
Predictive Filtering for Microsatellite Control System
Description
Key Features
- Unifies existing and emerging concepts concerning predictive filtering theory, state estimation, and signal processing for spacecraft control systems
- Provides a series of latest results in, including but not limited to, nonlinear filtering, attitude determination, and state estimation towards spacecraft control systems
- Gives numerical and simulation results in each chapter in order to reflect the engineering practice and demonstrate the main focus of the developed analysis and synthesis approach
- Covers advanced topics in nonlinear filtering with aerospace application
Readership
Control engineers working on nonlinear control systems; Aerospace engineers working on spacecraft design; Mechanical engineers working on vehicle systems; Mathematicians and physicians working on complex and nonlinear systems; Postgraduate students majoring in aerospace engineering, mechatronics, control engineering, mechanical engineering, and applied mathematics. Practitioners working on spacecraft control systems; Mathematicians and physicians working on nonlinear dynamic systems; 3rd/4th-year students who are interested in knowing advances in spacecraft control systems and predictive filtering in nonlinear systems
Table of Contents
Section A: General analysis on filtering for spacecraft control systems
1. Motivations
2. A survey on filtering for spacecraft control systems
3. Modelling of spacecraft control systemsSection B: Sigma-point predictive filtering for spacecraft control systems
4. Unscented predictive filtering theory for spacecraft control systems
5. Central difference predictive filter design for spacecrafts
6. Cubature predictive filtering theory for spacecraft control systemsSection C: Variable structure predictive filtering for spacecraft control systems
7. Variable structure predictive filter design
8. Adaptive variable structure predictive filter design
9. Higher-order variable structure predictive filter design
Product details
- No. of pages: 282
- Language: English
- Copyright: © Academic Press 2020
- Published: November 26, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128218655
- eBook ISBN: 9780128218662
About the Authors
Lu Cao
Affiliations and Expertise
Xiaoqian Chen
Affiliations and Expertise
Bing Xiao
Affiliations and Expertise
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