New PDF release: Advanced Intelligent Computing: 7th International

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

ISBN-10: 364224727X

ISBN-13: 9783642247279

ISBN-10: 3642247288

ISBN-13: 9783642247286

This ebook constitutes the completely refereed post-conference lawsuits of the seventh foreign convention on clever Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The ninety four revised complete papers offered have been rigorously reviewed and chosen from 832 submissions. The papers are equipped in topical sections on neural networks; desktop studying conception and strategies; fuzzy idea and versions; fuzzy platforms and tender computing; evolutionary studying & genetic algorithms; swarm intelligence and optimization; clever computing in computing device imaginative and prescient; clever computing in photo processing; biometrics with functions to person security/forensic sciences; clever image/document retrievals; traditional language processing and computational linguistics; clever information fusion and data safeguard; clever computing in development acceptance; clever agent and net purposes; clever computing in scheduling; clever regulate and automation.

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

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Contr. 46, 736–742 (2001) 7. : Neural-network-based Robust Fault Diagnosis in Robotic Systems. IEEE Trans. Neural Networks. 8, 1410–1420 (1997) 8. : Learning Approach to Nonlinear Fault Diagnosis: Detectability Analysis. IEEE Trans. Automat. Contr. 45(4), 806–812 (2000) 9. : Fault Detection on Robot Manipulators Using Artificial Neural Networks. Robotics and Computer-Integrated Manufacturing 27, 115–123 (2011) 10. : Two Fault Detection and Isolation Schemes for Robot Manipulators Using Soft Computing Techniques.

This will be used to detect, isolate and identify the type of faults function. 5 Simulation Results In order to verify the performance of our proposed fault diagnosis scheme, the two link planar robot manipulator is given as an example to illustrate the FDI scheme for robot manipulator. Simulation results are presented in this section, the link parameters of the manipulator are given in table 1. Table 1. 5 link ' s weight mi ( Kg ) 10 7 The dynamic of robot manipulator: ⎡τ 1 ⎤ ⎢τ ⎥ = M ⎣ 2⎦ ⎡ q1 ⎤ ⎡ f1 ⎤ ⎡τ d1 ⎤ + + V ⎢ q ⎥ m ⎢ f ⎥ + ⎢τ ⎥ ⎣ 2⎦ ⎣ 2 ⎦ ⎣⎢ d 2 ⎦⎥ Where M is given by: ⎡(m1 + m2 )a12 + m2 a22 + 2m2 a1a2 c2 M =⎢ m2 a22 + m2 a1a2 c2 ⎣ m2 a22 + m2 a1a2 c2 ⎤ ⎥ m2 a22 ⎦ (15) 30 M.

Assume that the matrix C(t) is Schur stable. 3 Main Results In this section, we employ both the delays bi-decomposition approach and the delays N-decomposition approach to derive some new and less conservative stability criteria. We begin with the discrete and neutral delays bi-composition approach. 1 Stability Analysis for the System without Uncertainties First, consider the nominal system of (1), that is the system x˙ (t) − C x˙ (t − τ ) = Ax (t) + Bx (t − h) + D x (t0 + θ) = φ (θ) , ∀θ ∈ [−max {τ, h, r} , 0] .

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Advanced Intelligent Computing: 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers by Lingzhi Wang, Jiansheng Wu (auth.), De-Shuang Huang, Yong Gan, Vitoantonio Bevilacqua, Juan Carlos Figueroa (eds.)


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