José David Rojas Fernández gained his PhD in 2011. The main focus of his research is the design and analysis of control devices for complex dynamical systems. He has worked on models and simulations of wastewater treatment plants, anaerobic biodigesters and electrochemical processes used in renewable energy predictive control. He has experience using novel control strategies such as data-driven, optimal and model predictive control. Dr. Rojas's current research includes the application of modeling, simulations and control to energy generation and the design of low-cost control systems for agricultural applications.Orlando Arrieta received Bachelor's and Master's degrees in Electrical Engineering from the University of Costa Rica in 2003 and 2006 respectively. In 2007 he obtained a Master's degree in Systems Engineering and Automatic and in 2010 he received a Ph.D., both from the Autonomous University of Barcelona, ​​Spain, in thefield of PID Control. Between 2003 and 2005, he was an Interim Professor in the Automation Department of the School of Electrical Engineering of the University of Costa Rica. Later he became part of the research group in Advanced Control Systems of the Autonomous University of Barcelona, ​​where he also conducts a postdoctoral period. Since 2011, he is Professor of the Automation Department of the School of Electrical Engineering of the University of Costa Rica, reaching in 2015 the rank of Professor. He is a researcher at the Institute of Engineering Research (INII) and the Control Engineering Research Laboratory (CERLab). His research interests are focused on Process Control, applied to the PID Control. Since 2017 he is also Dean of the Faculty of Engineering.Ramón Vilanova was born in Lérida, Spain, on September 10, 1968. He graduated in the Autonomous University of Barcelona (1991) obtaining the title of doctor through the same University (1996). At present he occupies the position of Lecturer at the School of Engineering of the Autonomous University of Barcelona where he develops educational tasks teaching subjects of Signals and Systems, Automatic Control and Technology of Automated Systems. His research interests include methods of tuning of PID regulators, systems with uncertainty, analysis of control systems with several degrees of freedom, application to environmental systems and development of methodologies for design of machine-man interfaces. He is author of several book chapters and has more than 100 publications in international congresses/journals. He is a member of IEEE and SIAM.

• Introduction.- Process Control as a Multi-Objective Problem.- Multi-Objective Optimization Methods.- Implementation of the Multi-Objective Optimization Methods Using MATLAB®.- Application Examples.

José David Rojas Fernández gained his PhD in 2011. The main focus of his research is the design and analysis of control devices for complex dynamical systems. He has worked on models and simulations of wastewater treatment plants, anaerobic biodigesters and electrochemical processes used in renewable energy predictive control. He has experience using novel control strategies such as data-driven, optimal and model predictive control. Dr. Rojas's current research includes the application of modeling, simulations and control to energy generation and the design of low-cost control systems for agricultural applications.Orlando Arrieta received Bachelor's and Master's degrees in Electrical Engineering from the University of Costa Rica in 2003 and 2006 respectively. In 2007 he obtained a Master's degree in Systems Engineering and Automatic and in 2010 he received a Ph.D., both from the Autonomous University of Barcelona, ​​Spain, in thefield of PID Control. Between 2003 and 2005, he was an Interim Professor in the Automation Department of the School of Electrical Engineering of the University of Costa Rica. Later he became part of the research group in Advanced Control Systems of the Autonomous University of Barcelona, ​​where he also conducts a postdoctoral period. Since 2011, he is Professor of the Automation Department of the School of Electrical Engineering of the University of Costa Rica, reaching in 2015 the rank of Professor. He is a researcher at the Institute of Engineering Research (INII) and the Control Engineering Research Laboratory (CERLab). His research interests are focused on Process Control, applied to the PID Control. Since 2017 he is also Dean of the Faculty of Engineering.Ramón Vilanova was born in Lérida, Spain, on September 10, 1968. He graduated in the Autonomous University of Barcelona (1991) obtaining the title of doctor through the same University (1996). At present he occupies the position of Lecturer at the School of Engineering of the Autonomous University of Barcelona where he develops educational tasks teaching subjects of Signals and Systems, Automatic Control and Technology of Automated Systems. His research interests include methods of tuning of PID regulators, systems with uncertainty, analysis of control systems with several degrees of freedom, application to environmental systems and development of methodologies for design of machine-man interfaces. He is author of several book chapters and has more than 100 publications in international congresses/journals. He is a member of IEEE and SIAM.

• Introduction.- Process Control as a Multi-Objective Problem.- Multi-Objective Optimization Methods.- Implementation of the Multi-Objective Optimization Methods Using MATLAB®.- Application Examples.

José David Rojas Fernández gained his PhD in 2011. The main focus of his research is the design and analysis of control devices for complex dynamical systems. He has worked on models and simulations of wastewater treatment plants, anaerobic biodigesters and electrochemical processes used in renewable energy predictive control. He has experience using novel control strategies such as data-driven, optimal and model predictive control. Dr. Rojas's current research includes the application of modeling, simulations and control to energy generation and the design of low-cost control systems for agricultural applications.Orlando Arrieta received Bachelor's and Master's degrees in Electrical Engineering from the University of Costa Rica in 2003 and 2006 respectively. In 2007 he obtained a Master's degree in Systems Engineering and Automatic and in 2010 he received a Ph.D., both from the Autonomous University of Barcelona, ​​Spain, in thefield of PID Control. Between 2003 and 2005, he was an Interim Professor in the Automation Department of the School of Electrical Engineering of the University of Costa Rica. Later he became part of the research group in Advanced Control Systems of the Autonomous University of Barcelona, ​​where he also conducts a postdoctoral period. Since 2011, he is Professor of the Automation Department of the School of Electrical Engineering of the University of Costa Rica, reaching in 2015 the rank of Professor. He is a researcher at the Institute of Engineering Research (INII) and the Control Engineering Research Laboratory (CERLab). His research interests are focused on Process Control, applied to the PID Control. Since 2017 he is also Dean of the Faculty of Engineering.Ramón Vilanova was born in Lérida, Spain, on September 10, 1968. He graduated in the Autonomous University of Barcelona (1991) obtaining the title of doctor through the same University (1996). At present he occupies the position of Lecturer at the School of Engineering of the Autonomous University of Barcelona where he develops educational tasks teaching subjects of Signals and Systems, Automatic Control and Technology of Automated Systems. His research interests include methods of tuning of PID regulators, systems with uncertainty, analysis of control systems with several degrees of freedom, application to environmental systems and development of methodologies for design of machine-man interfaces. He is author of several book chapters and has more than 100 publications in international congresses/journals. He is a member of IEEE and SIAM.

• Introduction.- Process Control as a Multi-Objective Problem.- Multi-Objective Optimization Methods.- Implementation of the Multi-Objective Optimization Methods Using MATLAB®.- Application Examples.