With the propagation of applications on the internet, the internet has become a great information source which supplies users with valuable information. But it is hard for users to quickly acquire the right informatio...
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With the propagation of applications on the internet, the internet has become a great information source which supplies users with valuable information. But it is hard for users to quickly acquire the right information on the web. This paper an intelligent agent for internet applications to retrieve and extract web information under user's guidance. The intelligent agent is made up of a retrieval script to identify web sources, an extraction script based on the document object model to express extraction process, a data translator to export the extracted information into knowledge bases with frame structures, and a data reasoning to reply users' questions. A GUI tool named Script Writer helps to generate the extraction script visually, and knowledge rule databases help to extract wanted information and to generate the answer to questions.
This paper addresses the problem of controlling a nonlinear process when linear models have been identified at different operating points. A multimodel approach is used to to identify and contro l highly nonlinear pro...
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In this paper a novel neural fuzzy inference network (NFIN) it is proposed. The NFIN represent a modified Takagi-Sugeno-Kang (TSK) type fuzzy rule based model with neural network learning ability. The rules in the NFI...
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In this paper we present a method to quantify the cardiac blood irrigation through echographic images for heart disease diagnosis. This method relies on the registration of acquired images with a heart model in order ...
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The feedback control structures are required in the presence of any kind of uncertainty. The benefits of the feedback are mainly paid with an excessive bandwidth that amplifies the sensor noise, saturating the actuato...
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In this paper we present a method to quantify the cardiac blood irrigation through echographic images for heart disease diagnosis. This method relies on the registration of acquired images with a heart model in order ...
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In this paper we present a method to quantify the cardiac blood irrigation through echographic images for heart disease diagnosis. This method relies on the registration of acquired images with a heart model in order to provide a robust segmentation of the cardiac walls, giving the doctor precise and non subjective anatomical information, as well as to advance towards future works oriented to automatic diagnosis.
This paper investigates the use of a production control technique known as the Response Surface methodology as a rapid prototyping tool for real time control design. The problem under consideration here is the respons...
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This paper investigates the use of a production control technique known as the Response Surface methodology as a rapid prototyping tool for real time control design. The problem under consideration here is the response of automotive drivetrains to aggressive driver input. The first torsional mode (otherwise known as "shuffle" mode) of automotive drivelines is excited by torque transients and is typically around 2-5 Hz. The effect is particularly severe during step changes from the throttle pedal ("tip in" or "tip out"), manifesting itself as an undesirable low frequency longitudinal acceleration oscillation, leading to driver discomfort. The control of this aspect of "driveability" (the error between expected vehicle response and actual vehicle response to an arbitrary control input) is examined, using feedforward control. The overriding principle to be obtained in this examination is the assessment of electronic throttle control in the context of rapid prototyping. The response surface methodology is adopted to achieve this goal. The potential of the electronic throttle for launch control is analyzed and experimentally verified.
In this paper, subspace-based algorithms for the simultaneous identification of the linear and nonlinear parts of multivariable Hammerstein and Wiener models are presented. The proposed algorithms consist basically of...
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This paper describes a new approach to the synthesis of controllers for power converters based on the theory of synergetic control. The controller synthesis procedure is completely analytical, and is based on fully no...
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ISBN:
(纸本)0780374045
This paper describes a new approach to the synthesis of controllers for power converters based on the theory of synergetic control. The controller synthesis procedure is completely analytical, and is based on fully nonlinear models of the converter. Synergetic controllers provide asymptotic stability with respect to the required operating modes, invariance to load variations, and robustness to variation of converter parameters. With respect to their dynamic characteristics, synergetic controllers are superior to the existing types of PI controllers. We present here the theory of the approach, a synthesis example for a boost converter, simulation results, and experimental results.
In this paper a novel neural fuzzy inference network (NFIN) it is proposed. The NFIN represent a modified Takagi-Sugeno-Kang (TSK) type fuzzy rule based model with neural network learning ability. The rules in the NFI...
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In this paper a novel neural fuzzy inference network (NFIN) it is proposed. The NFIN represent a modified Takagi-Sugeno-Kang (TSK) type fuzzy rule based model with neural network learning ability. The rules in the NFIN are created and adapted in an on-line learning algorithm. The structure learning together with the parameter learning forms the learning algorithms for the neural fuzzy network. It is proved that NFIN can greatly reduce the training time, avoid the overtuned phenomenon and has perfect regulation ability.
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