… and other ponderings in 11th-dimensional space

Publications

[1] T.-C. Lu, N. Srinivasa, and L. G. Barajas, “A Survey on Prognostic Metrics,” presented at the Machinery Failure Prevention Technology (MFPT) Conference, Huntsville, AL, 2010

[2] L. G. Barajas, S. R. Biller, F. Gu, and C. Yuan, “Virtual Launch & Validation of Manufacturing Automation Controls,” to be presented at the 6th IEEE Conference on Automation Science and Engineering (CASE). Toronto, Canada, 2010

[3] L. G. Barajas, A. L. Thomaz, and H. I. Christensen, “Whitepaper: Ushering in the Next Generation of Factory Robotics & Automation,” presented at the National Workshop on Challenges to Innovation in Advanced Manufacturing: Industry Drivers and R&D Needs, National Institute of Standards and Technology, Gaithersburg, MD, 2009

[4] S. T. S. Bukkapatnam, C. Cheng, H. Yang, L. G. Barajas, and R. Komanduri, “Recurrence Based Local Gaussian Process Regression Model for Nonlinear and Nonstationary System Performance Prediction,” submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009.

[5] S. T. S. Bukkapatnam, H. Yang, U. Mittal, and L. G. Barajas, “Dynamics and Performance Modeling of Multi-Stage Manufacturing Systems using Nonlinear Stochastic Differential Equations,” submitted to IEEE Transactions on Automation Science and Engineering (TASE), 2009.

[6] H. Yang, S. T. S. Bukkapatnam, L. G. Barajas, and R. Komanduri, “Local Recurrence Prediction in Nonstationary Chaotic Systems,” submitted to Physical Review E, 2009.

[7] Y. Lei, D. Djurdjanovic, L. G. Barajas, G. Workman, S. R. Biller, and J. Ni, “Network Health Monitoring for DeviceNet Using Physical Layer Parameters,” Journal of Intelligent Manufacturing, pp. 8, 2009

[8] L. G. Barajas and N. Srinivasa, “Real-Time Diagnostics, Prognostics & Health Management for Large Scale Manufacturing Systems,” ASME International Conference on Manufacturing Science & Engineering (MSEC). Evanston, IL, USA, 2008.

[9] U. Mittak, H. Yang, S. T. S. Bukkapatnam, and L. G. Barajas, “Dynamics and Performance Modeling of Multi-Stage Manufacturing Systems using Nonlinear Stochastic Differential Equations,” IEEE Conference on Automation Science and Engineering (CASE). Washington DC, USA, 2008.

[10] N. Srinivasa, Q. Jiang, and L. G. Barajas, “High-Impact Event Prediction by Temporal Data Mining Through Genetic Algorithms,” IEEE 4thInternational Conference on Natural Computation (ICNC’08), 2008

[11] L. G. Barajas, M. B. Egerstedt, E. W. Kamen, and A. Goldstein, “Stencil printing process modeling and control using statistical neural networks,” on IEEE Trans. on Electronics Packaging Manufacturing, 2008

[12] S. Kadambe, Y. Cho, and L. G. Barajas, “Finite State Markov Model Based Knowledge Discovery,” in ASME Press series on Intelligent Engineering Systems through Artificial Neural Networks vol. 15, in proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2005): November 7-9, 2005, in St. Louis, Missouri, U.S.A., ASME Press, pp. 437-445, 2005

[13] L. G. Barajas, A. Kansal, A. Saxena, M. B. Egerstedt, A. Goldstein, and E. W. Kamen, “Modeling and control of SMT manufacturing lines using hybrid dynamic systems,” in Hybrid Systems: Computation and Control. Prague, The Czech Republic: Springer-Verlag, 2003

[14] L. G. Barajas, M. B. Egerstedt, E. W. Kamen, and A. Goldstein, “Process control in a high-noise environment using a limited number of measurements,” presented at American Control Conference, Denver, CO, 2003

[15] L. G. Barajas, “Process control in high-noise environments using a limited number of measurements,” Ph.D. dissertation, E. W. Kamen and M. B. Egerstedt (Advisors), in School of Electrical and Computer Engineering, Georgia Institute of Technology, pp. xxii+152, Atlanta, GA, USA, 2003

[16] L. G. Barajas, E. W. Kamen, A. Goldstein, M. B. Egerstedt, and B. Small, “A closed-loop hybrid control algorithm for stencil printing,” presented at Surface Mount Technology Association International Conference (SMTA02), Boston, MA, 2002

[17] L. G. Barajas, E. W. Kamen, and A. Goldstein, “On-Line Enhancement of the Stencil Printing Process,” Circuits Assembly, vol. 12, No. 3, pp. 32-36, 2001

[18] L. G. Barajas, “Real Time Kernel Controller for Oil Fields with Heterogeneous Variable Frequency Drives,” Occidental Petroleum Corp., Oil & Gas Division, Telecommunications & SCADA Department, Engineering Report, Bogotá, Colombia, Versions 1-3, 1997, 1998, and 1999

[19] L. G. Barajas, “Neuro-fuzzy embedded control system,” B.S. Honored Thesis, Joaquin Luna Torres (Advisor), in Department of Electrical Engineering, College of Engineering, Universidad Distrital Francisco José de Caldas, pp. 134, Bogotá, Colombia, 1998