Frontiers in Adaptive Control Part 2 ppt
... indexed by { } 0,1, 2, , 1kN∈−K , as follows: • 22 02 : k HM χ ∈ • 22 12 : k HM χ ∉ Frontiers in Adaptive Control 34 2. Frequency Dependent Model Validation The main objective of the ... (1994). Modeling of dynamic systems, Prentice-Hall, Inc., ISBN 0-13- 597097-0, NJ Frontiers in Adaptive Control 22 Recursive Least-Squares (RLS) In adaptive controll...
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... The adaptation gain in eq. (23 ) is determined as: The control gains and in eq. (14) are set to be: The weighing matrix in the composite adaptive control (25 ) is determined as: mass ... tracking control, the Lyapunov function (20 ) is considered again. The time- derivative of (20 ) is derived as (21 ). Since the adaptive control law is determined by (25 ),...
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... with 2 10 σ − = . The reference input r is a train of sinusoids up to frequency 20 0 rad/sec. Finally, the plant G to be controlled is sixth order, given by 6 22 22 10 ( 1000) ( 0.0 02 1000 ... space , Frontiers in Adaptive Control 62 4. Particle Filters in Robotic Control and Planning The monograph by Thrun et al. (20 05) gives a comprehensive treatment of the eme...
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Frontiers in Adaptive Control Part 5 potx
... positive definite matrix. Then, ] )( )([ 2 1 min 2 2 min K ε sKεsKss λ λ −≤+− TT . (A.1) Proof: ] )( )([ 2 1 ] )( )([ 2 1 ] )( )([ 2 1 ])([ min 2 2 min min 2 2 min 2 min min min K ε sK K ε sK K ε sK sεsKεsKss λ λ λ λ λ λ λ −−≤ −− −−= +−≤+− TT ... ϑ ϑ ϑϑ ϑϑ ϑ ϑ ⎡⎤ ⎢⎥ ⎢⎥ ⎢⎥ ⎢⎥ ⎢⎥ ⎢⎥ ⎢⎥ ⎢⎥ ⎣⎦ ++∗∗ =+∗ −− ⎡ ⎤ ⎢ ⎥ = ⎢ ⎥ ⎢ ⎥ ⎣ ⎦ && & 12 23 3 22 3 44 4...
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Frontiers in Adaptive Control Part 7 pot
... matrix is given in Section 6 .2. Frontiers in Adaptive Control 144 Ruan X., Ding M., Gong D., & Qiao J. (20 07). On-line adaptive control for inverted pendulum balancing based on feedback-error-learning, ... non-linear systems containing time- varying uncertainties with unknown bounds. International Journal of Control, Vol. 74, No. 3, pp. 25 2 -26 4. Huang A. C., &a...
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Frontiers in Adaptive Control Part 8 doc
... type according to both the human interpretation and machine interpretation Frontiers in Adaptive Control 1 82 Furthermore, the data shows an increase in pending tracks in the smuggling scenarios ... 20 07, 27 6 -28 5, 978-3-540-7 321 5-0, Beijing, China, July 22 -27 , Springer Berlin, Heidelberg De Greef, T.E.; Arciszewski, H.F.R.; Lindenberg, J. & Van Delft, J.H. (...
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Frontiers in Adaptive Control Part 9 docx
... continuous-time nonlinear systems. In American Control Conference, 20 02. Proceedings of the 20 02, volume 1, pages 394-399vol. 1, 8-10 May 20 02. [6] M. A. Golberg. The derivative of a determinant. ... that . 2. This can be shown by noting from (17) that . Since (.) and e are bounded signals and , the integral term exists and it is finite. Frontiers in Adaptive Contro...
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Frontiers in Adaptive Control Part 11 docx
... 20 00a). Frontiers in Adaptive Control 26 2 0 100 20 0 300 400 0 0.05 0.1 0.15 0 .2 0 .25 0.3 0.35 0.4 0.45 0.5 Step Response Time ( sec ) Amplitude -100 -50 0 50 Magnitude (dB) 10 -3 10 -2 10 -1 10 0 -360 -27 0 -180 -90 0 Phase ... minimize is continuous (Pintér, 1996). Taking all these into account, and considering that the set of functions to minimize in this case is...
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Frontiers in Adaptive Control Part 12 pdf
... J. D. Bronzino, B. D. Bronzino (Eds)CRC Press, ISBN 0849 321 220 Bernstein, D. (20 02) . Feedback control: an invisible thread in the history of technology. IEEE Ctrl Syst Mag, 22 (2) , pp 53-68 ... L L M L L L M L MOMM L L L LL M L L ++++ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎣ ⎡ = ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ ++ ++ ++ ++ + ⎥ ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ = ⎥ ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢...
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Frontiers in Adaptive Control Part 14 pot
... wave-pipelining scheme works properly while minimizing the response time in the adaptive control loop. Figure 7. Wave-pipelining scheme for the control signal 3.3 Adaptive Fetching Point Control ... 422 -433, Sep-Oct 20 05. [14] G. De Micheli, Designing Robust Systems with Uncertain Information, Invited talk, Asia- Pacific Design Automation Conference, 20 03. [15] Fro...
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