Rajneesh Sharma



Responsive image
  • Profile
  • QualificationsB.E., M.E., Ph.D. IIT/D
  • DesignationAssociate Professor
  • DivisionInstrumentation and Control Engineering
  • Contact No.+91-11-25000242(O)
  • E-Mailraj_mgopal@rediffmail.com

Biosketch

Dr. Rajneesh Sharma did his B.E. in Electrical Engineering from Delhi College of Engineering, Delhi University and M.E. in Control and Instrumentation from Delhi College of Engineering, Delhi University. He did his Ph.D. in Intelligent Control of Non Linear Systems from Indian Institute of Technology, Delhi. Thereafter Dr. Sharma carried out Post Doctoral Research at Institute for Systems and Robotics, IST, Lisbon, Portugal for one year. Dr. Sharma has worked in BHEL, Department of Telecommunications as IES and Indian Railways as IES officer prior to joining NSIT in 2001. He has published about 20 research papers in reputed refereed journals and conferences.

Areas of Interest

Neural Networks, Fuzzy Systems, Intelligent Controllers, Robotics, Game based adaptive control, Control Systems and Multi agent Systems

[1] Rajneesh Sharma, and Matthijs T. J. Spaan, " Bayesian Game Based Fuzzy Reinforcement Learning Control for Decentralized POMDPs ", IEEE Transactions on Computational Intelligence in AI and Games, vol. 4, issue 4, pp. 309-328, December 2012.

[2] Rajneesh Sharma, and M. Gopal, “Synergizing Reinforcement Learning and Game Theory - A new direction for Control,” Applied Soft Computing Journal, Elsevier Sciences,vol. 10, issue 3, pp. 675-688, June 2010.

[3] Rajneesh Sharma, and M. Gopal, “Hybrid game strategy in Fuzzy Markov Game based Control,” IEEE Transactions on Fuzzy Systems, vol. 16, issue 5, pp. 1315 – 1327, Oct. 2008.

[4] Rajneesh Sharma, and M. Gopal, “A Markov Game Adaptive Fuzzy Controller for Robot Manipulators,” IEEE Transactions on Fuzzy Systems, vol. 16, issue 1, pp. 171 – 186, Feb. 2008.

[5] Rajneesh Sharma, and M. Gopal, “A robust Markov game controller for nonlinear systems,” Applied Soft Computing Journal, Elsevier Science, vol. 7, issue 3, pp. 818-827, June 2007.

[6] Rajneesh Sharma, and M. Gopal, “Trajectory-Based Modified Policy Iteration,” International Journal of Computational Intelligence, vol. 3, no. 2, pp. 169-178, 2006.

[7] Rajneesh Sharma, and M. Gopal, “A Markov Game Controller for Finite State Space Nonlinear Systems,” International Journal of Computational Cognition (IJCC), vol. 4, no.3, pp. 9-14, 2006.

[8] Rajneesh Sharma, and M. Gopal, “Markov Game Controller Design Algorithms,” International Journal of Computational Intelligence, vol. 3, no. 2, pp. 215-223, 2006.

[9] Rajneesh Sharma, and M. Gopal, “A Hybrid Markov Game Controller for Nonlinear Systems,” International Journal of Computational Cognition (IJCC), vol. 5, no.1, pp. 1-7, March 2007.

[10] Rajneesh Sharma, and M. Gopal, “Reinforcement Learning based Game-theoretic Neural Controller,” 2006 American Control Conference, Minneapolis (USA), June 14-16, 2006, pp. 2975-2980.

[11] Rajneesh Sharma, and M. Gopal, “A Safe and Consistent Game- theoretic Controller for Nonlinear Systems,” 2nd Indian International Conference on Artificial Intelligence (IICAI-05), December20-22, Pune, India, pp. 23-37, 2005.

[12] Rajneesh Sharma, and M. Gopal, “A Hybrid Game-theoretic Approach to Controller Design for Nonlinear Systems,” IPSI- 2005 USA conference, July 8-9, M.I.T., USA, 2005.

[13] Rajneesh Sharma and Matthijs T. J. Spaan , “A Bayesian Game based Adaptive Fuzzy Controller for Multi agent POMDPs,” in Proceedings of FUZZ IEEE 2010, July 18-23, Barcelona, Spain, 2010.

[14] Rajneesh Sharma and Matthijs T. J. Spaan , “Fuzzy Reinforcement Learning Control for
Decentralized Partially Observable Markov Decision Processes,” in Proceedings of FUZZ IEEE 2011, June 27-30, Taipei, Taiwan, 2011.

[15] Rajneesh Sharma, and M. Gopal, “ Fictitious Play based Markov Game Control for Robotic Arm Manipulator”, 3rd IEEE International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), Amity University, Noida, Uttar Pradesh, India, pp. 1-6, October 8-10, 2014.

[16] Rajneesh Sharma, “Fuzzy Q Learning based UAV Autopilot”, IEEE conference on Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH-14), Krishna Institute of Engineering and Technology (KIET), Ghaziabad, Uttar Pradesh, India, pp. 29-33, November 28-29, 2014.

[17] Rakhi Saxena and Rajneesh Sharma, “A Hybrid Lyapunov Fuzzy Reinforcement Learning Controller”, IEEE 9th India Com Conference, Computing for Sustainable Global Development, at Bharti Vidyapeeth University, pp. 2161-2165, New Delhi, 11-13th March 2015.

[18] Runa and Rajneesh Sharma, “A Lyapunov theory based Adaptive Fuzzy Learning Control for Robotic Manipulator”, IEEE Conference on Recent Developments in Control, Automation and Power Engineering
(RDCAPE) 2015, Amity University, 12-13th March 2015.

[19] Abhishek Kumar and Rajneesh Sharma, “A Stable Lyapunov Constrained Reinforcement Learning based Neural Controller for Non Linear Systems”, IEEE International Conference on Computing, Communication
and Automation (ICCCA 2015), 15-16th May, 2015 at School of Computing Science and Engineering, Galgotia University, Uttar Pradesh, India.