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System Identification and Adaptive Control Techniques
Posted Date: 03 Apr 2008 Resource Type: News/Announcements Category: Short term courses
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Posted By: Bala Member Level: Diamond Rating: Points: 4
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National Institute of Technology Rourkela – 769 008, Orissa
System Identification and Adaptive Control Techniques 9th-13th JUNE, 2008
OBJECTIVES OF THE COURSE :
To introduce the participants (faculty, and practicing engineers) to the recently developed system identification and adaptive control theory and their applications to different engineering systems (robotics, power system, drives, communication channels, Biomedical systems and chemical processes and Mechatronic system).
In the interest of the industrial practitioners, a comprehensive survey of the various methods and procedures for performing system identification in the process industries will be provided.
The course will provide the participant a clear understanding of the fundamentals of system identification to make judicious, intelligent choices of methods and design variables in system identification & adaptive control.
The participants will get a feeling for the possibilities and limitations of various system identification techniques. The differences between linear and nonlinear system identification will also be addressed.
To provide the participants skills to design experiments, analyse data and to identify and validate models of dynamical systems, as appearing in industrial process control.
To gives a hands on practice on using MATLAB system identification toolboxes through a comprehensive series of computer lab exercises.
VENUE :
The course will be organized at the National Institute of Technology (NIT), Rourkela. It is one of the premier national level institutions for technical education in the country and is funded by the Government of India. It is situated at the eastern end of Rourkela steel city, beyond Sector-1 over an area of 262 hectares of land. NIT Rourkela has fourteen academic departments which offer B.Tech, M.Tech and PhD programs in various areas of engineering and technology. The Institute is a participant of the Technical Education Quality Improvement programme of Government of India.
CO-ORDINATOR The course will be handled by Dr. Bidyadhar Subudhi, Assistant Professor, Dept. of Electrical Engineering. Dr. Subudhi has been awarded a PhD degree in Control System Engineering from the University of Sheffield, U.K. in 2002 and M.Tech in Control and Instrumentation from IIT Delhi. He graduated in Electrical Engineering from REC Rourkela. Most recently Dr. Subudhi worked as a Post Doctoral Research Fellow in NUS, Singapore. His areas of research and teaching involvements include Adaptive Control, System Identification, Intelligent Control, and Robotics.
COURSE COVERAGE
Introduction to System Identification & Adaptive Control Recursive Least Square method Signals and Systems Overview Maximum Likelihood Method Non-parametric System Identification Kalman Filtering Prediction-Error Model Structures, Parameter Estimation and Classical Model Validation Soft Computing Approaches to System identification Parametric System Identification Deterministic Self-Tuning Regulators Closed-Loop Identification Stochastic and Predictive Self Tuning Regulators Identification of Multivariable Systems Model Reference Adaptive Systems Issues in Nonlinear System Identification Soft Computing Techniques for Adaptive Control
Case Studies : Control in the steel, chemical and paper industries Fault Detection & Diagnosis Power system Harmonics & Frequency Machine & Drives Control of Robot Manipulators
COURSE FEE AND REGISTARTION :
The course is expected to be sponsored by the Indian Society for Technical Education (ISTE), New Delhi. On confirmation of grant of sponsorship, some of the selected participants’ course fees, travel and boarding expenses will be borne by the ISTE. Application in prescribed format together with the requisite course fee in the form of a demand draft drawn in favour of Continuing Education, NIT Rourkela payable at SBI, NIT Branch, Rourkela-8 (code- 2109) is to be sent to the coordinator on or before 10th May 2008.
Type of Participants Course Fee Industry Rs.6000
Academic Institutions/Research Organizations Rs.5000
Registration fee includes boarding, lodging and course materials. Travel expenses shall be borne by the participants. Certificate will be awarded to the participants after successful completion of the course.
CORRESPONDENCE :
Prof. Bidyadhar Subudhi Department of Electrical Engineering NATIONAL INSTITUTE OF TECHNOLOGY ROURKELA-769008, ORISSA Website: http://www.nitrkl.ac.in Ph: 0661 – 2462416 (O), 0661 - 2463416 (R) e-mail: bidyadhar@nitrkl.ac.in bidyadharnitrkl@gmail.com
For more details, visit http://www.nitrkl.ac.in
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