6 discrete state space

... situations of interests including linear state- space models with non-Gaussian state noise or observation noise (heavy-tail noise), jump linear systems, linear state space with missing observations; of ... 61 3 62 4, 2001 [ 16] R Chen, X Wang, and J Liu, “Adaptive joint detection and decoding in flat-fading channels via mixture kalman filtering,” IEEE Transactions on Information Theory, vol 46, no 6, ... and R Kohn, “Markov chain Monte Carlo in conditionally Gaussian state space models,” Biometrika, vol 83, no 3, pp 589 60 1, 19 96 [5] A Doucet, S Godsill, and C Andrieu, “On sequential Monte Carlo...

Ngày tải lên: 23/06/2014, 01:20

... equations with state- dependent delay, J Differ Equ 195 (1) (2003) 46 65 [11] H.-O Walther, On a model for soft landing with state- dependent delay, J Dyn Differ Equ 19 (3) (2007) 593 62 2 [12] T Krisztin, ... multiple state- dependent time lags, Topol Methods Nonlinear Anal (1) (1994) 101– 162 [ 16] O Arino, E Sanchez, A saddle point theorem for functional state- dependent delay differential equations, Discrete ... in the space of continuous functions, Nonlinear Anal Ser A: Theory, Methods Appl 70 (11) (2009) 3978–39 86 [ 26] A.V Rezounenko, Non-linear partial differential equations with discrete state- dependent...

Ngày tải lên: 29/10/2015, 14:19

... 70.54 68 .12 68 .09 59.49 60 .01 57 .63 47. 76 46. 86 41. 56 76. 38 73.11 70.89 58.91 60 .70 58. 96 49. 76 47.54 43.34 77. 56 72.45 70.91 57.52 58.34 57. 46 51.87 53. 76 49.98 75 .64 71.44 69 .83 60 .41 61 .63 58.99 ... 72.23 60 .59 60 . 06 53.24 49 .65 48.34 45.14 78.41 68 .54 69 .32 61 .45 59.78 51.15 53.54 50.43 49.32 72.45 69 .54 65 .98 60 .82 58. 96 51 .65 51 .65 52.45 48. 76 73.21 71.91 67 .65 60 .93 59.25 54.34 48 .67 48.55 ... 51.34 44. 76 45.87 4 .65 76. 76 76. 11 72.21 56. 13 55.84 58. 56 49. 76 48.42 44. 76 78.23 74.59 70.21 58.27 56. 42 53.87 51.98 51.01 48.98 72.19 69 . 76 69.12 59.02 60 . 76 56. 13 53. 76 51.98 43 .65 74.87 71.19...

Ngày tải lên: 28/04/2014, 10:02

... it1 it2 it3 it4 it5 it6 it7 it8 it9 Strong f= 0. 567 3434 f= 0.579 966 5 f= 0 .64 04443 f= 0 .64 24 964 f= 0 .64 29 869 f= 0 .64 49777 f= 0 .64 5 163 2 f= 0 .64 51949 f= 0 .64 51 960 f= 0 .64 51 960 convergence df= 0.08018 ... 0.5 260 923 f= 0 .62 15185 f= 0 .62 365 05 f= 0 .62 47839 f= 0 .62 47935 convergence df= 0.047 16 df= 0.0 761 6 df= 0.01589 df= 0.00 767 9 df= 0.002 160 df=2.575e-0 06 e1= 0.1279 e1= 0.2 568 e1= 0.0 364 0 e1= 0.0 262 4 ... it4 it5 it6 it7 it8 it9 Strong 26 f= 0.5432387 f= 0.5 569 7 36 f= 0 .62 10248 f= 0 .62 15 160 f= 0 .62 24598 f= 0 .62 41177 f= 0 .62 467 45 f= 0 .62 47859 f= 0 .62 47932 f= 0 .62 47935 convergence df= 0.08 367 df= 0.1072...

Ngày tải lên: 10/06/2014, 21:34

... 71.941152 69 .61 8154 71.553277 71.095 56 62. 060 827 64 .177229 61 .24 967 4 60 .9 967 93 67 .7448 46 64.483538 73.178501 60 .400341 71. 960 519 65 .499 866 72.445931 65 .957132 68 .538231 60 .28 965 1 64 .9 062 09 65 .22902 ... 79.773793 61 .81 468 9 70.84 462 6 71.974595 76. 75773 75.445502 74.935231 74.8 163 72 61 .69 2141 69 .823501 60 .65 268 9 74.51 760 9 72 .64 509 69 .148994 74.392399 75.908715 78. 764 701 71.297 965 74.1 063 34 69 . 865 951 ... 64 .9 062 09 65 .22902 73.243 562 75.55 768 2 68 .4844 76 77.002957 70.893228 63 .223 062 61 . 366 645 61 .383819 62 .457434 AIC −2.510095 −3.0 162 92 −2 .67 7518 −2 .61 7587 −2.48 566 4 −1.539307 −2 .60 461 3 −0.918211 −2.303097...

Ngày tải lên: 21/06/2014, 20:20

... 0.705 0.538 0 .60 6 0.883 0.543 0 .67 3 0.521 0.523 0 .64 3 0 .63 3 0.888 0.712 0.7 36 0 .69 5 0 .62 0 t =6 0.558 0.352 0.447 0.491 0.548 0.754 0.722 0.555 0 .60 7 0.884 0.545 0 .67 3 0.524 0.531 0 .66 7 0.743 0.912 ... 0.484 0 .61 1 0.3 86 0. 461 0.312 0.404 t=3 0.549 0.305 0.398 0.381 0.378 0 .63 3 0.548 0.3 86 0.547 0.782 0.497 0 .65 7 0.455 0. 464 0.4 96 0.5 76 0.752 0.537 0 .60 2 0.444 0.519 t=4 0.5 56 0.332 0.432 0.4 46 0.485 ... 0 .60 9 0.884 0. 562 0 .69 3 0.5 56 0.701 0.823 0.893 0. 967 0.888 0.887 0.888 0 .69 0 t=9 0.559 0.355 0.457 0.4 96 0.554 0.758 0.7 26 0.5 56 0 .61 3 0.884 0 .64 1 0.810 0.730 0. 760 0.895 0.893 0. 968 0.888 0.890...

Ngày tải lên: 22/06/2014, 19:20

... in Signal Processing 160 140 140 120 120 100 100 Y (m) 180 160 Y (m) 180 80 60 80 60 40 40 OS 20 OS 20 20 40 60 80 X (m) 100 120 140 160 20 40 60 80 X (m) 100 120 140 160 Figure 12: Case 1: Initialization ... distribution 180 180 160 160 140 140 120 120 MS Y (m) Y (m) MS 100 80 100 80 60 60 40 40 OS OS 20 20 MS 20 40 60 80 X (m) 100 120 140 160 0 20 40 60 80 X (m) 100 120 140 160 Figure 11: Case 1: ... paths Vadim Algeier et al 180 180 160 160 140 140 B 120 A 100 C Y (m) Y (m) 120 MS 80 60 MS 80 60 40 40 OS 20 D 100 OS 20 20 40 60 80 X (m) 100 120 140 160 Figure 4: Region A corresponds to...

Ngày tải lên: 22/06/2014, 19:20

... –0.514 0.799 1.054 –1.397 1.740 2. 466 0.141 0 .63 1 0.850 0.404 1.307 1.805 0.091 0.5 56 0. 768 0. 267 0.9 06 1.2 76 0.111 0. 568 0.780 0.324 0.812 1.118 0.104 0.5 76 0.781 0.295 0.783 1.050 Height and ... 0.2357 11. 164 4 0.0744 0.0033 0.0071 0.1089 0.0178 0.0001 – 0.00 16 R2 0.9909 0.9904 0.9883 Estimate – 1.842 × 10−3 1.8290 –0.1791 0.0145 0.0143 0.04 06 0.57 36 –0.0151 –0.07 56 0.9 466 0.7299 6. 93 × 10−4 ... –0.0151 –0.07 56 0.9 466 0.7299 6. 93 × 10−4 0.0349 Site index Std err – 6. 06 × 10−4 0.1844 0.0113 2.18 × 10−3 0.23 86 5 .66 × 10−3 0. 069 0 3.18 × 10−3 0.0240 0.0797 0.0177 1.30 × 10−4 – 0.0177 R2 0.9909...

Ngày tải lên: 07/08/2014, 16:21

... A.0.1Algorithm for calculating cartesian vectors on Lim 40 57 58 61 62 63 66 76 77 81 84 118 120 1 26 172 i Chapter Introduction and Overview 1.1 1.1.1 Motivation & Goals The Need ... Approach 125 6. 3.1 6. 3.2 Step 2: Symmetry Detection 130 6. 3.3 6. 4 Step 1: Conversion 1 26 Step 3: Optimization ... 113 6. 1 Motivating Examples 1 16 6.2 Preliminaries 120 6. 2.1 6. 2.2 6. 3 Intermediate Language – Linear Process Specification ...

Ngày tải lên: 08/09/2015, 18:10

... 57 3.3.3 Discrete Particle Filter 60 Simulation Results: Likelihood Estimation 63 3.4.1 IS 64 3.4.2 SMC ... 76 Simulation Results: Parameter Estimation 78 3 .6. 1 Process of drawing samples 79 3 .6. 2 Analysis of samples 81 3.4 3.5 3 .6 ii ... Importance Sampling 16 2.1.5 Resampling Techniques 19 2.1 .6 Sequential Monte Carlo 22 2.1.7 Discrete Particle Filter ...

Ngày tải lên: 22/09/2015, 15:18

... 57 3.3.3 Discrete Particle Filter 60 Simulation Results: Likelihood Estimation 63 3.4.1 IS 64 3.4.2 SMC ... 76 Simulation Results: Parameter Estimation 78 3 .6. 1 Process of drawing samples 79 3 .6. 2 Analysis of samples 81 3.4 3.5 3 .6 ii ... Importance Sampling 16 2.1.5 Resampling Techniques 19 2.1 .6 Sequential Monte Carlo 22 2.1.7 Discrete Particle Filter ...

Ngày tải lên: 30/10/2015, 17:03

... The JSP Files (part 6) : State Of Grace Table of Contents A Perfect State Wasted, Dude! A Few Ground Rules ... getValue() − in the example above, we've specifically stated the type of the variable in parentheses before Session Dissection 14 The JSP Files (part 6) : State Of Grace assigning it to a regular JSP variable ... Once the form is submitted, "login.jsp" takes over Access Denied 16 The JSP Files (part 6) : State Of Grace

Ngày tải lên: 27/10/2013, 07:15

... the needs of other instructors who rely on these materials Printed in the United States of America 10 ISBN 0-13-11 768 7-0 Pearson Education Ltd., London Pearson Education Australia Pty Ltd., Sydney ... out of, the furnishing, performance, or use of these programs This work is protected by United States copyright laws and is provided solely for the use of instructors in teaching their courses...

Ngày tải lên: 12/05/2014, 07:28

... Monte-Carlo Simulation units EKF UKF % error % % error % b2 (1σ) 166 .1 (47 .6) 11 .6 ( 16. 0) b1 (1σ) 267 .1 (29 .6) 2. 46 (9 .63 ) b3 (1σ) 37.7 (67 .9) 1.93 (23.8) Table Rate sensor bias estimation results ... 91.2 121.9 72.0 103.8 59 .6 14.0 % (87.1) (47 .6) (75.0) (72.9) (85.0) (64 .1) % error 28.3 6. 81 13.5 7.74 6. 51 10.9 % UKF δ13 (1σ) EKF δ12 (49.3) (18.3) (32.9) (34.3) ( 46. 2) ( 26. 9) Table Rate sensor ... ⎣ ⎦ T δ = 64 8, 12 96, 972, 64 8, -64 8, 12 96 ⎤ arcs ⎣ ⎦ T b = ⎡5, 3, ⎤ × 10 -4 rad / s ⎣ ⎦ 204 Advances in Spacecraft Technologies Quaternion reference trajectory q1 q2 0.8 q3 q4 0 .6 0.4 Quaternion...

Ngày tải lên: 20/06/2014, 00:20

... 0. 865 6 ⎢ Ao = ⎢ 0.5038 ⎢ ⎣ 0.13009 0.34529 0.12048 0.288 16 0. 463 71 0. 764 43 0 .61 187 0.14297 0 .67 152 0.9712 0.4 765 7 0.15809 0.19192 0.011 36 0.93839 0.54837 0. 466 39 ⎤ 0.019139 0.3 865 1 ⎥ ⎥ 0.422 46 ... 0. 265 9 ⎢ ⎣ 0. 061 1 0.3328 Co = 0.8927 0.09 26 0.2925 0.8219 0.994 ⎤ 0. 067 8 0.9731 ⎥ ⎥ 0.9228 ⎥ ⎥ 0.9587 ⎦ 0. 563 2 ⎤ 0.2924 0.4025 ⎥ ⎥ 0.0341 ⎥ ⎥ 0.2875 ⎦ 0.21 96 0. 565 9 0.255 0.5227 0.0038 0. 360 8 ... solvers 154 Discrete Time Systems Example Consider the unstable system as follows ⎡ 0.82 0.05 76 0.2212 ⎢ 0.0574 0. 063 4 0 .62 54 ⎢ Ao = ⎢ 0.0901 0.7228 0.5133 ⎢ ⎣ 0 .69 67 0.0337 0.5757 0.1471 0 .69 57 0.2872...

Ngày tải lên: 20/06/2014, 01:20

... Opt Lett., vol.28 pp.325-327 Szabo, A & Stein, R A (1 965 ) Theory of laser giant pulsing by a saturable absorber, J Appl Phys vol. 36, 1 562 -1 566 Degnan, J.J (1995) Optimization of passively Q-switched ... distances to 25 m by multiwavelength CO2 laser interferometry, Applied Optics, Vol 26, No 9, pp 168 0- 168 7, ISSN 0003 -69 35 Bien, F.; Camac, M,; Caulfield, H J & Ezekiel, S (1981) Absolute distance ... Femtosecond laser pulses; Principles and experiments, Springer, ISBN 3-54 063 663 -3, Berlin Heidelberg 10 Micro-Solid -State Laser for Ignition of Automobile Engines Masaki Tsunekane, Takayuki Inohara,...

Ngày tải lên: 21/06/2014, 10:20

... 10 E K Boukas, State feedback stabilization of nonlinear discrete- time systems with time-varying time delay,” Nonlinear Analysis: Theory, Methods & Applications, vol 66 , no 6, pp 1341–1350, ... 155– 166 , 2002 Advances in Difference Equations 13 B Recht and R D’Andrea, “Distributed control of systems over discrete groups,” IEEE Transactions on Automatic Control, vol 49, no 9, pp 14 46 1452, ... “Controllability and stabilizability of discrete systems in a function space on a ı commutative semigroup,” Difference Equations, vol 40, no 6, pp 873–882, 2004 16 M Megan, A L Sasu, and B Sasu, “Stabilizability...

Ngày tải lên: 21/06/2014, 20:20

... Equations of Mathematical Physics, 3rd ed., Nauka, Moscow, 1 966 , English translation of 2nd ed., vols, 1, 2, Holden-Day, California, 1 964 , 1 967 Elimhan N Mahmudov: Department of Industrial Engineering, ... the discrete approximation problem (4.2), (4.3) with state constraints it is necessary that there exist a number λ = λδh = or and vectors {x∗ (t,τ)}, not all zero, satisfying (4.25), (4. 26) And ... Information Sciences, vol 68 , Springer, Berlin, 1985 [10] H.-W Kuang, Minimum time function for differential inclusion with state constraints, Mathematica Applicata 13 (2000), no 2, 31– 36 [11] J.-L Lions,...

Ngày tải lên: 22/06/2014, 22:20

... m-dimensional space This space is usually referred to as the state space, because each point of this space corresponds to a given state of the system Remark A.3 The configuration space is a subspace of ... and not 6, and the state space model is made by four first-order differential equations The state space open loop model is the usual one ˙ z = Az + Bc uc + Be ue , where v z= r p vδ T (B .63 ) , r ... importance, may be written as F= 1 T x Cx + xT (C1 x + f ) ˙ ˙ ˙ 2 (A .66 ) A.5 Lagrange equations in the configuration and state space 68 3 • Qi are generalized forces that cannot be expressed using the...

Ngày tải lên: 03/07/2014, 19:20