Bor-Sen Chen

Multi-Objective Optimization System Designs and Their Applications (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book introduces Multi-objective design methods to solve Multi-objective optimization problems of linear/non-linear dynamic systems under intrinsic random fluctuation and external disturbance. All proposed design methods are based on rigorous theoretical results and their applications are focused on practical engineering design example.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 466
• Erscheinungstermin: 5. Dezember 2023
• Englisch
• ISBN-13: 9781000999495
• Artikelnr.: 69480318

Autorenporträt

Bor-Sen Chen received a B.S. in electrical engineering from the Tatung Institute of Technology, Taipei, Taiwan, in 1970; an M.S. in geophysics from the National Central University, Chungli, Taiwan, in 1973; and a Ph.D. from the University of Southern California, Los Angeles, California, USA, in 1973. From 1973 to 1987, he was a lecturer, associate professor, and professor at the 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 at 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 340 journal papers, including 150 papers in control, 80 papers in signal processing and communication, and 110 papers in systems biology. He has also published 10 monographs. He has been the recipient of numerous awards for his academic accomplishments in robust control, fuzzy control, H8 control, stochastic control, signal processing, and systems biology, including four Outstanding Research Awards of the National Science Council, the Academic Award in Engineering from the Ministry of Education, National Chair Professor of the Ministry of Education, and Best Impact Award of IEEE Taiwan Section for having the most SCI citations of IEEE members in Taiwan. His current research interest focuses on the H8 team formation network tracking control of large-scale unmanned aerial vehicles, 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. He is a life fellow of IEEE.

Inhaltsangabe

1. Introduction of Multiobjective Optimization Problems. 2. Multiobjective Optimization Design for Linear and Nonlinear Stochastic Systems. 3. Multiobjective H2/H
Stabilization Control Strategy of Nonlinear Stochastic Systems. 4. Multiobjective H2/H
Tracking Design of Nonlinear Systems: Fuzzy Pareto Optimal Approach. 5. Multiobjective Missile Guidance Control with Stochastic Continuous Wiener and Discontinuous Poisson Noises. 6. Multiobjective Control Design of Nonlinear Mean-Field Stochastic Jump-Diffusion Systems. 7. Multiobjective Fault-Tolerance Observer-Based Control Design of Stochastic Jump-Diffusion Systems. 8. Multiobjective H2/H
Optimal Filter Design of Nonlinear Stochastic Signal Processing Systems. 9. Security-Enhanced Filter Design for Stochastic Systems under Malicious Attack via Multiobjective Estimation Method. 10. Multiobjective H2/H
Power Control for Wireless Communication Systems. 11. Multiobjective Power Minimization Design for Multicell Multiuser MIMO Beamforming Systems. 12. Multiobjective Beamforming Power Control for Robust SINR Target Tracking and Power Efficiency in Multicell MU-MIMO Wireless Communication System. 13. Multiobjective Optimal Investment Strategy for Nonlinear Stochastic Financial Systems. 14. Multiobjective Optimal H2/H
Dynamic Pricing Management Policy of Mean Field Stochastic Smart Grid Networks. 15. Multi-player Noncooperative and Cooperative Game Strategies for Linear Mean Field Stochastic Systems: Multiobjective Optimization Evolutionary Algorithm (MOEA) Approach.