1. Jagannathan Sarangapani, A. Ramachandran, C. Saygin, and K. Cha, "Adaptive Inventory Management System", US Patent No. 7752089B2, July 2010.
  2. S. Jagannathan and S.K. Rangarajan, "A Method to Predict Severity of a Trend toward an Impending machine Failure and Responding to the Same", US Patent No. 6,442,511, August 2002.
  3. S.R. Rangarajan, and S. Jagannathan, "Method and Apparatus for Predicting a Fault Condition using Nonlinear Curve Fitting Techniques", US Patent No. 6,363,332, March 26, 2002.
  4. S. Jagannathan, "Apparatus and Method for Diagnosing an Engine Using Computer-Based Models in Combination with a Neural Network", US Patent No. 6,240,343, May 29, 2001.
  5. S. Jagannathan, "A Method for Determining a Desired Response to Detection of an Obstacle", US Patent No 6,173,215, January 2001.
  6. S. Jagannathan, "Energy-Based Approach for Obstacle Avoidance", US Patent No. 6,134,502, Oct. 17, 2000.
  7. S. Jagannathan, "Method and Apparatus of Predicting a Fault Condition", US Patent No. 6,119,074, Sep. 12, 2000.
  8. S. Jagannathan and D.R. Schricker, "Apparatus and Method for Diagnosing an Engine Using an Exhaust Temperature Model", US Patent No. 6,092,016, July 18, 2000.
  9. S. Jagannathan and C. A. Kemner, "Method and Apparatus for Determining an Alternate path in Response to Detection of An Obstacle", US Patent No. 60,64,926, May 16, 2000.
  10. S. Jagannathan and F.L.Lewis, \"Discrete-Time Neural Network Tuning of a Class of Nonlinear Dynamical Systems\", The Univ. of Texas, US Patent No. 6,064,997, May 16, 2000.
  11. S. Jagannathan, "Method and Apparatus for Detecting Obstacles Using Multiple Sensors for Range Selective Detection", US Patent No. 6,055,042, April 25, 2000.
  12. S. Jagannathan, "Method for Determining the Condition of Engine Oil based on TBN Modeling", US Patent 5,987,976, November 23, 1999.
  13. S. Jagannathan and D. R. Schricker, \"Method and Apparatus for Predicting a Fault Condition\", Caterpillar Inc., US Patent No. 5,950,147, September 7, 99.
  14. C. Kemner, C. Khoerson, and S.Jagannathan, "System and Method for Managing a Fleet of Mobile Machines for Dumping at a Plurality of Dump Points", US Patent No. 5,931,875, August 3, 99.
  15. S. Jagannathan et al., "Automated Systems-Automated Loader System", Defensive Publication, Research Disclosure Technology Journal, Pub. No. 42368, July 99.
  16. S. Jagannathan, D. R. Schricker, and Trent Simpson, "Method for Determining the Condition of Engine Oil based on Soot Modeling", US Patent No. 5,914,890, June 22, 1999.
  17. S. Jagannathan, "Method and Apparatus for Determining a Path for a Machine between a Predetermined Route and a Final Position", US Patent No. 5,752,207, May 12, 98.
  18. D.R. Schricker, S. Jagannathan, D. G. Young, Satish M. Shetty, "Method and Apparatus for Comparing Machines in Fleet", US Patent No. 5,737,215, April 7, 98.

Summary: 1.1 patents/year for the past 14 years

Patents Pending

1. S. Jagannathan, K. Cha, A. Ramachandran, and C. Saygin, "Read Rate and Coverage Improvement Through Reader Power Control", Invention Disclosure, January 2006. (patent being filed)

2. S. Jagannathan, S. Ratnaraj, J. Fonda and M. Zawodniok, "Optimal Energy Delay Routing Protocol for Wireless Sensor Networks", Invention Disclosure, May 2006.

3. S. Jagannathan, N. Regatte, and M. Zawodniok, "Adaptive and Distributed Fair Scheduling Schemes for Wireless Sensor Networks", Invention Disclosure, May 2006.

4. S. Jagannathan and J. Drallmeier, "Neural Network Control of Spark Ignition Engines Operating Lean", Invention Disclosure, May 2006.

5. S. Jagannathan and J. Drallmeier, "Neural Network Control of Spark Ignition Engines with High EGR Levels", Invention Disclosure, May 2006.

6. S. Jagannathan, "Adaptive HE Implement Control", Invention Disclosure, November 1998.

7. S. Jagannathan, "On-line HE Learning Control", Invention Disclosure, November 1998.

8. S. Jagannathan, "A Method to Predict Confidence", Invention Disclosure, December 1998.

9. S. Jagannathan, F. Lombardi, and C. Ramamoorthy, "A System and Method to Control ON/OFF Valves and Associated Implement Circuits", Invention Disclosure, January 1999.

  1. Gary Halligan and S. Jagannathan, "PCA-based fault isolation and prognostics with application to pump", International Journal of Advanced Manufacturing Technology, Accepted for publication, Dec 2010.
  2. T. Dierks, B. Thumati, and S. Jagannathan, "An online model-based fault accommodation scheme for nonholonomic mobile robots in formation", Journal of Defense Modeling and Simulation, Accepted for publication in August 2010, to appear in July 2011 or Oct 2011.
  3. A. Soylemezoglu, S. Jagannathan, and C. Saygin, "Mahalanobis-Taguchi-System as a prognostics tool for rolling element bearing failures", ASME Journal of Manufacturing Science and Engineering, vol. 132, no. 5, Oct 2010.
  4. B. Thumati and S. Jagannathan, "A model based fault detection and prediction scheme for nonlinear multivariable discrete-time systems with asymptotic stability guarantees", IEEE Transactions on Neural Networks, vol. 21, no.3, pp. 404-423, March 2010.
  5. C. Saygin, Deepak Mohan, and S. Jagannathan, "Real-time detection of grip length deviation during fastening of bolted joints: A Mahalanobis-Taguchi System (MTS) based approach", Journal of Intelligent Manufacturing, vol. 21, no. 4, pp. 377-392, 2010.
  6. B. Thumati and S. Jagannathan, "A robust fault detection and prognostics scheme for nonlinear discrete time input-output systems", International Journal of Computational Intelligence in Control, vol. 2, no. 1, pp.71-83, December 2009.
  7. Deepak Mohan, C. Saygin, and S. Jagannathan, "Real-time detection of grip length deviation during pull-type fastening: A Mahalanobis-Taguchi System (MTS) based approach", International Journal of Manufacturing Technology, vol.39, No.9-10, pp. 995-1008, November 2008.
  8. Reghu Anguswamy, C. Saygin, and S. Jagannathan, "In-process detection of fastener grip length using embedded mobile wireless sensor network-based pull type tools", International Journal of Manufacturing Technologies and Special Issue on Advanced Manufacturing Technologies, vol. 4, no.2, pp. 154-170, 2009.
  9. Deepak Mohan, C. Saygin, and S. Jagannathan, "Real-time detection of grip length deviation during pull-type fastening: A Mahalanobis-Taguchi System (MTS) based approach", International Journal of Manufacturing Technology, vol.39, No.9-10, pp. 995-1008, November 2008.

Click Here for More Info.

  1. James Fonda, S. Jagannathan and Steve Watkins, “Robust neural network RISE observer based fault diagnostics and prediction”, Proc. of the IEEE International Conference on Neural Networks, July 2010.
  2. B. Thumati, T. Dierks, and S. Jagannathan, “Fault tolerant formation control of nonholonomic mobile robots using online approximators." Proc. of the SPIE symposium on Defense, Security, and Sensing, April 2010.
  3. B. Thumati and S. Jagannathan, “A multilayer neural network based identification and control scheme for a class of nonlinear discrete-time systems with asymptotic stability guarantee”, Proc. of the IEEE Mediterranean Conference on Control and Automation, pp. 540-545, June 2009.
  4. B. Thumati and S. Jagannathan, “A model-based fault detection and accommodation scheme for nonlinear discrete-time systems with asymptotic stability guarantees”, Proc. of the American Controls Conference, pp. 4988-4993, June 2009.
  5. B. Thumati and S. Jagannathan, “Neural network control of a class of nonlinear discrete-time systems with asymptotic stability guarantees”, Proc. of the American Controls Conference, pp. 2934-2939, June 2009.
  6. B. Thumati and S. Jagannathan, “A model based fault detection and prognostics scheme for uncertain nonlinear discrete-time systems”, Proc. of the IEEE Conference on Decision and Control, pp. 392-397, Dec 2008.
  7. B. Thumati and S. Jagannathan, “A model based fault detection scheme for nonlinear multivariable systems”, Proc. of the IEEE Conf. on Systems, Man and Cybernetics, pp. 1978-1983, Oct 2008.
  8. S. Mehraeen, S. Jagannathan, K. Corzine and J. Huang, “Energy harvesting using piezoelectric materials and high voltage scavenging circuitry”, Proc. of the IEEE ICIT, pp. 1-8, March 2008.
  9. J. Fonda, S. Watkins, M. Zawodniok, and S. Jagannathan, “Embedded sensor mote for structural health monitoring”, Proc. of the SPIE, March 2008.
  10. J. Fonda, M. Zawodniok, S. Jagannathan, Al Salour, and D. Miller, “Missouri S&T mote-based demonstration of energy monitoring solution for network enabled manufacturing using wireless sensor networks (WSN)”, Proc. of the Information Processing in Sensor Networks, pp. 559-560, April 2008.
  11. B. Thumati and S. Jagannathan, “An online approximation-based fault detection framework for nonlinear discrete-time systems”, Proc. of the IEEE Conference on Decision and Control, pp. 2608-2613, Dec 2007.
  12. Mohan, D., Birt, J., Saygin, C., Jagannathan Sarangapani, “Real-Time Process Quality Monitoring using Wireless Sensor Embedded Rotary Tools for Fastening Operations,” ASME International Mechanical Engineering Congress and Exposition, Seattle, Washington, November 10-16, IMECE2007-41647, 2007.
  13. Anguswamy, R., Saygin, C., Jagannathan Sarangapani, “In-Process Detection of Fastener Grip Length using Embedded Mobile Wireless Sensor Networks,” ASME International Mechanical Engineering Congress and Exposition, Seattle, Washington, November 10-16, IMECE2007-41648, 2007.
  14. Balaje Thumati, Jeffery Birt, Neha Bassi, and Jag Sarangapani, “A neural network model based approach to predict seal and impeller failures in centrifugal pumps”, ASME International Mechanical Engineering Congress and Exposition (IMECE), Seattle, Washington, November 10-16, IMECE2007-41941, 2007.

Click Here for More Info.