Juan J. Gude

ORCID: 0000-0003-4210-2454
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Research Areas
  • Advanced Control Systems Design
  • Extremum Seeking Control Systems
  • Advanced Control Systems Optimization
  • Experimental Learning in Engineering
  • Control Systems and Identification
  • Fractional Differential Equations Solutions
  • Fault Detection and Control Systems
  • E-Learning and Knowledge Management
  • Hydraulic and Pneumatic Systems
  • Legal and Policy Issues
  • Wireless Body Area Networks
  • Numerical methods for differential equations
  • Educational Technology in Learning
  • Model Reduction and Neural Networks
  • Engineering and Information Technology
  • Advanced DC-DC Converters
  • Open Education and E-Learning
  • Scientific Research and Discoveries
  • Bluetooth and Wireless Communication Technologies
  • Time Series Analysis and Forecasting
  • Higher Education Teaching and Evaluation
  • Iterative Learning Control Systems

Universidad de Deusto
2003-2025

This study introduces a novel method for identifying dynamic systems aimed at deriving reduced-fractional-order models. Applicable to processes exhibiting an S-shaped step response, the effectively characterizes fractional behavior within range of orders (α∈[0.5,1.0]). The uniqueness this approach lies in its hybrid nature, combining one-variable optimization techniques estimating model order α with analytical expressions estimate parameters T and L. leverages information from reaction curve...

10.1016/j.rineng.2024.101757 article EN cc-by-nc-nd Results in Engineering 2024-01-08

10.1007/s40435-025-01604-x article EN cc-by International Journal of Dynamics and Control 2025-02-22

The Ziegler-Nichols tuning rules have been very influential and used extensively in process industry. This paper presents an extension of the modified for fractional PI controllers. design method consists on minimizing a frequency objective function subject to constraint maximum sensitivity M <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</sub> . In this it is also demonstrated that substantially better performance can be obtained using <sup...

10.1109/etfa.2010.5641074 article EN 2010-09-01

This paper aims to present a general identification procedure for fractional first-order plus dead-time (FFOPDT) models. method is processes having S-shaped step responses, where process information collected from an open-loop step-test experiment, and has been conducted by fitting three arbitrary points on the reaction curve. In order validate this check its effectiveness of fractional-order models curve, analytical expressions FFOPDT model parameters have obtained both situations: as...

10.3390/fractalfract6090526 article EN cc-by Fractal and Fractional 2022-09-17

This paper presents a new method for identifying dynamical systems to get fractional-reduced-order models based on the process reaction curve. proposal uses information collected from process. It can be applied processes with an S-shaped step response that considered fractional behavior and order range of α ∈ [0.5, 1.0]. The proposed approach combines obtaining model using asymptotic properties Mittag-Leffler function time-based parameter estimation by considering two arbitrary points...

10.1109/access.2023.3317230 article EN cc-by-nc-nd IEEE Access 2023-01-01

Fractional-order systems capture complex dynamic behaviors more accurately than integer-order models, yet their real-time identification remains challenging, particularly in resource-constrained environments. This work proposes a hybrid framework that combines Particle Swarm Optimization (PSO) with various artificial intelligence (AI) techniques to estimate reduced-order models of fractional systems. First, PSO optimizes model parameters by minimizing the discrepancy between high-order...

10.3390/math13081308 article EN cc-by Mathematics 2025-04-16

This paper proposes a hybrid control framework based on internal model concepts, sliding mode methodology, and fractional-order calculus theory. As result, modified Smith predictor (SP) is proposed for nonlinear systems with significant delays. The particular predictive approach enhances the (SMC) controller's transient responses dead-time processes, SMC gives structure robustness mismatches by combining previous methods fractional order concepts; result dynamical controller. A numerical...

10.1021/acsomega.3c10514 article EN cc-by-nc-nd ACS Omega 2024-07-20

This paper presents new tuning rules for fractional PI control of processes that are typically found in process control. The based on characterization dynamics by three parameters can be obtained from a simple step response experiment. minimizing frequency objective function subject to constraint the maximum sensitivity. Comparisons with classical show they very but give substantially better performance.

10.1109/etfa.2009.5347157 article EN 2009-09-01

In this paper, a general procedure for identifying fractional first‐order plus dead‐time (FFOPDT) model is presented. This based on fitting three arbitrary points the process reaction curve, where information obtained from simple open‐loop test. A simplification of identification also considered, only symmetrically located curve are selected. The proposed symmetrical has been applied to following sets representative points: (5–50–95%), (10–50–90%), (15–50–85%), (20–50–80%), (25–50–75%), and...

10.1155/2022/7185131 article EN cc-by Journal of Mathematics 2022-01-01

In this paper, the conceptualization of a control hardware architecture aimed to implementation integer- and fractional-order identification algorithms is presented. The proposed combines capability implementing PC-based applications with embedded on microprocessor- FPGA-based real-time targets. work, potential advantages over other available alternatives are discussed from different perspectives. experimental prototype that has been designed built evaluate in work also described detail....

10.3390/math11010143 article EN cc-by Mathematics 2022-12-28

In this paper, an analytical procedure to identify a fractional-first order plus dead time (FFOPDT) model is presented. This applied processes with overdamped or underdamped step response, i.e., fractional values in the range 0.5 ≤ α 2.0 can be estimated. The required process information obtained through simple open-loop experiment and based on fitting three arbitrary points (x 1 -x 2 3 %) reaction curve. Some numerical examples are proposed show effectiveness applicability of for...

10.1016/j.ifacol.2024.08.188 article EN IFAC-PapersOnLine 2024-01-01

10.3182/20090712-4-tr-2008.00125 article EN IFAC Proceedings Volumes 2009-01-01

The main objective of this paper is to present a software application developed for the practical training in programming, handling, and tuning industrial PID regulators. Because wide spread use control it highly desirable that professional qualification should be focused on achieving closely related practice. Some comments relating practice are offered context.

10.1109/etfa.2006.355215 article EN 2006-09-01

10.3182/20120328-3-it-3014.00100 article EN IFAC Proceedings Volumes 2012-01-01

New tuning rules for two-degree-of-freedom (2-DoF) PI controllers several robustness levels in the spirit of kappa-tau are presented this paper. The based on characterization process dynamics by three parameters, i.e. static gain K <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">P</sub> , and xmlns:xlink="http://www.w3.org/1999/xlink">180</sub> frequency ω where phase lag is 180 <sup xmlns:xlink="http://www.w3.org/1999/xlink">o</sup> which can...

10.1109/etfa.2012.6489612 article EN 2012-09-01

A computational thinking under simulated environment with amendable properties is promoted. It exemplified on a real drum boiler multi-loop linear control. The model based the boiler-turbine plant P16/G16, which oil-fired and rated power 160 MW, at Sydvenska Kraft AB Plant in Malmö, Sweden. proficient symbolic numerical combination points out fast very efficient automatic engineering calculation. This contribution aims tailor-made small simulators Matlab for those industrial processes are...

10.1109/etfa.2011.6059211 article EN 2011-09-01

The main objective of this paper is to present an innovative equipment for practical teaching in control engineering, paying special attention its conceptualisation and possibilities the theoretical-practical training. role automation issues applied prototype discussed. A distributed system (DCS) will be introduced

10.1109/etfa.2005.1612566 article EN 2006-04-06

10.3182/20091021-3-jp-2009.00043 article EN IFAC Proceedings Volumes 2010-01-01

This paper introduces a proposal for health care monitoring. application has been implemented by purely wireless ad-hoc networking with gateway devices Bluetooth communications module controlled programmable microprocessor. communication system is suggested, instance, to compose electronic records (EHR), or be part of Hospital Information System (HIS). The aim this the presentation physical implementation network. Prototype boards have developed and first trials will done.

10.1109/itict.2006.358224 article EN 2006-12-01

The main objective of this paper is to present a drum level control prototype, paying special attention its conceptualization and possibilities for the theoretical-practical training. Emphasis placed on role control, industrial instrumentation, automation issues applied prototype. Considerations over process are explained in detail. Extensive experimental results also described. Some comments related practice offered context.

10.1109/etfa.2011.6059073 article EN 2011-09-01
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