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Bucio A.R.,National Polytechnique Institute | Flernandez-Becerril A.,National Polytechnic Institute of Mexico | Robles C.M.A.G.,National Polytechnic Institute of Mexico | Ramirez M.P.T.,National Polytechnic Institute of Mexico
Lecture Notes in Engineering and Computer Science | Year: 2014

We study the performance of the numerical method for solving the forward problem of the two-dimensional impedance Equation [15]. This numerical method is based upon the elements of the modern Pseudoanalytic Function Theory. Considering divide and conquer technique for constructing the parallel algorithm, some sub process can be taking advantage by processing them independently, we parallellze some processes of the numerical method through CUDA technology, obtaining considerable reduction of the temporal complexity. The processing time of the posed method is evaluated comparing with its sequential version and the speed-up rate of the parallel algorithm respect to the sequential one posed in [15]. The collection of experiments are displayed for illustrating its effectiveness. Source


Salgado I.,National Polytechnique Institute | Chairez I.,National Polytechnique Institute
Neurocomputing | Year: 2013

State estimation for uncertain systems affected by external noises has been recognized as an important problem in control theory for either discrete and continuous plants. This paper deals with the state observation problem when the discrete-time dynamic model of a plant is partially unknown and it is affected by some sort of uncertainties and external perturbations. Recurrent Neural Networks (RNN) have shown several advantages to treat many different control and state estimation problems. In this paper, a new discrete-time Luenberger-like observer using the structure of a RNN is proposed. The class of discrete-time nonlinear system just has the input-output pairs as available information. The neural observer is training off-line using a class of least mean square method for matrix parameters. Lyapunov theory is employed to obtain the upper bounds for the weights dynamics as well for the estimation error and the learning laws to ensure the convergence of the observer. Simulation results using the van der Pol oscillator as data generator are presented to demonstrate the effectiveness of the proposed neural observer. © 2012 Elsevier B.V. Source


Nahounou S.C.,Agro industrial unit of Palmci Boubo | Koua H.K.,University Of Cocody Abidjan | Aboua L.R.N.,University Of Cocody Abidjan | Agnakpa G.J.,National Polytechnique Institute | Seri-Kouassi B.P.,University Of Cocody Abidjan
African Journal of Agricultural Research | Year: 2010

Coelaenomenodera lameensis (Coleoptera, Chrysomelidae: Hispinae) is a dangerous pest of oil palm (Elaeis guineensis, Jacquin 1963). Two sanitary control methods (IRHO/CIRAD method) were compared for the first time on the agro-industrial unit of Toumanguié (Côte d'Ivoire). PRIOU method examines twice more trees and 4 times more palms than the IRHO-CIRAD's. Yet the latter presented a rate of sampling of leaflets 10 times superior to the first method and was more economic and sensitive in the detection of the infestation zone (23 against 15). However the PRIOU method detected, a larger total infestation zone (150 ha against 94). IRHO/CIRAD method provides a better anticipation of probable damage before it occurs. The PRIOU method circumscribed a larger total surface of infested zones. These results are essential in the sanitary management of palm plantations. © 2010 Academic Journals. Source


Salgado I.,National Polytechnique Institute | Yanez C.,National Polytechnique Institute | Camacho O.,C1DETEC | Chairez I.,Professional 1nterdisciplinary
Proceedings of the 6th Andean Region International Conference, Andescon 2012 | Year: 2012

The Proportional Derivative controller (PD) has been successfully implemented in many real-time applications. It is well-known, that the PD is composed by a proportional and a derivative terms of the signal error. However, the main problem in the implementation of this controller is related with the error signal derivative. Most of the existing results obtain the derivative based on first order filters. This approach is not useful if the signal is noisy and uncertain. In the present paper, the so-called Super-Twisting Algorithm (STA), that is a second order sliding mode approach, is implemented as a robust exact differentiator because it can reach the derivative of a signal in finite time. The closed loop stability of the proposed controller is analyzed in terms of a non-smooth Lyapunov function. Finite time convergence of the tracking error into a boundary layer is obtained. With a slightly modification in the control law with the addition of a discontinuous term, finite time convergence of the error to zero is obtained. Numerical results are given to show the difference between the classical PD and the proposed PD with the STA differentiator. © 2012 IEEE. Source


Mayorga I.L.,National Polytechnique Institute | Rivero-Angeles M.E.,National Polytechnique Institute | Gutierrez-Torres C.C.,LABINTHAP SEPI ESIME ZACATENCO | Jimenez-Bernal J.A.,LABINTHAP SEPI ESIME ZACATENCO | And 2 more authors.
Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012 | Year: 2012

Wireless Sensor Networks (WSNs) can be typically used to achieve Continuous Monitoring (CM) or Event-Detection inside the supervised area. In CM applications each sensor node transmits periodically its sensed data to the sink node while in Event-Detection Driven (EDD) applications, once an event occurs, it is reported to the sink node by the sensors within the event area. Applications using both continuous monitoring and event driven reporting can also be considered. In this paper, we investigate such hybrid WSNs. Specifically, we propose two different strategies that explicitly assign a time period for the event reporting data by means of the NP-CSMA random access protocol. Both strategies take advantage of the clustered based architecture which assign a TDMA schedule for the continuous monitoring data transmission. By doing so, the continuous monitoring clusters are also used for the event reporting. Hence, no extra energy is consumed for separate event clusters. The performance of these strategies is analyzed for low and high event rate occurrence. These strategies are compared to both continuous monitoring protocols (such as LEACH) and event driven reporting protocols (such as TEEN). © 2012 IEEE. Source

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