JAGANNATHAN SARANGAPANI

William A. Rutledge - Emerson Electric Co. Distinguished Professor in Electrical Engineering
222 Emerson Electric Co. Hall
Rolla, MO 65409-0040
Phone: 573-341-6775
Fax: 573-341-6671
sarangap@mst.edu

Areas of Interest

  • Systems and control
  • Neural network control
  • Event triggered control/cyber-physical systems
  • Resilience/prognostics
  • Autonomous systems/robotics

Bio

Jagannathan Sarangapani is at the Missouri University of Science and Technology, Rolla, MO, USA, where he is a Rutledge-Emerson Distinguished Professor and Site Director for the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems. He also has a courtesy appointment with the Department of Computer Science. He has co-authored around 138 peer-reviewed journal articles, over 245 refereed IEEE conference articles, several book chapters, and co-authored four books and two edited books. He is awarded with 19 patents, one defense publication, with several pending. He has supervised the completion of 20 doctoral students and 30 M.S. students. His research funding is in excess of $16 million dollars from NSF, NASA, AFRL, Sandia and from other companies. His current research interests include adaptive and neural network control, networked control systems/cyber physical systems, prognostics, and autonomous systems/robotics.  He served on various editorial boards and as a co-editor for the IET Book series on Control.

 

Education

  • Doctor of Philosophy in Electrical Engineering (1/92-8/94) Automation and Robotics Research Institute, University of Texas at Arlington Specialization: Nonlinear Adaptive Neural Network Control
  • Master of Science (9/87-12/89); University of Saskatchewan at Saskatoon, Canada Specialization: Embedded Control Systems and Robotics
  • Bachelor of Electrical Engineering (7/82-8/86); Anna University at Madras, India

 

Selected Publications

 

Journal Papers

  • Haifeng Niu, E. Taquiedin, and S. Jagannathan, “EPC Gen2v2 RFID standard authentication and ownership management protocol”, IEEE Transactions on Mobile Computing, , vol. 15, no. 1, pp. 137-149, 2016.
  • Jia Cai, H. Ferdowsi and S. Jagannathan, “Model-based fault detection, estimation and prediction for a class of linear one dimensional PDE”, Automatica, vol. 66, pp. 122-131, March 2016.
  • Hao Xu, Qiming Zhao, and S. Jagannathan, “Finite-horizon near optimal output feedback neural network control of quantized nonlinear discrete-time systems with input constraint, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 8, pp. 1776-1788, August 2015.
  • V. Narayanan and S. Jagannathan, "Distributed adaptive optimal regulation of uncertain large-scale interconnected systems using hybrid Q-learning approach,"  IET Control Theory & Applications, vol. 10, no. 12, pp. 1448-1457, 2016.
  • A. Sahoo, H. Xu and S. Jagannathan, “Neural network-based event-triggered state feedback control of nonlinear continuous-time systems”, IEEE Transactions on Neural Networks and Learning Systems, vol. 27. No. 3, pp.497-509, March 2016..
  • Qiming Zhao, Hao Xu, and S. Jagannathan, “Finite-horizon near optimal adaptive control of uncertain linear discrete-time systems”, Optimal Control, Applications, and Methods, vol. 36, no. 6, pp. 853-872, November/December 2015.
  • Q. Yang, S. Jagannathan and Y. Sun, “Robust integral of neural network and error sign control of MIMO nonlinear systems”, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 12, pp. 3278-3286, 2015, December 2015.
  • H. Zargarzadeh, T. Dierks, and S. Jagannathan, “Optimal control of nonlinear continuous-time systems in strict-feedback form”, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 10, pp. 2535-2549, October 2015.
  • Hao Xu, Qiming Zhao, and S. Jagannathan, “Finite-horizon near optimal output feedback neural network control of quantized nonlinear discrete-time systems with input constraint, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 8, pp. 1776-1788, August 2015.
  • N. Guzey, Hao Xu, and S. Jagannathan, “Localization of near-field sources in spatially colored noise”, IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 8, pp 2302-2311, August 2015.
  • Qiming Zhao, Hao Xu, and S. Jagannathan, “Optimal control of uncertain quantized linear discretetime systems”, International Journal of Adaptive Control and Signal Processing, vol. 29, no. 3, pp. 325-345, March 2015.
  • Qiming Zhao, Hao Xu, and S. Jagannathan, “Neural network-based finite-horizon optimal control of quantized uncertain affine nonlinear discrete-time systems”, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 3, pp. 486-499, March 2015.
  • Hao Xu and S. Jagannathan, “Neural network based finite horizon stochastic optimal control design for nonlinear networked control systems”, IEEE Transaction on Neural Networks and Learning Systems, vol. 26, no. 3, pp. 472-485, March 2015.
  • V. Thotla, M. Zawodniok, M. Ghasr, S. Jagannathan, and S. Agarwal, “Detection and localization of multiple R/C electronic devices using array detectors”, IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 1, pp. 241-251, January 2015.

 

Conference Papers

  • Vignesh Narayanan and S. Jagannathan, “'Distributed adaptive optimal regulation of uncertain large-scale linear networked control systems using Q-learning”, Proc. of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 587-592, December 2015.
  • Haifeng Niu and S. Jagannathan, “Optimal defense and control for cyber-physical systems”, Proc. of the Symposium Series on Computational Intelligence, pp. 634-639, December 2015.
  • Krishnan Raghavan and S. Jagannathan, “Hierarchical Mahalanobis distance clustering based technique for prognostics in applications generating Bigdata”, Proc. of the Symposium Series on Computational Intelligence, pp. 516-521, December 2015.
  • Jia Cai, Hasan Ferdowsi, and S. Jagannathan, “Model-based actuator fault accommodation for distributed parameter systems represented by coupled linear PDEs”, Proc. of the IEEE Multi-Conference on Systems and Control, pp. 978-983, Sept. 2015.
  • Behzad Talaei, S. Jagannathan, and John Singler, “Boundary control of linear one-dimensional parabolic PDE using neuro-dynamic programming”, Proc. of the IEEE Multi-Conference on Systems and Control, pp. 577-582,Sept. 2015.
  • Behzad Talaei, S. Jagannathan, and John Singler, “Adaptive dynamic programming boundary control of uncertain coupled semi-linear parabolic PDE”, Proc. of the IEEE Multi-Conference on Systems and Control, pp. 918-923,Sept. 2015.
  • A. Sahoo, Hao Xu, and S. Jagannathan, “Event-based neural network approximation and control of uncertain nonlinear continuous-time systems”, Proc. of the American Controls Conference, pp. 1567- 1572, July 2015.
  • H. Guzey, T. Dierks and S. Jagannathan, “Hybrid consensus-based formation control of agents with second order dynamics”, Proc. of the American Controls Conference, pp. 4386-4391, July 2015.
  • Jose Santiago Elvira Ceja, Edgar N. Sanchez, and S. Jagannathan, “Stochastic inverse optimal control of unknown linear networked control system in the presence of random delays and packet losses”, Proc. of the American Controls Conference, pp. 799-804, July 2015.
  • V. Narayanan, A. Sahoo and S. Jagannathan, “Optimal regulation of uncertain linear discrete-time systems using event-sampled Q-learning and adaptive dynamic programming”, Proc. of the Yale Workshop on Adaptive and Learning Systems, pp. 90-94, June 2015.

 

Books Published

  • S. Jagannathan and Hao Xu, “Optimal Networked Control Systems”, CRC Press, December 2015

 

Book Chapter(s)

  • Haci Guzey, Travis Dierks, and S. Jagannathan, “Hybrid consensus based control of nonholonomic mobile robots”, Springer, Editors: Lucian Busoniu, Levente Tamás, pp. 335-360, 2015.

 

Patents

  • Jagannathan Sarangapani, A. Ramachandran, C. Saygin, and K. Cha, “Decentralized Radio Frequency Identification System”,  US Patent No. 8143996B2, March 27, 2012.
  • Mehraeen and J. Sarangapani, “System and method for harvesting energy from environmental energy”, US Patent 8,129,887B2, March 6, 2012.

 

Recent Grants (active)

  • Industry/University Cooperative Research Center for Intelligent Maintenance Systems: Five Year Renewal Phase II, PI- NSF  2011-2016.
  • Event Triggered Control of  Networked Control Systems by using Adaptive Dynamic Programming, PI- NSF, 2014-2017.
  • Investigation of Advance Concepts in Passive Tags with Sensors with Data Communication, Security and Prognosis Applications, PI, Boeing.

 

Selected Awards

  • Fellow of the IEEE
  • Fellow of the IET (UK), Fellow of the Inst. Of Measurement & Control (UK)
  • Outstanding Teaching Award 2015, Teaching Commendation Award in 2005, Commended for Teaching Excellence in 2007, 2013
  • Faculty Excellence Award 2005-2006, 2006-2007

 

He has supervised/co-advised the completion of 24 doctoral students and 30 M.S. students.

 

Resume

 

Personal Web Page 

 

Intelligent Maintenance Systems Missouri S&T 

 

NSF

 

Auto-ID Research Group

 

Center for Intelligent Maintenance Systems