Graduated Doctoral Students (Year-wise)
2007
2007 2008 | 2009 | 2010 | 2011 | 2012 | 2013 |
Research Interest: Identification and Control of Processes, Automatic Controller Tuning, Mobile Robot, Network Congestio
Thesis Supervisor: Prof. Somanath Majhi
Thesis title: Limit Cycle Approach for Identification and Control of Processes
Abstract:The thesis is concerned with identification and control of single-input-single-output (SISO) and two-input-two-output (TITO) processes based on relay induced limit cycles. A relay based on-line identification method for stable and unstable SISO processes is proposed where the process model parameters are estimated from a single relay test. An ideal relay in parallel with a proportional-integral-derivative (PID) controller induces a limit cycle oscillation whose frequency and amplitude are used for the process identification.read more
Email ID:prabin16@iiitdmj.ac.in,
Contact:+91-9425-155-297
2008
2008 2007 | 2009 | 2010 | 2011 | 2012 | 2013 |
Research Interest:Control Systems, Evolutionary algorithms, New tuning strategies for controller design, Relay based system identification
Thesis Supervisor: Prof. Somanath Majhi
Thesis title:Controller Design Methods for Linear Systems with Emphasis on Integrating Processes
Abstract:N/A
read moreEmail ID:ali@iitp.ac.in
Contact:+91-612-2552044
2009
2009 2007 | 2008 | 2010 | 2011 | 2012 | 2013 | 2015 |
Research Interest: Soft Computing, Nonlinear system identification and Control
Thesis Supervisor: Prof. Chitralekha Mahanta
Thesis title:Adaptive Network Based Fuzzy Inference System (ANFIS) as a Tool for System Indentification with Special Emphasis on Training Data Minimization
Abstract:Nearly two decades back nonlinear system identification consisted of several ad-hoc approaches which were restricted to a very limited class of systems. However, with the advent of the various soft computing methodologies like neural networks, the fuzzy logic and the genetic algorithm combined with modern structure optimization techniques, a wider class of systems can be handled at present.read more
Email ID:mrinalburagohain@gmail.com
Contact:+91-9435-112-791
2010
2010 2007 | 2008 | 2009 | 2011 | 2012 | 2013 | 2015 |
Dr. Senthilkumar D
Research Interest:
Thesis Supervisor: Prof. Chitralekha Mahanta
Thesis title: Design of Robust Fuzzy Controllers for Uncertain Nonlinear Systems
Abstract:This thesis deals with the analysis and design of robust fuzzy controllers for uncertain nonlinear systems using Takagi-Sugeno (T-S) model based approach. A T-S fuzzy model is used here to approximate the uncertain nonlinear systems where the nominal model and uncertain terms of the consequent parts of the fuzzy model are identified by a linear programming approach and then they are expressed in a form suitable for robust fuzzy controller design.read more
Email ID:N/A
Contact:N/A
2011
2011 2007 | 2008 | 2009 | 2010 | 2012 | 2013 | 2015 |
Research Interest:Analog circuit design for control applications, System modeling using advanced control theory, Automatic tuning of industrial controllers, Relay based identification
Thesis Supervisor: Prof. Somanath Majhi
Thesis title:Relay Feedback Method for Process Modeling
Abstract:From a practical and simplicity point of views, the relay feedback identification is extended to the various fields of process control industries. The proposed techniques yield significantly improved accuracy over the conventional relay feedback method by deriving the explicit expressions for unknown process model parameters in terms of the output limit cycle data.read more
Email ID:mehta_u@usp.ac.fj
Contact:+679-32-32337
2012
2012 2007 | 2008 | 2009 | 2010 | 2011 | 2013 | 2015 |
Dr. Dola Gobinda Padhan
Research Interest:
Thesis Supervisor: Prof. Somanath Majhi
Thesis title: Improved Control Structures and Methodologies for Linear Processing with Delay
Abstract:The aim of this thesis is to investigate various control structures and strategies for time delay processes. Time delays (dead times) appear in many processes in industry, economics, biology, communication networks etc. The presence of dead times complicates the control design and exerts severe limitations on the performance of such systems. Hence control structures that can potentially improve the performance of those processes are of central importance. Simple controllers, easy to design and tune, are very important in process industries. In this thesis, some control schemes based on a new but very simple Smith Predictor are presented
read moreEmail ID:
Contact:N/A
2013
2013 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2015 |
Research Interest:Smart Grid, Vehicle to Grid, Renewable Energy Sources, Distributed Generation
Thesis Supervisor: Dr. Praveen Kumar and Dr. Indrani Kar
Thesis title:Vehicle to Grid Implementation using Fuzzy Logic Controller
Abstract:N/A
read moreEmail ID:mukesh.singh@thapar.edu
Contact:N/A
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Dr. Sanjoy Mondal
Research Interest:Control Systems
Thesis Supervisor: Prof. Chitralekha Mahanta
Thesis title:Adaptive Second Order Sliding Mode Control Stratgies for Uncertain Systems
Abstract:The main objective of this thesis is to develop robust sliding mode control strategies for uncertain systems. More specifically, the aim of this thesis is to develop sliding mode control schemes which are successful in controlling systems affected by both matched and mismatched types of uncertainty.read more
Year of Joining:2008
Email ID:arobindra@iitg.ac.in
Contact:N/A
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Dr. Krishna Pal Singh Parmar
Research Interest:State Space Based Load Frequency Control of Multi-Area Power Systems
Thesis Supervisor: Prof. Somanath Majhi and Prof. D.P.Kothari
Thesis title:N/A
Abstract:N/A
read moreEmail ID:trusna@iitg.ac.in
Contact:N/A
2015
2015 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 |
Dr. Ashish Kumar Namdeo
Research Interest:N/A
Thesis Supervisor:Prof. H.B.Nemade
Thesis title:Surface Acoustic Wave Devices with Non-Contact Interdigital Transducers
Abstract:N/A
read moreEmail ID:d.uddipana@iitg.ac.in
Contact:+91-9085-817-933
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Dr. Bajarangbali
Research Interest:N/A
Thesis Supervisor:Prof. Somanath Majhi
Thesis title:Identification of Process Dynamics Using Relay with Hysteresis
Abstract:In recent years, many research work on relay based process identification have been reported. Still there is much scope for improvements and extensions of this method. In this thesis using describing function technique explicit expressions are derived and using state space method improved results are obtained. This thesis presents identification of single-input-single-output (SISO) and two-input-two output (TITO) process dynamics using relay with hysteresis. The analytical expressions are derived based on describing function (DF) technique and state space method. The DF technique is applied to develop off-line and on-line identification methods for SISO and TITO processes whereas the state space method is applied for off-line identification of SISO processes.read more
Email ID:d.uddipana@iitg.ac.in
Contact:+91-9085-817-933