This paper presents experimental studies of impedance force tracking control algorithm for a crack sealing robot. The robot is built to find and seal cracks on the pavement. Regulating contact force improves the perfo...
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In this paper, a force control technique is applied to an autonomous aerial helicopter system. Applying a force control technique to a helicopter system is quite new since the helicopter system is mostly used for carr...
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This paper presents an intelligent system for protein secondary structure prediction. The system consists of three pairwisely trained neural networks and a Bayesian inference function applied to the neural network out...
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We present a speaker identification system that uses synchronized speech signals and lip features. We developed an algorithm that automatically extracts lip areas from speaker images, and a neural network system that ...
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Locally spatiotemporal salience is defined as the combination of the local contrast salience from multiple paralleling independent spatiotemporal feature channels. The computational model proposed in this paper adopts...
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In the standard support vector machines for classification, training sets with uneven class sizes results in classification biases towards the class with the large training size. That is to say, the larger the trainin...
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Transformers are a vital part of transmission and distribution systems. Monitoring the transformers for problems before they occur can prevent faults that are costly to fix and result in a loss of service. Current sys...
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Transformers are a vital part of transmission and distribution systems. Monitoring the transformers for problems before they occur can prevent faults that are costly to fix and result in a loss of service. Current systems can provide information about the state of a transformer, but are very expensive to implement. This paper outlines a new approach that is based using light absorbance to monitor the transformer oil. Oil is continually sampled from the transformer, and light is passed through the oil and tested for absorbance. Preliminary experiments demonstrated that a system based on one wavelength could determine the difference between an acceptable or unacceptable sample of oil. Samples of transformer oil were failed in controlled failure modes, which showed a general increase in absorbance during the experiment. Additional wavelengths can be measured, which provides more information about the state of the transformer and makes the system more versatile in determining fault types. All the equipment necessary for the prototype system is outlined, as well as a method for analyzing the data that the prototype can provide.
Allocation problem is one of the most important problems faced by an electric energy supplier under new market environment. In this paper, dual markets allocation for price-taker generator is modeled and researched wh...
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Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data more efficiently with fast convergence and less computational burden. Reinforcement learning based on recursive least-squar...
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This paper presents the hardware implementation of a neural network controller for a nonlinear system. As a learning algorithm for a neural network, the reference compensation technique has been implemented on a low c...
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This paper presents the hardware implementation of a neural network controller for a nonlinear system. As a learning algorithm for a neural network, the reference compensation technique has been implemented on a low cost micro-controller unit (MCU), while PID controllers with counters and PWM generators are implemented on an FPGA chip. Interface between an MCU and a field programmable gate array (FPGA) chip has been developed to complete hardware implementation of a neural controller. The neural controller has been tested for controlling the inverted pendulum as a nonlinear system. Reference compensation technique
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