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This article investigates the problem of fault detection for a class of uncertain systems by a new method. Based on the system's own uncertainty and external disturbances, a more effective fault detection method is designed by the method of homogeneous polynomial function. This detection method not only suppresses the effects of disturbances and uncertainties on the residual signal but also makes...
In this paper, the H∞ filtering problem for singular stochastic systems with Brownian motions is studies. The design of singular H∞ filter is focused such that the filtering error system is asymptotically mean square admissible and meet prescribed H∞ performance level. For design purpose, the existence condition of the proposed singular H∞ filter is formulated according to the linear matrix inequality...
Reliability is a major concern for power systems that involve different types of uncertainty, including notably contingencies and intermittent wind generation. Contingency-constrained unit commitment satisfying the “N − 1 rule” is extremely complex, and the issue is now compounded by the drastic increase in intermittent wind generation. This paper develops a novel interval optimization approach for...
This paper presents a distinctive rectangle feature Multi-Scale Local Ternary Patterns (MS-LTP) for face detection. The MS-LTP is a generalization of the Local Ternary Patterns (LTP) [1] and is able to capture larger scale structures of faces. It's less sensitive to noise and more discriminative that can reduce the number of weak classifiers for the AdaBoost learning algorithm to construct a strong...
Slow motion replays are usually linked with semantically important highlights in broadcast sports video. A replay often happens between two logo transition sequences, which can be used to locate replays. In this paper, we present a new method to extract replays based on automatic logo template generation and logo searching. The method utilizes speeded-up robust features (SURF) to find repeating logo...
Many image analysis tasks require an outlier detection procedure to identify the false matches. In this paper, a fast and effective outlier detection method is presented to match images in the uncalibrated case. This method employs a hypothesis test on the consistency of dominant orientations of the feature points to significantly increase the detection speed. Moreover, it can also effectively find...
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