Author Description

This Book Introduces Multi-objective Design Methods To Solve Multi-objective Optimization Problems (mops) Of Linear/non-linear Dynamic Systems Under Intrinsic Random Fluctuation And External Disturbance. The Mops Of Multiple Targets For Systems Are All Transformed To Equivalent Lmis-constrained Mops. Corresponding Reverse-order Lmis-constrained Moea Algorithms Are Introduced To Solve Lmis-constrained Mops Using Matlab®. All The Proposed Design Methods Are Based On Rigorous Theoretical Results And Their Applications Are Focused On More Practical Engineering Design Examples. Features: Discuss Multi-objective Optimization From Engineer's Perspective. Contains The Theoretic Design Methods Of Multi-objective Optimization Schemes. Includes Wide Spectrum Of Recent Research Topics In Control Design, Especially For Stochastic Mean Field Stochastic Diffusion Problems. Covers Practical Applications In Each Chapter, Like Missile Guidance Design, Economic And Financial System, 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 Researchers And Graduate Students In Electrical Engineering, Control Design, Optimization-- Provided By Publisher.