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Full Description
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 engineer's 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.
Contents
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.
