In real-world scenarios, rotating machinery consistently introduces new fault classes, but intelligent fault diagnosis methods mostly rely on the closed-world assumption, expecting only known fault classes during test...
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This paper considers the problem of track correlation for the targets obeying general nonlinear dynamics. Based on the quasi-consistent extended Kalman filter(QCEKF), a novel track correlation algorithm is proposed. W...
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ISBN:
(纸本)9781467374439
This paper considers the problem of track correlation for the targets obeying general nonlinear dynamics. Based on the quasi-consistent extended Kalman filter(QCEKF), a novel track correlation algorithm is proposed. With the filtering error evaluated by the QCEKF, the proposed track correlation algorithm is proven to ensure that the probability of acceptable fault is lower than the desired value. In the simulation for several typical scenarios, the feasibility and effectiveness of the algorithm are validated.
Many algorithms have been proposed for mining fuzzy association rules in static datasets with quantitative attributes. However, there is few study on mining fuzzy association rules in data streams. This paper presents...
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To find global frequent itemsets in a multiple, continuous, rapid and time-varying data stream, a fast, incremental, real-time, and little-memory-cost algorithm should be used. Based on the max-frequency window model,...
Recursive subspace identification methods have been an active area of research in recent years. In this paper, a recursive version of a closed-loop subspace method is proposed for on-line system modeling. The algorith...
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From the view of combination of stereo vision and robot control, an active stereo vision for object tracking and location system is built to work on flexible manufacturing system. A method based on local HSV image and...
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From the view of combination of stereo vision and robot control, an active stereo vision for object tracking and location system is built to work on flexible manufacturing system. A method based on local HSV image and shape of object to recognize object is used for robot tracking. After the color segment, use the knowledge of shape of objects to recognize objects. And a technique for camera calibration based on plane square is proposed. It only requires the camera to observe a square at two (or more) different unknown orientations. Use the result of object recognize and camera calibration the robot can position and track the object. At the last of the paper, the results of object tracking experiments prove that the method is correct.
This paper considers the adequate sets and the normal forms of general logical mappings. First, the problems for k-valued logical functions and for mix-valued logical functions are considered. The adequate sets and th...
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The optimization of mix-valued logical dynamic networks is considered. Using the input-state incidence matrix of mix-valued logical control networks and some known properties of optimal control of such networks, a Flo...
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This paper gives a systematic survey on the semi-tensor product approach to logical systems such as Boolean (control) networks. First the history of Boolean networks is reviewed, and the mathematical frameworks for Bo...
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This paper considers the mix-valued logical control networks. Using the framework of game theory and semi-tensor product, the dynamics is converted to an algebraic form. Then the topological structure is investigated,...
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ISBN:
(纸本)9787894631046
This paper considers the mix-valued logical control networks. Using the framework of game theory and semi-tensor product, the dynamics is converted to an algebraic form. Then the topological structure is investigated, and an algorithm is proposed to find all the cycles. The optimal trajectory is proved to converge to a certain cycle. Hence the optimal control is revealed among cycles.
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