Multi-Objective Optimization System Designs and Their Applications

<p>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.</p><p>Features:</p><ul> <li>Discusses multi-objective optimization from an engineer’s perspective</li> <li>Contains the theoretical design methods of multi-objective optimization schemes</li> <li>Includes a wide spectrum of recent research topics in control design especially for stochastic mean field diffusion problems</li> <li>Covers practical applications in each chapter like missile guidance design economic and financial systems power control tracking minimization design in communication and so forth</li> <li>Explores practical multi-objective optimization design examples in control signal processing communication and cyber-financial systems</li> </ul><p>This book is aimed at researchers and graduate students in electrical engineering control design and optimization.</p>