Kannan M. Moudgalya's photograph

Kannan M. Moudgalya

B.Tech in Chemical Engineering, IIT Madras, June 1980
Master of Electrical Engineering, Rice University, May 1985
Ph.D, Chemical Engineering, Rice University, May 1985
Room:
311
Off:
+91 (22) 2576 7213
Res:
+91 (22) 2576 8213
Fax:
+91 (22) 2572 6895
Email:
kannan[AT]che.iitb.ac.in

Link To Detailed Information

Research Areas

  • Dynamical Systems, Equivalent Dynamics, Sliding Mode Dynamics, Discontinuity Detection, Discontinuity Sticking, Differential Algebraic Equations, Process Control, Digital Control, Computer Control, Reactor Control, Grade Transition, Resource Allocation
  • Awards and Affiliations

    1. Best Paper Presentation Award for "Control of a high index DAE system through a linear control law" by P. Vora,
    2. K. Moudgalya and A. K. Pani, American Contro Conference, Anchorage, 8 May 2002.
    3. Lovraj Kumar Industry-Academia Exchange Fellowship, April 1997
    4. Best Poster Award for the paper ``An Integrated Simulation Environment'' by S. H. Rao, K. Moudgalya, K. V. Nori.
    5. G. Sivakumar, International Conference on Advances in Chemical Engineering, 11-13 Dec. 1996, IIT Madras.
    6. National Merit List, Government of India, May 1974.

    Current Research

    • Dynamics
      We are studying discontinuous dynamical systems that exhibit the property of sliding.? A large number of systems, including large industrial polymer reactors and modelled by differential algebraic equations (DAEs) have been shown to exhibit this behaviour. The concept of equivalent dynamics has been shown to speed up sliding DAE systems by 10,000 times.
    • Control
      We are looking at the control of chemical processes, especially reactors. We have effectively controlled reactors that exhibit nonlinearities and modelled by DAEs through simple controllers, such as, lead and PID.
      We have also successfully applied control techniques in network related applications.? We have shown that a combination of ARX modelling strategy and an adaptively detuned proportional controller chould help reduce the network traffic substantially without affecting the fidelity. We have also looked at control of systems, such as, aninverted pendulum through internet. Handling of performance deterioration through network delays is being studied.
    • Simulation
      We have worked on the topic of simulation methodologies and simulation environments through modern computing tools.? This approach hasbeen applied to simulation of neuro transmission in muscle cells.Automatic model derivation from first principles and data driven modelgeneration are some focus areas.

    Selected Publications

    1. K. M. Moudgalya and V. Ryali,"A class of discontinuous dynamical systems I. An ideal gas-liquid system", Chemical Engineering Science, Vol. 56, 3595-3609, 2001.
    2. K. M. Moudgalya, S. K. Singh, K. P. Madhavan and G. Jain), "A class of discontinuous dynamical systems IV. A laboratory air-water system", Chemical Engineering Science, Vol. 58, 3973-3983, 2003.
    3. N. M. Rao, P. Vora and K. M. Moudgalya, "PID control of DAE systems", I&EC Research, Vol. 42, pp. 4599-4610, 2003.
    4. S. A. V. Manickam, K. M. Moudgalya and A. K. Pani, "Higher order fully discrete scheme combined with H^1-Galerkin mixed finite element method for semilinear reaction-diffusion equations", Journal of Applied Mathematics and Computing, In Print.
    5. R. K. Majumdar, K. M. Moudgalya and K. Ramamritham, "Adaptive Coherency Maintenance Techniques for Time-Varying Data", The 24th IEEE International Real-Time Systems Symposium (RTSS), Cancun, 3-5, December 2003.
    More Details ...


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