Reynoso Meza, Gilberto.
Controller Tuning with Evolutionary Multiobjective Optimization A Holistic Multiobjective Optimization Design Procedure / [electronic resource] : by Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá. - 1st ed. 2017. - XIII, 227 p. 124 illus., 83 illus. in color. online resource. - Intelligent Systems, Control and Automation: Science and Engineering, 85 2213-8994 ; . - Intelligent Systems, Control and Automation: Science and Engineering, 85 .
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.
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.
9783319413013
10.1007/978-3-319-41301-3 doi
Control engineering.
Computational intelligence.
Mathematics—Data processing.
Control and Systems Theory.
Computational Intelligence.
Computational Mathematics and Numerical Analysis.
TJ212-225
629.8312 003
Controller Tuning with Evolutionary Multiobjective Optimization A Holistic Multiobjective Optimization Design Procedure / [electronic resource] : by Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá. - 1st ed. 2017. - XIII, 227 p. 124 illus., 83 illus. in color. online resource. - Intelligent Systems, Control and Automation: Science and Engineering, 85 2213-8994 ; . - Intelligent Systems, Control and Automation: Science and Engineering, 85 .
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.
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.
9783319413013
10.1007/978-3-319-41301-3 doi
Control engineering.
Computational intelligence.
Mathematics—Data processing.
Control and Systems Theory.
Computational Intelligence.
Computational Mathematics and Numerical Analysis.
TJ212-225
629.8312 003