This paper proposes the novel emotion dynamic equation for emotion implementation like human's emotion. Almost general method use artificial approach such as neutral networks to classify emotion by using speech an...
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This paper proposes the novel emotion dynamic equation for emotion implementation like human's emotion. Almost general method use artificial approach such as neutral networks to classify emotion by using speech and face image data for human's emotion recognition. But high-dimension and large size of this data cause low-speed learning in robot system. The main idea of the proposed dynamic equation method is to dynamically express emotion by multi-agent function.
Using an equivalent transfer function representation (TFR) it is easier to investigate the error properties of state-feedback/observer (SFO) topologies of modern control systems. The TFR is used to explain why an SFO ...
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Using an equivalent transfer function representation (TFR) it is easier to investigate the error properties of state-feedback/observer (SFO) topologies of modern control systems. The TFR is used to explain why an SFO can radically reduce large model errors. Then the same principle is applied together with Youla-parametrization (YP) introducing a new class of regulators.
The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter-Varying (LPV) state-space models into polytopic model form, namely, to parameter-varying convex com...
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This paper falls in the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytopi...
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This paper deals with the topic of qLPV statespace model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytop...
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Our approach to the ImageCLEF 2010 tasks is based on Histogram of Oriented Gradients descriptors (HOG) and Okapi BM25 based text retrieval. We extracted feature vectors to describe the visual content of an image regio...
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Our approach to the ImageCLEF 2010 tasks is based on Histogram of Oriented Gradients descriptors (HOG) and Okapi BM25 based text retrieval. We extracted feature vectors to describe the visual content of an image region or the entire image. We trained a Gaussian Mixture Model (GMM) to cluster the feature vectors extracted from the image regions. To represent each image with only one vector we computed a Bag-of-Words (BOW) model from GMM probabilities of HOG descriptors. We trained linear regression classificators for the Photo Annotation task. To improve our textual ranking in the Wikipedia MM task we successfully expanded the textual query based on the visual ranking.
Course material of basic control theory has been overviewed and updated recently at the Faculty of Electrical Engineering and informatics, BME. The paper describes shortly the contents and the teaching methods of the ...
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The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter-Varying (LPV) state-space models into polytopic model form, namely, to parameter-varying convex com...
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ISBN:
(纸本)9781424476527
The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter-Varying (LPV) state-space models into polytopic model form, namely, to parameter-varying convex combination of Linear Time Invariant (LTI) systems. The main advantage of the TP model transformation is that it is executable in a straightforward way and the Linear Matrix Inequality (LMI) based control design frameworks can immediately be applied to the resulting polytopic models to yield controllers with tractable and guaranteed performance. The main contribution of this paper is that it represents the friction of a DC servo drive in TP model form, automatically designs LMI based controller for friction compensation. The reference signal compensation is also based on the TP model transformation. The results were simulated for speed control of the DC servo drive and were compared to other control techniques.
This paper deals with the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polyto...
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ISBN:
(纸本)9789549260014
This paper deals with the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytopic model influences the state value estimation of the LMI based control design. We examine these influences through the control design of the two dimensional aeroelastic system's example. First we define various TP type polytopic model representations of a wing section whose vertices define different convex hulls. In the second step we investigate how these models lead to different performances of the state value estimation.
This paper presents TP (Tensor Product) model type polytopic decomposition of the qLPV state space dynamic model of the proportional valve driven pneumatic cylinder with friction phenomena taken into account. First th...
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This paper presents TP (Tensor Product) model type polytopic decomposition of the qLPV state space dynamic model of the proportional valve driven pneumatic cylinder with friction phenomena taken into account. First the qLPV model of the system is presented. Then the TP model transformation on the qLPV model is executed in order to obtain CNO (close to normal) convex form. This paper proves that the pneumatic model can exactly be represented by TP model type polytopic form with minimum 81 vertices.
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