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Adaptive control approaches can successfully handle system parametric uncertainties, but can hardly deal with unstructured uncertainties. In adaptive neural network and adaptive fuzzy network approaches, the unstructured uncertainties are converted into parametric ones using artificially selected neural or fuzzy basis functions. In this paper we introduce adaptive wavelet network working concurrently...
This paper analyzed operation characteristics of 5L-ANPC converters under device open failure conditions and proposed fault tolerant control schemes for single and multiple device open failures. Simulation results validated the analysis and control schemes, which allow the converter to continue operating to provide balanced three-phase currents during fault tolerant operation.
Recently, mobile social networking in proximity (MSNP) has gained tremendous attentions, which refers to the social interactions among physically proximate mobile users directly through the Bluetooth/WiFi interfaces on their Smartphones or other mobile devices. MSNP applications can provide users more opportunities to discover and make new social interactions within proximity area, e.g., Airports,...
In this paper, the operation characteristics of five-level active-neutral-point-clamped (5L-ANPC) inverters under device short failure conditions are analyzed. A new fault tolerant control scheme is proposed, which enables continuous operation and generating three-phase sinusoidal currents of 5L-ANPC inverters. The remaining redundant voltage vectors can still be utilized to improve operating performance...
In this paper we present a local channel correlation based zero-forcing (ZF) beamforming framework for the cell edge users. Without the instantaneous CSI (ICSI) assisting, we derive the exact expression of the averaged pairwise error probability (PEP) upper bounds at both of the receivers. According to the derived PEP bounds, an multi-objective optimization problem is formulated to get the elaborate...
Traditional Mean-shift tracking algorithm cannot adjust the tracking windows according to the scale and orientation change of the object during tracking and get accurate localization. This paper combines SURF feature detection with the Mean-shift tracking, which matches the SURF feature in target of current and previous frames, calculate their orientation and proportion of scale to realize a scale...
The penetration test is a crucial way to enhance the security of web applications. Improving accuracy is the core issue of the penetration test research. The test case is an important factor affecting the penetration test accuracy. In this paper, we discuss how to generate more effective penetration test case inputs to detect the SQL injection vulnerability hidden behind the inadequate blacklist filter...
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