Download Advanced Intelligent Computing: 7th International by Lingzhi Wang, Jiansheng Wu (auth.), De-Shuang Huang, Yong PDF

By Lingzhi Wang, Jiansheng Wu (auth.), De-Shuang Huang, Yong Gan, Vitoantonio Bevilacqua, Juan Carlos Figueroa (eds.)

This booklet constitutes the completely refereed post-conference court cases of the seventh foreign convention on clever Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The ninety four revised complete papers provided have been rigorously reviewed and chosen from 832 submissions. The papers are prepared in topical sections on neural networks; laptop studying concept and techniques; fuzzy concept and versions; fuzzy platforms and tender computing; evolutionary studying & genetic algorithms; swarm intelligence and optimization; clever computing in desktop imaginative and prescient; clever computing in snapshot processing; biometrics with functions to person security/forensic sciences; clever image/document retrievals; ordinary language processing and computational linguistics; clever facts fusion and data protection; clever computing in trend popularity; clever agent and net functions; clever computing in scheduling; clever keep an eye on and automation.

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Extra resources for Advanced Intelligent Computing: 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers

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Obviously the origin moment is associated with the shift of HRRP. The high order central moments play the role of compensating the shift influence of HRRP, but they are sensitive to the fluctuation of HRRP. Gentle undulation of echoes especially those in the range cell far away from the centroid of HRRP will lead to greater variation of the high order central moments[2,6]. To 36 W. Cao et al. ,K. The general high order central moments can reduce the large dynamic range of previous one, thereby can fall its sensitivity resulted from the fluctuation of HRRP.

To this end, the approach of delay decomposition is applied. The reduced conservatism is illustrated in a numerical example. 2 Problem Statement Consider the following neutral system with discrete and distributed delays: x˙ (t) − C (t) x˙ (t − τ ) = A (t) x (t) + B (t) x (t − h) + D (t) x (t0 + θ) = φ (θ) , ∀θ ∈ [−max {τ, h, r} , 0] . t t−r x (s) ds, (1) where x(t) ∈ Rn is the state vector, the time delays τ > 0, h > 0 and r > 0 are assumed to be known, the φ(t) is the initial condition, A(t), B(t), C(t) and D(t) are matrix functions with time-varying uncertainties, that is, A (t) = A + ΔA (t) , B (t) = B + ΔB (t) , C (t) = C + ΔC (t) , D (t) = D + ΔD (t) .

To 36 W. Cao et al. ,K. The general high order central moments can reduce the large dynamic range of previous one, thereby can fall its sensitivity resulted from the fluctuation of HRRP. (2) Entropy Feature In each HRRP, the echoes of scatters fall in several range cells. The change of elevation angle or azimuth of target as well as the interference of environment noise will result in the amplitude fluctuation of HRRPs in time domain. To describe the scattering property of target in every range cell, entropy feature is utilized.

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