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.
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Table of Contents
1. Introduction of basic knowledge 2. State feedback nonfragile control 3. Dynamic output feedback nonfragile control 4. Observer-based fault tolerant delayed control 5. Observer-based fault tolerant nonfragile control 6. Disturbance observer-based control with input magnitude and rate constraints 7. Improved mixed H2/HN control with poles assignment constraint 8. Nonfragile HN control with input constraints 9. Antidisturbance control with active vibration suppression 10. Chaotic attitude tracking control 11. Underactuated chaotic attitude stabilization control
