This book introduces multi-objective design methods to solve multi-objective optimization problems (MOPs) of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. The MOPs of multiple targets for systems are all transformed into equivalent linear matrix inequality (LMI)-constrained MOPs. Corresponding reverse-order LMI-constrained multi-objective evolution algorithms are introduced to solve LMI-constrained MOPs using MATLAB®. All proposed design methods are based on rigorous theoretical results, and their applications are focused on more practical engineering design examples.
Features:
- Discusses multi-objective optimization from an engineers perspective
- Contains the theoretical design methods of multi-objective optimization schemes
- Includes a wide spectrum of recent research topics in control design, especially for stochastic mean field diffusion problems
- Covers practical applications in each chapter, like missile guidance design, economic and financial systems, power control tracking, minimization design in communication, and so forth
- Explores practical multi-objective optimization design examples in control, signal processing, communication, and cyber-financial systems
This book is aimed at researchers and graduate students in electrical engineering, control design, and optimization.
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.
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.
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, H 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 H 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.
