R. Mitra

Work place: Electronics & Computer Engineering Department, Indian Institute of Technology Roorkee, Uttarakhand, India

E-mail: rmtrafec@iitr.ernet.in


Research Interests: Robotics, Control Theory


R. Mitra was born in 1945 in Allahabad(UP, India). He had his early education up to B.Sc.from Lucknow. Subsequently he obtained M.Sc. (Tech.) from the University of Allahabad and M.Tech. from IIT Kharagpur. He did his Ph.D. in the area of Control Systems in 1976 from University of Roorkee.

Besides post doctoral work at DFVLR laboratory in West Germany, he had been in the faculty of Department of Systems and Control, University of Technology, Baghdad and Thapar Engineering College, Patiala. For the past 40 years Dr. Mitra is with the Department of Electronics and Computer Engineering, Indian Institute of Technology, Roorkee (Formerly University of Roorkee), teaching various courses in the area of control systems, electronic instrumentation and microprocessor application. His area of research includes System Theory, Control Systems; Microprocessor based Instrumentation & Control, Robotics.

Author Articles
Design of Type-2 Fuzzy Controller based on LQR Mapped Fusion Function

By Abhishek Kumar Sudeep Sharma R. Mitra

DOI: https://doi.org/10.5815/ijisa.2012.08.03, Pub. Date: 8 Jul. 2012

“Rule number explosion” in fuzzy controller and “uncertainty” in the model are two main issues in the design of fuzzy control systems. To overcome these problems, we have applied a method in which a linear sensory fusion function has been used to reduce the number of dimensions of fuzzy controller’s inputs and simultaneously use the features of LQR control. Since, in type-2 fuzzy control, the degree of fuzziness increased and it can better handle the uncertainty in the model compared to conventional fuzzy, so the method of sensory fusion with type-2 fuzzy control scheme has been combined to make the controller more robust w.r.t. the parameter variation, perturbance and uncertainty in the model. Performance criteria like IAE, ISE and ITAE have been used to compare the control performance obtained from conventional fuzzy and type-2 fuzzy controller.

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