EBook For Multi-Objective Optimization System Designs and Their Applications 1st Edition By Bor-Sen Chen

EBook For Multi-Objective Optimization System Designs and Their Applications 1st Edition By Bor-Sen Chen

Table of Content

Part I: General Theory for Multiobjective Optimization Designs of Stochastic Systems
Chapter 1  Introduction of Multiobjective Optimization Problems
Chapter 2  Multiobjective Optimization Design for Linear and Nonlinear Stochastic Systems

Part II: Multiobjective Optimization Designs in Control Systems
Chapter 3  Multiobjective H₂/H_∞ Stabilization Control Strategy of Nonlinear Stochastic Systems
Chapter 4  Multiobjective Tracking Control Design of T-S Fuzzy Systems: Fuzzy Pareto Optimal Approach
Chapter 5  Multiobjective Missile Guidance Control with Stochastic Continuous Wiener and Discontinuous Poisson Noises
Chapter 6  Multiobjective Control Design of Nonlinear Mean-Field Stochastic Jump-Diffusion Systems
Chapter 7  Multiobjective Fault-Tolerance Observer-Based Control Design of Stochastic Jump-Diffusion Systems

Part III: Multiobjective Optimization Designs in Signal Processing and Systems Communication
Chapter 8 Multiobjective H₂/H_∞ Optimal Filter Design of Nonlinear Stochastic Signal Processing Systems
Chapter 9 Security-Enhanced Filter Design for Stochastic Systems under Malicious Attack via Multiobjective Estimation Method
Chapter 10 Multiobjective H₂/H_∞ Optimal Power Tracking Control for Interference-Limited Wireless Communication Systems
Chapter 11 Multiobjective Power Minimization Design for Energy Efficiency in Multicell Multiuser MIMO Beamforming Systems
Chapter 12 Multiobjective Beamforming Power Control for Robust SINR Target Tracking and Power Efficiency in Multicell MU-MIMO Wireless Communication Systems

Part IV: Multiobjective Optimization Designs in Cyber-Social Systems
Chapter 13 Multiobjective Investment Policy for a Nonlinear Stochastic Financial System
Chapter 14 Multiobjective Optimal H₂/H_∞ Dynamic Pricing Policy Design of a Mean Field Stochastic Smart Grid Networks
Chapter 15 Multi-Player Noncooperative and Cooperative Game Strategies for Linear Mean Field Stochastic Systems: Multiobjective Optimization Evolution Algorithm Approach

Description

Features:

• Explains how engineers solve problems with many goals.
• Teaches the math behind solving these types of problems.
• Talks about new research on systems affected by random changes.
• Gives examples like how to design missile systems, manage money, control power, and improve communication.
• Shows how these ideas are used in real-world problems in areas like control, communication, and finance.

This book is great for students and researchers who want to learn more about engineering, control systems, and solving problems with multiple goals.