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Search results for: nonlinear systems
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Year: 2011, Volume: 11, Number: 4
... synaptic circuit that implements the learning Huxley model is described by a set of complex nonlinear rule, based on the spike timing dependent plasticity (STDP) mechanism [ ... can generate and reproduce behaviors similar to reconfigurable logic platform implementation, appropriate biological neural systems, being appropriate in experiments for neural network topologies exploration. Digital circuits to ...
Year: 2011, Volume: 11, Number: 3
... to be always synchronised to the variable fundamental the other hand, the use of nonlinear devices and the time- frequency. The DFT then accurately tracks the amplitude ... with the pace faster then one period of the fundamental harmonic (20ms in 50Hz systems) [12], [22]. Larger 1i guaranties a faster ...
Year: 2011, Volume: 11, Number: 3
... the we obtain the approximate transfer function symbolic form complexity of the system equations, nonlinearities, time of first order: variations of equation coefficients, saturation, etc ... . The PI regulator coefficients used in generator prototype along with the associated power control systems are usually computed based on simplified electronics module in order to analyze their response ...
Year: 2011, Volume: 11, Number: 4
... the current and power. The correction has to be nonlinear and parametrical due to the solar irradiation and the ... we distinguish the graphs with a relative power real photovoltaic systems works round the maximum output Pmpp power [19 ... . A so-called physical model is also developed using the SimPowerSystemsTM+ library. The described PV panel model is ...
225. PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller
Year: 2011, Volume: 11, Number: 4
... Parameters obtained from the application of K D) in the control of time-delay and nonlinear systems [2 ], PID Neural Network training algorithm on the speed model ... difficult to characteristics of PID Neural Network controller for single have mathematical models of such systems in practice. input and single output systems. PID Neural Network is a ...
Year: 2011, Volume: 11, Number: 4
... , the hybrid learning As explained above, the proposed closed-loop algorithm (back-propagation for nonlinear parameters and segmentation gives optimal segmentation intervals for least squares method for linear parameters ... as variable illumination by including feedback control of the object In a number of robotic systems using stereo vision for segmentation in stereo images. The approach used is to ...
Year: 2011, Volume: 11, Number: 3
... [12] H. W. Kuhn and A. W. Tucker. Nonlinear programming. In Proc. 2nd Berkeley Symposium on Mathematical Statistics& Probability, ... Myong H. KANG3, Pedro N. SAFIER4 1 Center for High Assurance Computer Systems, Code 5540 Naval Research Laboratory, Washington, DC 20375 moskowitz@itd.nrl.navy.mil ...
Year: 2011, Volume: 11, Number: 3
... and calculated centers of clusters, inappropriate constructing an arbitrary nonlinear mapping from multiple value selection of the number of ... as the center of the class. Because of the nonlinearity of the rosette pattern, the number of scan ... comprehensive fuzzy evaluation," IEEE Tran. on Fuzzy Systems, vol. Englewood Cliffs, NJ, 1988 ...
Year: 2011, Volume: 11, Number: 3
... our work, we propose a solution to solve the problem derivative of the sigmoid nonlinear function fl'( .) at the lth related to the disproportionate weights ... Volume 11, Number 3, 2011 Fault Tolerant Neural Network for ECG Signal Classification Systems Mostefa MERAH1, 2, Abdelazziz OUAMRI2, Amine NAÏ T-ALI1, Mokhtar KECHE2 ...
Year: 2011, Volume: 11, Number: 2
... Index Terms €” non-singular, terminal sliding mode control, nonlinear systems [14] -[ 15]. ... hand, because the movement of characteristics such as high nonlinearity and time-variation, the sliding mode is asymptotically stable ... Terms €” non-singular, terminal sliding mode control, nonlinear systems [14] -[ 15]. To ...
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