Multi-Objective Optimization System Designs and Their Applications
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Overview
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(R). 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.
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Details
- ISBN-13: 9781032415642
- ISBN-10: 1032415649
- Publisher: CRC Press
- Publish Date: December 2023
- Dimensions: 9.21 x 6.14 x 1 inches
- Shipping Weight: 1.82 pounds
- Page Count: 450
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