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A hybrid convolution tree kernel is applied to extract of the history evolution information. The hybrid kernel consists of two individual convolution kernels: a Path kernel, which captures predicate-argument link features, and a Constituent Structure kernel, which captures the syntactic structure features of arguments. The Predicate-Arguments Feature (PAF) kernel was extracted and decomposed into...
This paper explores the experimental design and identifiability problems for both closed and open quantum systems. In general, the identifiability of quantum systems depends on both the choice of model sets and experimental design. The limits of identifiability in certain experimental settings and ways to improve the identifiability of model parameters by changing experimental conditions are investigated...
Cerebellar model articulation controller (CMAC) has been already validated that it can approximate a nonlinear function over a domain of interest to any desired accuracy. This paper proposes an adaptive CMAC (PIACMAC) system with a PI-type learning algorithm. The PIACMAC system is composed of a CMAC and a compensation controller. CMAC is used to mimic an ideal controller and the compensation controller...
In recent years, the mobile equipments with powerful functions and convenient service feature are getting more and more popular. Those mobile equipments not only provide us many types of wireless network connections services but also with one of popular service which is video streaming. However, the most concerned problem is handover between networks during the video streaming transmission. So we...
A direct and rigid algorithm approach for large-scale distribution power flow analysis is proposed in this paper. This algorithm used two primary matrices: BI and ZV-BC. Two matrices, which are built from the topological characteristics of distribution networks, are used to achieve the power flow solutions. BI matrix is the bus injection to branch current matrix and the ZV-BC matrix describes the...
This paper proposes the algorithm to analyze parameters of the complex exponential signal by the Newton-Raphson method. The parameters of complex exponential signal include angular velocity, damping, amplitude, and phase. This algorithm takes the time-domain data as the reference. According to differing positions on the complex plane, the relative algorithm will be established. The nonlinear equations...
This paper develops an intelligent robust control algorithm for a class of uncertain nonlinear multivariable systems. The proposed control algorithm consists of an adaptive recurrent cerebellar-model-articulation-controller (RCMAC) and a robust controller. Based on the Hinfin control approach, the robust controller is designed to suppress the residual of approximation error between ideal controller...
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