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, IEEE 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 plant-friendly input signals for data-centric estimation and control," Annual AIChE Meeting, paper 242k, Cincinnati, OH, October 31-November 4, 2005. Preprint
5. 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, Vol. 3, No. 3, pp. 301-313, March 2002.


4. Braun, M.W., D.E. Rivera, and A. Stenman. "A Model-on-Demand Identification Methodology for Nonlinear Process Systems," International Journal of Control, Vol.74, Issue.18, pp.1708-1717, December 2001. Taylor & Francis Online
3. 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. ASU Library
2.  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. Presentation Record
1. 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. Preprint