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Anti-windup saturation compensation schemes in two-link flexible arms are studied. The singular perturbation approach is used to decompose the nonlinear system into a rigid subsystem and a fast subsystem, which allows a composite control design for the original system. A neural network is designed to compensate the saturation nonlinear in rigid subsystem, and a robust controller is employed to attenuate...
This paper presents the theoretical analysis, design and simulation of a single phase single stage boost dc-ac converter powered from PV array. The main attribute of the boost inverter topology is the fact that it generates an ac output voltage larger than the dc input one, depending on the instantaneous duty cycle. This paper proposes an accurate solar panel simulation to incorporate the temperature...
According to the defects of the XCTD (Expendable Conductivity, Temperature, and Depth) Profiler low data transmission rate and reliability, a modem underwater data transmission system is introduced. The absolute phase-shift demodulated signal of the phase ambiguity problem is overcome by π/4-QDPSK, which is a linear narrow-band digital modulation technique and has high bandwidth efficiency, low bit...
This paper designs an RFID IP core by utilizing FPGA technology, which has advantages of internal task scheduling and high-speed encoding & decoding. The RTL design of base-band communication IP core based on modular method is presented. The RFID simulation model is established and the experiment results show that the proposed communication simulation model has a good performance, and the IP-core...
Evaluation of certain properties of calcined alumina or special grade alumina is necessary and important to its manufactures. Generally it is determined in the laboratories using different instrumental and manual methods, which is cost and time intensive. In the present work, evolving neural network has been used for the estimation of a property given few others. To evolve the neural network model...
The use of neural networks as a nonlinear predictor in many applications including predictive image coding has been successfully presented by many researchers. However, almost all of the research papers have focused on the architecture of the neural network and very little attention has been given to the design of the training and testing data. This paper demonstrates how the choice of the training...
This paper presents a novel application of the self-organised multilayer perceptrons inspired by the immune algorithm in financial time series prediction. The simulation results were compared with the multilayer perceptrons and the functional link neural networks. The prediction capability of the various neural networks was tested on ten different data sets; the US/UK exchange rates, the JP/US exchange...
This paper deals with an intelligent control of an autonomous mobile robot which should move safely in an environment to find a target. We describe our approach to solve the motion-planning problem in mobile robot control using artificial neural networks technique. The algorithm constructs a collision-free path for moving robot among obstacles based on two neural networks. The first neural network...
Urban public traffic is an important basic infrastructure related to the nationpsilas economy and the peoplepsilas livelihood, which is social cause of public good closely linked people's production and life. In order to evaluate the urban public traffic satisfaction scientifically, based on the analysis of the urban public traffic present and problems, this paper establishes a satisfaction evaluation...
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