Course Details

Course details of EE6434
Course NoEE6434
Course TitleData Driven Control and Learning
Credit10
Course ContentThe course has 4 modules Module I: Multivariate data analysis methods for control SVD, Hankel and Toeplitz matrices, Fourier and wavelet transforms, Regression, Clustering Module 2 Data-driven modeling: Dynamic mode decomposition, Koopman operator theory, Sparse identification of nonlinear systems, Model reduction, Physics informed neural networks. Module 3: Data-driven control: Data driven representation of open and closed loop systems, Data-driven controller and observer design, Data-driven stabilization, Data-driven LQR, Designing controllers from Noisy data. Module 4: Advanced data driven methods Data enabled predictive control (DeeP-C), Reduced order models, Iterative Learning Control, Learnable MPC, Neural Lyapunov Control
Course Offered this semesterNo
Faculty Name