Advanced aerospace systems are increasingly expected to operate in complex, uncertain, and safety-critical environments. As autonomy becomes more central to modern aviation, space exploration, advanced air mobility, and unmanned systems, the ability of these systems to maintain safe and reliable operation in the presence of faults, failures, disturbances, and unexpected threats becomes essential. In this context, fault tolerance refers to the capability of a system to continue performing its intended functions, possibly with degraded performance, after the occurrence of faults or abnormal conditions. Fault-tolerant aerospace systems are therefore designed not only to detect and accommodate faults, but also to preserve mission effectiveness, operational reliability, and safety.
Intelligent fault-tolerant methods, when integrated with health-management systems, adaptive control, decision making, and planning algorithms, can significantly enhance both autonomy and safety. Intelligent fault-tolerant architectures contribute to the development of more resilient aerospace systems and missions by enabling new capabilities to diagnose their own condition, adapt to failures, compensate for performance degradation, and make informed decisions under uncertainty.
Advances in Intelligent Fault-Tolerant Aerospace Systems and Applications aims to provide readers with a comprehensive and timely overview of recent developments in intelligent health management, fault-tolerant control systems, and decision-making methods for aerospace applications. The book includes nine chapters, organized into three main parts:
•
Section I: Intelligent Health Monitoring introduces recent developments and technologies for detecting, diagnosing, and predicting faults and threats that can affect the resilience of aerospace systems and missions.
•
Section II: Fault-Tolerant Flight Controls addresses essential concepts and methods in fault-tolerant flight control. This section provides the foundation needed to understand how aerospace systems can maintain reliability and safety through compensation and recovery mechanisms under faults, failures, and threats.
•
Section III: Intelligent Decision Making and Planning progresses toward the broader goal of achieving autonomous and resilient aerospace systems. Building on the concepts of health monitoring and fault-tolerant control, this section explores advanced methods for decision making, planning, and intelligent autonomy in dynamic and uncertain environments.
This book presents fundamental concepts, emerging methodologies, and practical applications reflecting the state of the art in this rapidly evolving field and serves as an instructive, informative text and useful reference for researchers, engineers, practitioners, and students interested in advancing the safety, resilience, and autonomy of aerospace systems.
