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For a double-pendulum crane system with multi-state variables, strong coupling and under-actuated, the mathematical model is a nonlinear second order differential equations and the controller is a multi-input single-output system, leading to the challenge of controller design. Most of the existing good methods are based on advanced control theories or optimization theories, but it is difficult to...
Islanding detection is one of the most important functions in the photovoltaic power generation system. Conventional passive islanding detection methods suffer from the existence of non-detection zone, while active islanding detection approaches are devastating to power quality. To realize the detection of the non-detection zone and devastating, a novel islanding detection method based on positive...
Robots active olfaction based on Genetic algorithm, in order to make the robot car plume in a specific environment, can be faster and more accurate to find the odor source, through the genetic algorithm crossover and mutation operator improved, the formation of a new improved genetic algorithm. In the five assumptions, will improve the genetic algorithm is applied to the robot active olfaction study,...
In the embedded distribution control system, the analogue quantity under test is usually non-linear. In this paper, the concept of variable threshold neuron for the detecting of non-linear analogue is adopted. The subsection linearization and subsection variable slope are chosen as its training methods. It is shown by analyzing and comparing for the two training methods that the subsection linearization...
Rigid-flexible printed circuit boards (RFPCB) has the advantages of providing not only the flexibility and bendability required by many electronic products, but also the reliability required by the key electronic components. In this study, based on one kind of RFPCB which would be used for a wearable device prototype, the structure optimization was performed by simulations. Through the structural...
In this paper, based on our proposed mal-packet self-propagation models in wireless sensor networks, we use TOSSIM to study their propagation dynamics. We also present a preliminary study of the feasibility of mal-packet defense in sensor networks. Specifically, based on random graph theory and percolation theory, we propose the immunization of the highly-connected nodes in order to partition the...
The paper puts forward a variable threshold value artificial neuron structure. The neural function between the output and input can be accurately trained by increasing the density of threshold value. Combined with characteristic of distributed control systems, a long-distance intelligent marking method is proposed and is applied to carry out the process of training threshold value and weight coefficient...
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