By Sundarapandian Vaidyanathan (auth.), David C. Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai (eds.)
This publication constitutes the lawsuits of the 1st foreign convention on Advances in Computing and data know-how, ACITY 2011, held in Chennai, India, in July 2011. The fifty five revised complete papers provided have been conscientiously reviewed and chosen from a variety of submissions. The papers characteristic major contributions to all significant fields of the pc technology and knowledge know-how in theoretical and sensible aspects.
Read Online or Download Advances in Computing and Information Technology: First International Conference, ACITY 2011, Chennai, India, July 15-17, 2011. Proceedings PDF
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Extra resources for Advances in Computing and Information Technology: First International Conference, ACITY 2011, Chennai, India, July 15-17, 2011. Proceedings
This approach has practical and technical benefits for the reduced-order controller design for large scale linear systems with high dimension and complexity. The motivation for the observer-based reduced order controllers stems from the fact that the dominant state of the linear plant may not be available for measurement and hence for implementing the pole placement law, only the reduced order exponential observer can be used in lieu of the dominant state of the given discrete-time linear system.
Suppose that the assumptions (H1)-(H3) hold. Let S1 and S2 be defined as in Theorem 1. For the reduced-order model S2 , the feedback control law u(k) = Fs xs (k) (26) stabilizes the dominant state xs if and only if the matrix Fs is such that As + Bs Fs is convergent. If the system pair (As , Bs ) is controllable, then we can always construct a feedback control law (26) that stabilizes the dominant state xs of the reduced-order model S2 having any desired speed of convergence. In practical applications, the dominant state xs of the reduced-order model S2 may not be directly available for measurement and hence we cannot implement the state feedback control law (26).
Khanam,200 8 • • • 8. Msiza, B. LekeBetechuoh, F. Nelwamond o and N. Msimang,20 09 • A novel idea is proposed for gradient based segmentation. Mean of gradients and their standard deviation is calculated. Orientation filed is estimated accurately. Core point is located using Poincare Index. Defines new rule-based classifier for classification. • • • --- Works on low quality images. Optimal Core point is detected. Can classify fingerprints in case of missing data for loops. • Table 4. Summary of methods for removal of spurious singular points Will fail if singular points are detected.
Advances in Computing and Information Technology: First International Conference, ACITY 2011, Chennai, India, July 15-17, 2011. Proceedings by Sundarapandian Vaidyanathan (auth.), David C. Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai (eds.)