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A new dual modifier-adaptation approach for iterative process optimization with inaccurate models
(Pergamon-Elsevier Science Ltd, 2013-12-05)
In order to deal with plant-model mismatch, iterative process optimization schemes use some adaptation strategy based on measurements. The modifier-adaptation approach consists in performing first-order corrections of the ...
Study of meta-heuristic algorithms in the optimization of adaptive control of mechatronic systems
(2019-11-25)
RESUMEN: Las incertidumbres paramétricas son comportamientos no deseados y algunas veces impredecibles de los parámetros de los sistemas mecatrónicos. Las incertidumbres son responsables de disminuir el rendimiento en el ...
Placement over containers with fixed dimensions solved with adaptive neighborhood simulated annealing
(POLISH ACAD SCIENCES DIV IV, 2009)
This work deals with the problem of minimizing the waste of space that occurs on a rotational placement of a set of irregular bi-dimensional items inside a bi-dimensional container. This problem is approached with a heuristic ...
Extension of modifier adaptation for controlled plants using static open-loop models
(Pergamon-Elsevier Science Ltd, 2016-10)
Model-based optimization methods suffer from the limited accuracy of the available process models. Because of plant-model mismatch, model-based optimal inputs may be suboptimal or, worse, unfeasible for the plant. Modifier ...
Control Adaptativo Fraccionario Optimizado por Algoritmos Gen´eticos, Aplicado a Reguladores Autom´aticos de Voltaje
(Elsevier, 2016)
The technique Fractional Order Model Reference Adaptive Control (FOMRAC) applied to an Automatic Voltage Regulator (AVR) is presented in this paper. The work is focused on tuning the adaptive gains and the derivation order ...
Vehicle routing for public transport with adapted simulated annealing
(Planta Piloto de Ingeniería Química, 2014-07)
This paper presents an Adapted Simulated Annealing (ASA) algorithm to solve an instance of the vehicle routing problem (VRP): the intercity public transport problem (IPTP). This combinatorial optimization problem was ...
An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment
(MDPI, 2012)
In astronomy, the light emitted by an object travels through the vacuum of space and then the turbulent atmosphere before arriving at a ground based telescope. By passing through the atmosphere a series of turbulent layers ...
Top-down strategies based on adaptive fuzzy rule-based systems for daily time series forecasting
(Elsevier Science BvAmsterdamHolanda, 2011)
Active directional modifier adaptation for real-time optimization
(Pergamon-Elsevier Science Ltd, 2018-07)
Modifier adaptation is a real-time optimization (RTO) methodology that uses plant gradient estimates to correct model gradients, thereby driving the plant to optimality. However, obtaining accurate gradient estimates ...