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A class of linear singularly perturbed system and the optimal problem of the upper bound of the perturbed parameter based on the genetic algorithm are considered. Firstly, the problem of the asymptotically stability is studied in the term of Lyapunov stability theory based on the Linear Matrix Inequality (LMI). Then, the standard problem of the upper perturbed parameter to be optimized is presented...
Due to the rapid spinning of space debris, its radar echoes have serious migration through range cell and highly nonstationary, time-varying Doppler. With low pulse repetition frequency (PRF), conventional joint time-frequency imaging methods such as the Wigner-Ville distribution and the short-time Fourier transform cannot obtain well-focused image. To tackle this problem, this paper proposes a novel...
This paper studies the initial orbit determination based on sparse space-based angle measurement and genetic algorithm. The double rho iteration model used by the space-based initial orbit determination is briefly introduced firstly. Because of problems of iteration divergences and self-solutions in the space-based initial orbit determination, the genetic algorithm of SGA and MPGA are then adopted...
Digital reparation of artworks based on digital image processing technique has become a new hotspot. It is active for the development of the cultural relic protection, reparation and relative technology to study the method of applying computer image process into the reparation and enhancement of ancient fresco. The image process including dust removing, color changing, and local statistical enhancement...
In this paper the active device for a class E amplifier is modelled as switch in series with a turn on resistance `Ron'. Assuming an ideal harmonic load is used the switch equations for the voltage and current waveforms are reviewed and then used to examine how `Ron' affects the efficiency of dc to ac power conversion. This ideal harmonic network is assumed to have optimum input impedance at the design...
Synchronous liver metastasis is one of the leading causes of the mortality in colorectal cancer patients. In this study, predictive models based on AdaBoost and logistic regression for detecting colorectal cancer patients with synchronous liver metastasis before operation were built and compared. Information gain method, genetic algorithm and AdaBoost were used for feature selection. The predictive...
The genetic algorithm and its actual application for the parameter identification are represented. Based upon the in-situ investigation of one loess landslide in Gansu, the key parameter in the slope stability analysis, the depth of rainwater infiltration (DRI), is identified utilizing the genetic algorithm. DRI is proposed as a boundary above which the soil is regarded as saturated, and beneath which...
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