The implementation of a new estimation method with alternative process models for the state estimation of the baker’s yeast fermentation is presented. Some of the implementation issues are discussed using the data ob...
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The implementation of a new estimation method with alternative process models for the state estimation of the baker’s yeast fermentation is presented. Some of the implementation issues are discussed using the data obtained from simulation tests.
This paper deals with the robust predictive control, and proposes a new approach based on Laguerre filters modelling. It is shown that this approach of modelling can bring some advantages to the robust predictive cont...
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This paper deals with the robust predictive control, and proposes a new approach based on Laguerre filters modelling. It is shown that this approach of modelling can bring some advantages to the robust predictive control context. Robustness conditions are also given. Simulation results are presented to illustrate the new robust predictive control algorithm. Ce travail propose une loi de commande prédictive assez simple, basée sur un modèle des polynomes de Laguerre. Ce modéle donne une représentation compacte du processus. On montre que cette approche fournit un apport dans la loi de commande prédictive et robuste. Les conditions de robustesse seront aussi présentées ainsi que les résultats obtenus en simulation afin d'illustrer les performances de ce nouvel algorithme de commande prédictive et robuste.
For very large document collections or high volume streams of documents, finding relevant documents is a major information filtering problem. A major aid to information retrieval systems produces a word frequency meas...
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Models and solution procedures were proposed in a previous work for continuous-time production planning, i.e., when production and demand are expressed in terms of rates instead of quantities. This paper investigates ...
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Models and solution procedures were proposed in a previous work for continuous-time production planning, i.e., when production and demand are expressed in terms of rates instead of quantities. This paper investigates the case where demand is discrete, i. e., corresponds to quantities of products that need to be fulfilled at given points in time. After describing the model and the solution procedure, we show how they can be extended to take discrete demand into account. Numerical experiments on an example are presented and discussed
This paper gives the fuzzy control block diagram of elevator group supervisory control expert system and describes the application of fuzzy logic theory in computer elevator group supervisory control system. In the pa...
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This paper gives the fuzzy control block diagram of elevator group supervisory control expert system and describes the application of fuzzy logic theory in computer elevator group supervisory control system. In the paper, the fuzzy control block diagram is compared with the overall system block diagram characterized statistics. The theory of fuzzy inference system discussed in this paper is the basis to establish modern elevator group supervisory control system.
In a recent work the authors derived quaternionic recursions for positions, velocities and acceleration components (inertial, Coriolis and centrifugal) of robot links for robots with only revolute joints (Hachicho, et...
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In a recent work the authors derived quaternionic recursions for positions, velocities and acceleration components (inertial, Coriolis and centrifugal) of robot links for robots with only revolute joints (Hachicho, et al., 1998). In the present paper recursions for the general case, i.e. for robots with both revolute and prismatic joints, are developed
Computation intensive DSP applications usually require parallel/pipelined processors in order to meet specific timing requirements. Data hazards are a major obstacle against the high performance of pipelined systems. ...
Computation intensive DSP applications usually require parallel/pipelined processors in order to meet specific timing requirements. Data hazards are a major obstacle against the high performance of pipelined systems. This paper presents a novel efficient loop scheduling algorithm that reduces data hazards for such DSP applications. This algorithm has been embedded in a tool, called SHARP, which schedules a pipelined data flow graph to multiple pipelined units while hiding the underlying data hazards and minimizing the execution time. This paper reports significant improvement for some well-known benchmarks showing the efficiency of the scheduling algorithm and the flexibility of the simulation tool.
作者：
Jinwon KimGyu-In JeeJang Gyu LeeDoctoral Student
Automatic Control Research Center School of Electrical Eng. Seoul National University Seoul 151-742 Korea Associate Professor
Dept. of Electronics Engineering Konkuk University Seoul 143-701 Korea Director and Professor
Automatic Control Research Center School of Electrical Eng. Seoul National University Seoul 151-742 Korea
As an alternative fusion process of the federated Kalman filter, a gain fusion algorithm is newly proposed in this paper. In this algorithm the optimal covariance and estimate are obtained by using local Kalman gains ...
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As an alternative fusion process of the federated Kalman filter, a gain fusion algorithm is newly proposed in this paper. In this algorithm the optimal covariance and estimate are obtained by using local Kalman gains and estimates. Consequently, this algorithm reduces the amount of communications and avoids the need to calculate inverse covariance matrices in local filters. It is mathematically shown that the suggested algorithm guarantees the global optimality when all local sensors produce equivalent information except their precision. It is prospected that this algorithm may be well suited for implementation of the multisensor navigation systems.
A grey box model-based method for fault diagnosis is proposed in this paper. The method is based on a first principle model of the process unit: a heat exchanger, and on a grey box model of the faults: the deteriorati...
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A grey box model-based method for fault diagnosis is proposed in this paper. The method is based on a first principle model of the process unit: a heat exchanger, and on a grey box model of the faults: the deterioration of the heat transfer surface by aging and the leaking of the outer container. The deterioration of the heat transfer surface is due to material settling, and in old heat exchangers pieces of this material can break off and cause damage in the equipment. A recursive least squares estimator with forgetting factor is used to track both the heat transfer coefficients and the cold side volume. The heat transfer coefficients are estimated both from the hot and cold side equations. The settled material breakage fault is detected via detection of abrupt positive jumps in the estimated heat transfer coefficients using a detector based on a cumulative sum (CUSUM) test. The proposed method enables simultaneous detection of the two fault types considered. Fault localization along the equipment length is also possible when temperature measurements are available along the length.
A novel approach is proposed to the state estimation of a class of nonlinear systems which consist of known linear part and unknown nonlinear part. A linear observer is first designed then a nonlinear compensation ter...
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A novel approach is proposed to the state estimation of a class of nonlinear systems which consist of known linear part and unknown nonlinear part. A linear observer is first designed then a nonlinear compensation term in the nonlinear observer is determined using the proposed "deconvolution method". The B-spline neural network is used to model the estimated compensation term. Three simulation examples are given to compare the effectiveness of the proposed approach and some analytical approaches.
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