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Predictive Filtering for Microsatellite Control Systems

  • ID: 4991112
  • Book
  • August 2020
  • Region: Global
  • 300 Pages
  • Elsevier Science and Technology
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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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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 systems

Section 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 systems

Section 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

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Cao, Lu
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”.
Chen, Xiaoqian
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)”.
Xiao, Bing
Dr. Bing Xiao is currently an associate professor. He is one of the leading researchers in the spacecraft control system design. Dr. Xiao has been presented a number of review works for the top journals such as the IEEE Transactions on Industrial Electronics,, the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Circuits and Systems-I: Regular Papers, the IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Systems, Man and Cybernetics: Systems, Information Sciences, International Journal of Robust and Nonlinear Control, Neurocomputing, Asian Journal of Control, Journal of The Franklin Institute, for instance. Dr. Xiao has been elected as a senior member of Chinese Youth Automation Committee. This committee consists of 200 top Chinese experts (whose age should be strictly between 25 and 40) on control theories and engineering. Currently he is the youngest member. This is a clear evidence of his leadership role in the research community of China.
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