings them back to Earth safely.
Learning-Driven Game Theory for AI: Concepts, Models, and Applications offers in-depth coverage of recent methodological and conceptual advancements in various disciplines of Dynamic Games, namely differential and discrete-time dynamic games, evolutionary games, repeated and stochastic games, and their applications in a variety of fields, such as computer science, biology, economics, and management science. In this book, the authors bridge the gap between traditional game theory and its modern applications in artificial intelligence (AI) and related technological fields. The dynamic nature of contemporary problems in robotics, cybersecurity, machine learning, and multi-agent systems requires...
This book showcases a collection of papers that present cutting-edge studies, methods, experiments, and applications in various interdisciplinary fields. These fields encompass optimal control, guidance, navigation, game theory, stability, nonlinear dynamics, robotics, sensor fusion, machine learning, and autonomy. The chapters reveal novel studies and methods, providing fresh insights into the field of optimal guidance and control for autonomous systems. The book also covers a wide range of relevant applications, showcasing how optimal guidance and control techniques can be effectively applied in various domains, including mechanical and aerospace engineering. From robotics to sensor fusion and machine learning, the papers explore the practical implications of these techniques and methodologies.
Advances in the Astronautical Sciences Series Volume 148 is a collection of scientific papers that were presented at the American Astronautical Society/American Institute of Aeronautics and Astronautics Spaceflight Mechanics Meeting held February 10-14, 2013, in Kauai, Hawaii.
Analytical Solutions for Extremal Space Trajectories presents an overall treatment of the general optimal control problem, in particular, the Mayer's variational problem, with necessary and sufficient conditions of optimality. It also provides a detailed derivation of the analytical solutions of these problems for thrust arcs for the Newtonian, linear central and uniform gravitational fields. These solutions are then used to analytically synthesize the extremal and optimal trajectories for the design of various orbital transfer and powered descent and landing maneuvers. Many numerical examples utilizing the proposed analytical synthesis of the space trajectories and comparison analyses with ...
This book explores the reconstruction, extension, and enhancement of the Apollo targeting and guidance algorithms, integrating original guidance concepts with new analytical solutions. It details the Apollo ground-based and on-board algorithms, their iterative targeting procedures, and their performance in post-flight mission reconstructions. The book further introduces advanced real-time targeting methods that improve landing accuracy and autonomy, supporting future robotic and human lunar landing missions. By eliminating iterative computations, these solutions enable real-time re-targeting during powered descent, ensuring safer and more precise landings. This work bridges past Apollo-era methods with modern advancements, making it essential for undergraduate and graduate students, aerospace engineers, researchers, and mission designers.