EC886 Data-Driven Modeling, Filtering and Control

Course Name: 

EC886 Data-Driven Modeling, Filtering and Control

Programme: 

M.Tech(SPML)

Category: 

Elective (Ele)

Credits (L-T-P): 

(3-0-2) 4

Content: 

Data-Driven Dynamical Systems, Data-Driven Control, Adaptive Control, linear control, learning in control, machine learning control (MLC), supervised nonparametric identification of Wiener systems, Dynamic measurement, iterative learning control, data-driven controller design techniques, Model-free Adaptive Control Design, Taming Nonlinear Dynamics with MLC, MLC Tactics and Strategy, Statistical Fault Detection Problems, Fault Diagnosis, Partial Least Squares Regression to Fault Diagnosis, Data-Driven Diagnosis Schemes, Adaptive Fault Diagnosis Schemes, Iterative Optimization of Process Monitoring and Fault Detection Systems, Fault-Tolerant Control Architecture and Design Issues, Safe Switching Adaptive Control, Model Predictive Control

References: 

Ali Khaki-Sedigh, An Introduction to Data-Driven Control Systems, John Wiley & Sons, 2023.
Carlo Novara, Simone Formentin, Data-Driven Modeling, Filtering and Control: Methods and applications, The Institution of Engineering and Technology, 2019.
Steven L. Brunton, J. Nathan Kutz, Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control, Cambridge University Press, 2022.
Biao Huang, Ramesh Kadali, Dynamic Modeling, Predictive Control and Performance Monitoring: A Data-driven Subspace Approach, Springer-Verlag, 2008.
Margareta Stefanovic, Michael G. Safonov, Safe Adaptive Control: Data-Driven Stability Analysis and Robust Synthesis, Springer-Verlag, 2011.

Department: 

Electronics and Communication Engineering(ECE)
 

Contact us

Prof. Ramesh Kini M.
Professor and Head,
Department of ECE, NITK, Surathkal,
P. O. Srinivasnagar,
Mangalore - 575 025 Karnataka, India.

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