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    Chapter and Conference Paper

    An Adaptive Parameter Control for the Differential Evolution Algorithm

    The Differential Evolution is a floating-point evolutionary algorithm that has demonstrated good performance on locating the global optima in a wide variety of problems and applications. It has mainly three tu...

    Gilberto Reynoso-Meza, Javier Sanchis in Bio-Inspired Systems: Computational and Am… (2009)

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    Chapter and Conference Paper

    Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning

    Controller design has evolved to a multiobjective task, i.e., today is necessary to take into account, besides any performance requirement, robustness requisites, frequency domain specifications and uncertain mod...

    Gilberto Reynoso-Meza, Javier Sanchis in Applications of Evolutionary Computation (2010)

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    Chapter and Conference Paper

    Spanish Control Engineering Challenge: An Educational Experience

    The Concurso de Ingeniería de Control (CIC) (Engineering Control Challenge) is a student challenge organized by the Comité Español de Automática - CEA (Spanish Committee of Automation) from Spain. It was set as a...

    Xavier Blasco, Gilberto Reynoso-Meza in CONTROLO’2014 – Proceedings of the 11th Po… (2015)

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    Chapter and Conference Paper

    An Evolutionary Multiobjective Optimization Approach for HEV Energy Management System

    Hybrid vehicles have become a promising solution to mitigate the negative effects of pollution and fossil fuel dependency, consequences (among other causes) of an increasing demand on mobility of people and go...

    Alberto Pajares Ferrando in CONTROLO’2014 – Proceedings of the 11th Po… (2015)

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    Chapter

    Controller Tuning for Univariable Processes

    In this chapter, a simple controller tuning statement by means of the multiobjective optimization design procedure is given. The aim of this chapter is to show a basic example in controller tuning and to focus...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    Comparing Control Structures from a Multiobjective Perspective

    This chapter will illustrate the tools presented in previous chapters for the analysis and comparison of different design concepts. In particular, three different control structures (PI, PID and GPC) will be c...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    The ABB’2008 Control Benchmark: A Flexible Manipulator

    In this chapter, a digital controller is tuned for the control benchmark proposed in 2008 by the ABB group at the 17th IFAC World Congress via multiobjective optimization. In some instances, a more realistic e...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    Multiobjective Optimization Design Procedure for Controller Tuning of a Peltier Cell Process

    In this chapter a Peltier cell is used for cooling and freezing purposes. The main challenge from the control point of view is to guarantee the setpoint response performance for both tasks despite the process ...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    Multiobjective Optimization Design Procedure for an Aircraft’s Flight Control System

    In this chapter, the multiobjective optimization design procedure will be used to tune the autopilot controllers for an autonomous Kadett ...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    Controller Tuning for Multivariable Processes

    In this chapter, a multivariable controller is tuned by means of a multiobjective optimization design procedure. For this design problem, several specifications are given, regarding individual control loops an...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    The ACC’1990 Control Benchmark: A Two-Mass-Spring System

    In this chapter, controllers with different complexity for the control benchmark proposed in 1990 at the American Control Conference will be tuned using a multiobjective optimization design procedure. The aim ...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    The 2012 IFAC Control Benchmark: An Industrial Boiler Process

    In this chapter, a multiobjective optimization design procedure is applied to the multivariable version of the Boiler Control Problem, defined in 2nd IFAC Conference on Advances in PID Control, 2012. The chapt...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    Multiobjective Optimization Design Procedure for Controller Tuning of a TRMS Process

    In this chapter, the multiobjective optimization design procedure will be used in order to tune the controller of a Twin Rotor MIMO System (TRMS). For such process, a many-objectives optimization instance is t...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    Background on Multiobjective Optimization for Controller Tuning

    In this chapter a background on multiobjective optimization and a review on multiobjective optimization design procedures within the context of control systems and the controller tuning problem are provided. F...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    Motivation: Multiobjective Thinking in Controller Tuning

    Throughout this chapter, we intend to provide a multiobjective awareness of the controller tuning problem. Beyond the fact that several objectives and requirements must be fulfilled by a given controller, we will...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter

    Tools for the Multiobjective Optimization Design Procedure

    In this chapter, tools for the evolutionary multiobjective optimization process and the multicriteria decision making stage to be used throughout this book (as a reference) are presented. Regarding the optimiz...

    Gilberto Reynoso Meza in Controller Tuning with Evolutionary Multio… (2017)

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    Chapter and Conference Paper

    TimeStacking: An Improved Ensemble Learning Method for Continuous Time Series Classification

    Machine learning has gained great attention for solving time series classification problems. However, usual machine learning algorithms rely on learning from tabular data, and additional signal processing and ...

    Victor Henrique Alves Ribeiro in Product Lifecycle Management. Green and Bl… (2022)

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    Chapter and Conference Paper

    Multi-objective Logistic Regression for Anomaly Detection in Water Distribution Systems

    Providing clean and safe drinking water is a crucial task for any water supply company. In such an activity, automatic anomaly detection plays a critical role in drinking water quality monitoring. Recent anoma...

    Gilberto Reynoso-Meza in Communication, Smart Technologies and Inno… (2022)

  19. Chapter and Conference Paper

    Correction to: Data Science Applied to Vehicle Telemetry Data to Identify Driving Behavior Profiles

    Giancarlo Pellegrino da Rocha Mendes Albano in Proceedings of the 11th International Conf… (2023)

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    Chapter and Conference Paper

    Classification of Leukocytes: Comparison of Different Feature Extraction and Machine Learning Approaches

    Blood cells can be separated into three types: erythrocytes, leukocytes and platelets, and to evaluate the health of a patient, a Complete Blood Count (CBC) is necessary. CBC is amongst the most performed test...

    Fernanda D’Amico Silva, Milena A. Cardoso in Proceedings of the 11th International Conf… (2023)

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