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Neuro-Fuzzy Wavelet based Adaptive MPPT Algorithm for Photovoltaic Systems

ABSTRACT

An intelligent control of photovoltaics is necessary to ensure fast response and high efficiency under different weather conditions. This is often arduous to accomplish using traditional linear controllers, as photovoltaic systems are nonlinear and contain Continue reading

Traction Power System Capacity Limitations at Various Traffic Levels

The aim, and main contribution, of this paper is to propose a fine-tuned fast approximator, based on neural networks, that uses aggregated traction system information as inputs and outputs. This approximator can be used as an Continue reading

Event-triggered Control of Multi-agent Systems: Pinning Control, Cloud Coordination, and Sensor Coverage

A multi-agent system is composed of interconnected subsystems, or agents. In control of multi-agent systems, the aim is to obtain a coordinated behavior of the overall system through local interactions among the Continue reading

Supporting Human–Robot Interaction Based on the Level of Visual Focus of Attention

We propose a human-robot interaction approach for social robots that attracts and controls the attention of a target person depending on her/his current visual focus of attention. The system detects the Continue reading

Compressive Quantization for Scalable Cloud Radio Access Networks

With the proliferation of new mobile devices and applications, the demand for ubiquitous wireless services has increased dramatically in recent years. The explosive growth in the Continue reading

Nested Sampling and its Applications in Stable Compressive Covariance Estimation and Phase Retrieval with Near-Minimal Measurements

Compressed covariance sensing using quadratic samplers is gaining increasing interest in recent literature. Covariance matrix often plays the role of a sufficient statistic in many signal and Continue reading