4.6 Geometric Properties of the Proposed Algorithm ν 4.7 Self-tuning of the Control Law 4.8 Simulations 5 Main Results and Further Research 109 5.1 Main Results 5.2 Further Research A The TOGA/COARE Data 112 Bibliography 113 vi 4.1 (a) Norm of the estimators (b) Controlled probabilities around 1/2 (c) Norm of the difference ß t -kß for the model λ ί+ ι = -1.5Î/Î + 2u t -Ut-i with u t = s'm(t) + cos(i) 97 4.2 (a) Iterations for ß\ (b) Iterations for ß 2 (c) Iterations for /5 3 for the model X t+i = -l.5y t + 2u t -u t -i with u t = sin(i) + cos(t). . . 98 4.3 (a) Norm of the estimators (b) Controlled probabilities around 1/2. (c) Norm of the difference ß t -kß for the model \ t+ i --1.5J/Ì + 2u t -«i_i with u t = .3u t + e t 99 4.4 (a) Iterations for ß\ (b) Iterations for ß 2 (c) Iterations for β Ά for the model A i+i = -1.5y< + 2u t -u<_i with u t = .3u t + e t 100 4.5 (a) Norm of the estimators (b) Controlled probabilities around 1/2 (c) Norm of the difference ß t -kß for the model \ t +i = -1.5y< + 2u t -u t -\ with starting values (-2,3.1,2) 101 4.6 (a) Iterations for βι (b) Iterations for ß 2 (c) Iterations for ß 3 for the model X t +i = -1.5?/* + 2u t -u t -\ with starting values (-2,3.1,2).102 4.7 (a) Norm of the estimators (b) Controlled probabilities around 1/2 (c) Norm of the difference ß t -kß for the model A t+ i = yt -.5y t _i -2tt t •+ u t -i 103 4.8 (a) Iterations for βχ (b) Iterations for ß 2 (c) Iterations for ß 3 (d) Iterations for β± for the model A i+i = y t -.5y<_i -2u t + u t -i. . . 104 4.9 (a) Norm of the estimators (b) Controlled probabilities aroun 1/2 (c) Norm of the difference ß t -kß for the model A i+J = -1.2y< -1.32u t + .lut-i + u t -2 105 χ 4.10 (a) Iterations for βχ (b) Iterations for ß (c) Iterations for ß 3 (d) Iterations for β 4 for the model λ ί+ ι = -1.2y t -1.32u t + Au t -i + u t -2 106 4.11 (a) Norm of the estimators (b) Controlled probabilities around .2 (c) Norm of the difference ß t -kß 107 4.12 (a) Iterations for βχ (b) Iterations for β 2 (c) Iterations for βζ for the control of probabilities around .2 108 xi
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.