Set Theory-Based Spacecraft Dynamics and Control

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Set Theory-Based Spacecraft Dynamics and Control

Set theory Automatic control engineering Aerospace and aviation technology Astronautics

Authors: Chen Yang, Yuanqing Xia

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Collection: Intelligent Control and Learning Systems

Language: English

Published by: Springer

Published on: 16th May 2026

Format: LCP-protected ePub

ISBN: 9789819591794


Unified Set Theory-Based Framework for Spacecraft Dynamics and Control

This book presents a unified set theory-based framework for spacecraft dynamics and control under multi-source uncertainties and data-sparse conditions.

Reduced-Order Modeling Techniques

First, it develops reduced-order modeling techniques for high-dimensional spacecraft dynamics by introducing interval and convex set-based uncertainty descriptions, enabling efficient model reduction while rigorously quantifying unknown-but-bounded uncertainties without reliance on large-sample statistical assumptions.

Spacecraft Attitude Determination and Control

Second, the book addresses spacecraft attitude determination, attitude dynamics and control problems under uncertainty, establishing interval and convex set-based formulations for attitude dynamics and different control methods, including optimal control, sliding mode control, and periodic control, and systematically integrating non-probabilistic time-dependent reliability analysis into the dynamics and control design process to simultaneously account for performance and safety requirements.

Extensions to Rigid–Flexible Coupling Spacecraft

Finally, the proposed methodologies are extended to rigid–flexible coupling spacecraft, where attitude motion and structural vibration interact under uncertain conditions, and set theory-based spacecraft dynamics, optimal control and bounded model predictive control strategies are developed to achieve coordinated attitude–vibration suppression with guaranteed reliability and computational efficiency.

Overall Methodology

Overall, the book provides a systematic methodology that links uncertainty dynamics, control synthesis, and reliability-based design optimization, offering both solid theoretical foundations and practical tools for the dynamics and control of advanced spacecraft operating in uncertain and data-limited environments.

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