In this manuscript, distinct approaches were used in order to obtain the best electrical power estimation from photovoltaic systems located at different selected places in Mexico. Multiple Linear Regression (MLR) and Gradient Descent Optimization (GDO) were applied as statistical methods and they were compared against an Adaptive Neuro-Fuzzy Inference System (ANFIS) as an intelligent technique. The data gathered involved solar radiation, outside temperature, wind speed, daylight hour and photovoltaic power; collected from on-site real-time measurements at Mexico City and Hermosillo City, Sonora State. According to our results, all three methods achieved satisfactory performances, since low values were obtained for the convergence error. The GDO improved the MLR results, minimizing the overall error percentage value from 7.2% to 6.9% for Sonora and from 2.0% to 1.9% for Mexico City; nonetheless, ANFIS overcomes both statistical methods, achieving a 5.8% error percentage value for Sonora and 1.6% for Mexico City. The results demonstrated an improvement by applying intelligent systems against statistical techniques achieving a lesser mean average error.

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It is well known that fiber-radio schemes merge the high speed of the optical links with the wide-coverage and mobility features of wireless systems. In this regard, we present the performance evaluation of a hybrid fiber-radio communication system for video distribution operating in the S-band. We demonstrate experimentally the generation of a series of microwave passband windows over 0.01–10GHz range obtained by the interaction of an externally modulated multimode laser diode emitting at 1.55µm associated to the chromatic dispersion parameter of an optical fiber as well as the length of the optical link. Also, demonstrated experimentally is the transmission of TV-signal coded on the microwave signals located at 2.27GHz and 4.54GHz, its propagation over an optical link of 25.24km, and finally its distribution to multiple users by using an antenna. The originality of this work resides in the fact that the filtered microwave signals used as electrical carriers are function of the distance between the central site and the antenna; therefore it is possible to assign a particular microwave passband for certain services. Experimental results allow us to demonstrate that the Fiber-To-The-Antenna scheme is a promising technique for multiservice distribution

A low power RF amplifier circuit for ion trap applications is presented and described. The amplifier is based on a class-D half-bridge amplifier with a voltage mirror driver. The RF amplifier is composed of an RF class-D amplifier, an envelope modulator to ramp up the RF voltage during the ion analysis stage, a detector or amplitude demodulation circuit for sensing the output signal amplitude, and a feedback amplifier that linearizes the steady state output of the amplifier. The RF frequency is set by a crystal oscillator and the series resonant circuit is tuned to the oscillator frequency. The resonant circuit components have been chosen, in this case, to operate at 1 MHz. In testings, the class-D stage operated at a maximum of 78 mW at 1.1356 MHz producing 225 V peak.