Skip to main content

Engineering, Architecture and Technology

Open Main MenuClose Main Menu


Rushikesh Kamalapurkar

Rushikesh Kamalapurkar


Ph.D., Mechanical Engineering
University of Florida, 2014

M.S., Mechanical Engineering
University of Florida, 2011

B.Tech., Mechanical Engineering
Visvesvaraya National Institute of Technology, 2007

Research Interests

  • Data-driven Control
  • Hybrid and Nonsmooth Systems
  • Cyber-Physical Systems
  • Socio-Ecological Systems
  • Nonlinear Control
  • Optimal Control
  • Reinforcement Learning
  • Assured Autonomy

Awards and Recognition

  • 2017, Elevated to the grade of IEEE Senior Member. IEEE Senior Membership is an honor bestowed only to those who have made significant contributions to the profession
  • 2015, MAE Best Dissertation Award, University of Florida, Gainesville, FL. MAE Teaching Fellowship, University of Florida, Gainesville, FL.
  • 2014, MAE Outstanding Graduate Research Award, University of Florida, Gainesville, FL.
  • 2013, IEEE CSS student travel support for the 52nd IEEE Conference on Decision and Control, Florence,Italy.
  • 2009, College of Engineering Achievement Award for new engineering graduate students, University ofFlorida, Gainesville, FL.

Professional Memberships

  • 2013­ IEEE Control Systems Society.
  • 2018 ­IEEE Robotics and Automation Society.

Courses Taught

  • Engineering Analysis and Methods
  • Introduction to Autonomous Systems
  • Optimal Control
  • Nonlinear Systems Analysis and Control
  • Automatic Control Systems

Recent Publications

  • R. Kamalapurkar, W. E. Dixon, and A. R. Teel, “On reduction of differential inclusions and Lya­punovstability,”ESAIMControlOptim.Calc.Var.,vol.26,2020.
  • A. Parikh, R. Kamalapurkar, and W. E. Dixon, “Integral concurrent learning: Adaptive control withparameterconvergenceusingfiniteexcitation,”Int.J.Adapt.ControlSignalProcess.,vol.33,no.12,pp. 1775–1787, 2019.
  • S. Thapa, R. V. Self, R. Kamalapurkar, and H. Bai, “Cooperative manipulation of an unknownpayload with concurrent mass and drag force estimation,”IEEE Control Syst. Lett., vol. 3, no. 4,pp. 907–912, 2019.
  • J. A. Rosenfeld, R. Kamalapurkar, and W. E. Dixon, “The state following approximation method,”IEEE Trans. Neural Netw. Learn. Syst., vol. 30, no. 6, pp. 1716–1730, 2019.
  • R. Kamalapurkar, J. A. Rosenfeld, A. Parikh, A. R. Teel, and W. E. Dixon, “Invariance­like re­sultsforswitchednonautonomousnonsmoothsystems,”IEEE Trans. Autom. Control,vol.64,no.2,pp. 614–627, 2019.
Back To Top