{"id":20,"date":"2018-08-02T16:12:55","date_gmt":"2018-08-02T23:12:55","guid":{"rendered":"https:\/\/labs.engineering.asu.edu\/csel\/?page_id=20"},"modified":"2023-08-07T10:12:28","modified_gmt":"2023-08-07T17:12:28","slug":"model-on-demand","status":"publish","type":"page","link":"https:\/\/labs.engineering.asu.edu\/csel\/model-on-demand\/","title":{"rendered":"Model-On-Demand"},"content":{"rendered":"\n
7.<\/td>Rivera, D.E., H. Lee, H.D. Mittelmann, and M.W. Braun, “High purity distillation: using plant-friendly multisine signals to identify a strongly interactive process,” Special Section on Applications of System Identification,\u00a0IEEE Control Systems Magazine<\/em>, Vol. 28, No. 5, pgs. 72-89, October 2007.<\/td>IEEE Xplore<\/a><\/td><\/tr>
6.<\/td>Rivera, D.E., H. Lee, H.D. Mittelmann, G. Pendse, “Optimization-based design of plant-friendly input signals for data-centric estimation and control,” Annual AIChE Meeting, paper 242k, Cincinnati, OH, October 31-November 4, 2005.<\/td>Preprint<\/a><\/td><\/tr>
5.<\/td>Braun, M.W., R. Ortiz-Mojica, and D.E. Rivera, “Design of Minimum Crest Factor Multisinusoidal Signals for Plant-Friendly Identification of Nonlinear Process Systems,” Control Engineering Practice<\/em>, Vol. 3, No. 3, pp. 301-313, March 2002.<\/td>ScienceDirect<\/a><\/td><\/tr>
4.<\/td>Braun, M.W., D.E. Rivera, and A. Stenman. “A Model-on-Demand Identification Methodology for Nonlinear Process Systems,” International Journal of Control<\/em>, Vol.74, Issue.18, pp.1708-1717, December 2001.<\/td>Taylor & Francis Online<\/a><\/td><\/tr>
3.<\/td>Braun, M.W., Model-On-Demand Nonlinear Estimation And Model Predictive Control: Novel Methodologies For Process Control And Supply Chain Management, PhD Thesis, Control Systems Engineering Laboratory, Arizona State University, Dec. 2001.<\/td>ASU Library<\/a><\/td><\/tr>
2. <\/td>Braun, M.W., D.E. Rivera, and A. Stenman, “Model-on-Demand Model Predictive Control for Nonlinear Process Systems,” AIChE 2000 Annual Meeting, Los Angeles, CA, November 12-17, 2000, paper 256h.<\/td>Presentation Record<\/a><\/td><\/tr>
1.<\/td>Braun, M.W., B. McNamara, D.E. Rivera, and A. Stenman, “Model-on-Demand Identification for Control: An Experimental Study and Feasibility Analysis for MoD-based Predictive Control”, SYSID 2000, Santa Barbara, CA, June 21-23, 2000.<\/td>Preprint<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

7. Rivera, D.E., H. Lee, H.D. Mittelmann, and M.W. Braun, “High purity distillation: using plant-friendly multisine signals to identify a strongly interactive process,” Special Section on Applications of System Identification,\u00a0IEEE Control Systems Magazine, Vol. 28, No. 5, pgs. 72-89, October 2007. IEEE Xplore 6. Rivera, D.E., H. Lee, H.D. Mittelmann, G. Pendse, “Optimization-based design of…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-20","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/labs.engineering.asu.edu\/csel\/wp-json\/wp\/v2\/pages\/20","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.engineering.asu.edu\/csel\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.engineering.asu.edu\/csel\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.engineering.asu.edu\/csel\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.engineering.asu.edu\/csel\/wp-json\/wp\/v2\/comments?post=20"}],"version-history":[{"count":0,"href":"https:\/\/labs.engineering.asu.edu\/csel\/wp-json\/wp\/v2\/pages\/20\/revisions"}],"wp:attachment":[{"href":"https:\/\/labs.engineering.asu.edu\/csel\/wp-json\/wp\/v2\/media?parent=20"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}