Robust Engineering Designs of Partial Differential Systems and Their Applications
- Available for pre-order. Item will ship after December 23, 2021
This book focusses on partial differential systems (PDS) from an engineering perspective covering robust stabilization control, filter, and reference tracking design in signal processing, control, and biological systems. Each of the chapter focuses on a specific design topic with deep investigation into the robust H∞ filtering, stabilization/tracking design for more complex and practical PDS under stochastic fluctuation and external disturbance. It further covers biological system designs in spatio‐temporal gene/protein interaction network of biological development, biochemical system, and ecosystem.
- Considers both time‐domain and frequency domain robust design techniques of partial differential systems
- Illustrates both theoretical robust design techniques and practical applications
- Discusses partial differential systems with both Dirichlet and Neuman boundary conditions in robust design procedure
- Addresses deterministic and stochastic partial differential systems
- Explores theoretical mathematical background, robust signal processing design, robust control system design and robust biological system design with application
This book is aimed at graduate students, researchers, professionals in control engineering.
Table of Contents
Part I: Background 1. Introduction to Partial Differential Systems 2. Fuzzy Solutions to Partial Differential Equations Part II: Robust Signal Processing Design 3. Robust Filter Design for Linear Stochastic Partial Differential Systems via a Set of Sensor Measurements 4. Robust Filter Design for Nonlinear Stochastic Partial Differential Systems in Sensor Signal Processing 5. Robust Synchronization Design of Partial Differential Systems via Diffusion Coupling Part III: Robust Control System Design 6. Robust Stabilization Control Design Problem of Large Structural Systems under Mode Truncation, Parameter Perturbations and Actuator Saturations 7. Robust Observer-Based Output Feedback Control Design of Large Flexible Structures: Mode State Space Approach and Frequency Domain Robustness Measurement Method 8. Robust Stabilization Design for Stochastic Linear Partial Differential Systems under Spatio-temporal Disturbances and Sensor Measurement Noises 9. Fuzzy State-Space Modeling and Robust Observer-Based Control Design for Nonlinear Partial Differential Systems 10. Robust Tracking Control Design of Nonlinear Distributed Parameter Time-Delayed Systems 11. Robust Stabilization Control Design of Nonlinear Stochastic Partial Differential Systems 12. Robust Fuzzy H∞ Estimator-based Stabilization Design for Nonlinear Parabolic Partial Differential Systems with Different Boundary Conditions 13. Low Design-Cost Fuzzy Controllers for Robust Stabilization of Nonlinear Partial Differential Systems
Dr. Bor-Sen Chen received B.S. degree in electrical engineering from Tatung Institute of Technology, Taipei, Taiwan, in 1970, and M.S. degree of geophysics from the National Central University, Chungli, Taiwan in 1973, and Ph.D degree from University of Southern California, Los Angeles, CA, USA, in 1973. From 1973 to 1987, he had been a lecturer, associate professor, and professor of Tatung Institute of Technology. From 1987, he has been a professor, chair professor and Tsing Hua distinguished chair professor with the Department of Electrical Engineering of National Tsing Hua University, Hsinchu, Taiwan. His research interests include robust control theory and engineering design, robust signal processing and communication system design, and systems biology. He has published more than 300 journal papers, including 130 papers in control, 70 papers in signal processing and communication, and 100 papers in systems biology. He has also published 10 monographs. He was the recipient of numerous awards for his academic accomplishments in robust control, fuzzy control, H∞ control, stochastic control, signal processing and systems biology, including 4 Outstanding Research Awards of National Science Council, Academic Award in Engineering from Ministry of Education, National Chair Professor of the Ministry of Education, Best Impact Award of IEEE Taiwan Section for his most SCI citations of IEEE members in Taiwan, etc. His current research interest focuses on the H∞ team formation network tracking control of large-scale UAVs, large-scale biped robots and their team cooperation, deep neural network (DNN)-based control design of nonlinear dynamic systems, systems medicine design based on design specifications and deep learning schemes, etc. He is a life fellow of IEEE.