Predictive Filtering for Microsatellite Control System
Published on 26. November 2020
282 pages
978-0-12-821866-2 (ISBN)
Description
Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems.
- 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
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Lu Cao | Xiaoqian Chen | Bing Xiao
Predictive Filtering for Microsatellite Control System
Book
12/2020
Academic Press
€136.18
Shipment within 15-20 days
Persons
Dr. Lu Cao is an associate research fellow. He is one of the world leading scholars in the field of nonlinear filtering/state estimation for spacecraft control systems. He is a productive researcher by publishing 50+ SCI journal papers, and has been authorized with 7 invention patents. Dr. Cao has been the pioneer to establish advanced filtering algorithms in practice such as satellites and other. He designed the attitude determination and control system of Tian-Tuo (TT) series micro/nano satellites (totally 8 satellites), and has rich theoretical research and engineering application experience. As recognition for his significant contributions, he is a review expert in aerospace major journals such as Acta Astronautica, Advances in Space Research, Nonlinear Dynamics, and Aerospace China. Moreover, he has won many major awards, which include: the Excellent Master's Thesis, the Excellent Doctorate Thesis, and has been selected in"Yong Talent Lift Project.Prof. Xiaoqian Chen is one of the world leading scholars in the field of spacecraft design. Prof. Chen took in charge of developing Tian-Tuo (TT) series micro/nano satellites (totally 8 satellites). Under his leadership, his team accomplished Tian-Yuan 1 on-orbit refueling satellite flight test, which is the second time in the world after the United States. He established advanced overall design theory of flight vehicles featuring multi-disciplinary design optimization (MDO). He has been elected as an academician in International Academy of Astronautics (IAA), a member in International Astronautical Federation (IAF), a member in the robotics committee of Chinese Society of Astronautics, and an editorial board member in some major journals. He has won many major awards, which include: the "'Qiu Shi' Outstanding Youth Prize for Practical Engineering, "Science & Technology Award for Chinese Youth, "Science & Technology Award for Chinese Youth by Chinese Society of Aeronautics and Astronautics (CSAA).Bing Xiao is an Associate Professor in the School of Automation, at Northwestern Polytechnical University, in China. His work focuses on spacecraft fault tolerant systems design. He has been elected as a senior member of the Chinese Youth Automation Committee, a platform for leading automation researchers in China. He has published over 70 papers.
Content
Section A: General analysis on filtering for spacecraft control systems1. Motivations2. A survey on filtering for spacecraft control systems3. Modelling of spacecraft control systems
Section B: Sigma-point predictive filtering for spacecraft control systems4. Unscented predictive filtering theory for spacecraft control systems5. Central difference predictive filter design for spacecrafts6. Cubature predictive filtering theory for spacecraft control systems
Section C: Variable structure predictive filtering for spacecraft control systems7. Variable structure predictive filter design8. Adaptive variable structure predictive filter design9. Higher-order variable structure predictive filter design
