Controller tuning with evolutionary multiobjective optimization : a holistic multiobjective optimization design procedure
- 作者： Meza, Gilberto Reynoso, author.
- 其他作者：
- 其他題名：
- Intelligent systems, control and automation: science and engineering ;
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： Intelligent systems, control and automation: science and engineering,volume 85
- 主題： Multidisciplinary design optimization. , Programmable controllers. , Evolutionary computation. , Engineering. , Control. , Computational Intelligence. , Computational Mathematics and Numerical Analysis.
- ISBN： 9783319413013 (electronic bk.) 、 9783319412993 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: From the Contents: Part I Fundamentals -- Tutorial on Multiobjective Optimization Design procedure -- Review on MOOD procedure for controller tuning -- Tools for the MOOD procedure -- Part II Basics -- Controller tuning for SISO processes.
- 摘要註: This book is devoted to Multiobjective Optimization Design (MOOD) procedures for controller tuning applications, by means of Evolutionary Multiobjective Optimization (EMO) It presents developments in tools, procedures and guidelines to facilitate this process, covering the three fundamental steps in the procedure: problem definition, optimization and decision-making. The book is divided into four parts. The first part, Fundamentals, focuses on the necessary theoretical background and provides specific tools for practitioners. The second part, Basics, examines a range of basic examples regarding the MOOD procedure for controller tuning, while the third part, Benchmarking, demonstrates how the MOOD procedure can be employed in several control engineering problems. The fourth part, Applications, is dedicated to implementing the MOOD procedure for controller tuning in real processes.
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讀者標籤：
- 系統號： 005381464 | 機讀編目格式
館藏資訊
This book is devoted to Multiobjective Optimization Design (MOOD) procedures for controller tuning applications, by means of Evolutionary Multiobjective Optimization (EMO). It presents developments in tools, procedures and guidelines to facilitate this process, covering the three fundamental steps in the procedure: problem definition, optimization and decision-making. The book is divided into four parts. The first part, Fundamentals, focuses on the necessary theoretical background and provides specific tools for practitioners. The second part, Basics, examines a range of basic examples regarding the MOOD procedure for controller tuning, while the third part, Benchmarking, demonstrates how the MOOD procedure can be employed in several control engineering problems. The fourth part, Applications, is dedicated to implementing the MOOD procedure for controller tuning in real processes.