Bullet identification is a complicated work which demands high accuracy rate. In this paper, we try to find a reliable and fast automatic bullet identification algorithm using image processing technology. The key and ...
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The performance of three different Entity-Attribute-Value (EAV) storage formats for Clinical Data Repositories (CDRs) is compared with regards to querying millions of data points from clinical sources to assess the am...
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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 manipulation convex hull ...
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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 manipulation convex hull of the polytopic model influences the control performance which is derived by LMIs. 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 control performances.
This paper presents a triple-random ensemble learning method for handling multi-label classification problems. The proposed method integrates and develops the concepts of random subspace, bagging and random k-labelset...
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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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ISBN:
(纸本)9781424476527
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 polytopic model influences the feasibility of the LMI based control design and the resulting control performances. 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 control performances.
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.
Scientists today conduct new research via software-based experimentation and validation in a host of disciplines. Scientific software represents a significant investment due to its complexity and longevity yet there i...
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Bayesian games can be used to model single-shot decision problems in which agents only possess incomplete information about other agents, and hence are important for multiagent coordination under uncertainty. Moreover...
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The objective of the discrete-time modeling tools is twofold. First, they give an insight into the basic ideas of discrete-time modeling of dc-dc converters for university students and interested power electronics spe...
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The digital hardware implementation of various fuzzy operations furthermore of fuzzy flip-flops has been the subject of intense study and application. The fuzzy D flip-flop derived from fuzzy J-K one is a single input...
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ISBN:
(纸本)9789604741731
The digital hardware implementation of various fuzzy operations furthermore of fuzzy flip-flops has been the subject of intense study and application. The fuzzy D flip-flop derived from fuzzy J-K one is a single input - single output unit with sigmoid transfer characteristics in some particular cases, proper to use as neuron in a Fuzzy Neural Networks (FNN). In this paper we propose the hardware realization of fuzzy D flip-flops based on Lukasiewicz norms.
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