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Omar Coello, Moisés Coronel, Darío Carpio, Boris X. Vintimilla & Luis Chuquimarca |
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Enhancing Apple’s Defect Classification: Insights from Visible Spectrum and Narrow Spectral Band Imaging |
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2024 |
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Accepted in 14th International Conference on Pattern Recognition Systems (ICPRS) |
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no |
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cidis @ cidis @ |
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244 |
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Dennis G. Romero; Roberto Yoncon; Angel Guale; Bonny Bayot; Fanny Panchana |
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Evaluación de técnicas de clasificación orientadas a la identificación automática de órganos del camarón a partir de imágenes histológicas |
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Conference Article |
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2017 |
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15th LACCEI International Multi-Conference for Engineering, Education, and Technology |
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2017-July |
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1-6 |
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cidis @ cidis @ |
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61 |
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Ricardo Cajo; Wilton Agila |
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Evaluation of algorithms for linear and nonlinear PID control for Twin Rotor MIMO System |
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2015 |
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Computer Aided System Engineering (APCASE), 2015 Asia-Pacific Conference on, Quito, 2015 |
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214-219 |
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Twin Rotor MIMO System (TRMS); Proportional-Integral-Derivative (PID); Linear PID Controller; Nonlinear PID Controller; Nonlinear Observer |
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In this paper the linear and nonlinear PID control algorithms are analyzed and for a twin rotor MIMO system (TRMS), whose characteristic is not linear with two degrees of freedom and cross-links. The aim of this work is to stabilize the TRMS, to achieve a particular position and follow a trajectory in the shortest time. Mathematical modeling of helicopter model is simulated using MATLAB / Simulink, the two degrees of freedom are controlled both horizontally and vertically through the proposed controllers. Also nonlinear segmented observers for each degree of freedom are designed in order to measure statements required by the nonlinear controller. Followed, a comparative analysis of both algorithms is presented to evaluate their performance in the real TRMS. |
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IEEE |
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English |
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2015 Asia-Pacific Conference on Computer Aided System Engineering |
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cidis @ cidis @ |
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36 |
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Wilton Agila; Ricardo Cajo; Douglas Plaza |
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Experts Agents in PEM Fuel Cell Control |
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2015 |
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4ta International Conference on Renewable Energy Research and Applications |
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896 - 900 |
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s- PEM Fuel Cell; Expert Agent; Perceptive Agents; Acting Agent; Fuzzy Controller |
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In the control of the PEM (Proton Exchange Membrane) fuel cell, the existence of both deliberative and reactive processes that facilitate the tasks of control resulting from a wide range of operating scenarios and range of conditions it is required. The latter is essential to adjust its parameters to the multiplicity of circumstances that may occur in the operation of the PEM stack. In this context, the design and development of an expert-agents based architecture for autonomous control of the PEM stack in top working conditions is presented. The architecture integrates perception and control algorithms using sensory and context information. It is structured in a hierarchy of levels with different time window and level of abstraction. The monitoring model and autonomic control of PEM stack has been validated with different types of PEM stacks and operating conditions demonstrating high reliability in achieving the objective of the proposed energy efficiency. Dynamic control of the wetting of the membrane is a clear example. |
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IEEE |
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Palermo, Italy |
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English |
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2015 International Conference on Renewable Energy Research and Applications (ICRERA) |
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cidis @ cidis @ |
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46 |
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