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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(R). All the proposed design methods are based on rigorous theoretical results and their applications are focused on more practical engineering design examples.
Features:
This book is aimed researchers and graduate students in electrical engineering, control design, and optimization.
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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(R). All the proposed design methods are based on rigorous theoretical results and their applications are focused on more practical engineering design examples.
Features:
This book is aimed researchers and graduate students in electrical engineering, control design, and optimization.
Reviews