Spacecraft Attitude Control: A Linear Matrix Inequality Approach solves problems
for spacecraft attitude control systems using convex optimization and, specifi cally,
through a linear matrix inequality (LMI) approach. High-precision pointing and improved
robustness in the face of external disturbances and other uncertainties are requirements
for the current generation of spacecraft. This book presents an LMI approach to spacecraft
attitude control and shows that all uncertainties in the maneuvering process can be
solved numerically. It explains how a model-like state space can be developed through a
mathematical presentation of attitude control systems, allowing the controller in question to
be applied universally. The authors describe a wide variety of novel and robust controllers,
applicable both to spacecraft attitude control and easily extendable to second-order
systems. Spacecraft Attitude Control provides its readers with an accessible introduction
to spacecraft attitude control and robust systems, giving an extensive survey of current
research and helping researchers improve robust control performance.

� propos des auteurs

Chuang Liu is an Associate Professor at Northwestern Polytechnical University, China. He is also Scientific Committee Member of Aeromeet 2022. He received the COSPAR Outstanding Paper Award for Young Scientists in 2020. His research focuses on aerospace engineering.

Xiaokui Yue is a Professor at Northwestern Technical University, China. His research has focused on the frontiers of space exploration and on computational methods for nonlinear dynamical systems.

Keke Shi is a Research Assistant at the Harbin Institute of Technology, China. His research is focused on overall spacecraft design and dynamics control.

Zhaowei Sun is a Professor at the Harbin Institute of Technology, China. His research focuses on overall spacecraft dynamics and control.

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