Syllabus
Vector and matrix Norms, Signal and System Norms, Singular Value Decomposition, Coprime factorization, LMIs, System representation, Sensitivity and Complementary sensitivity functions, pole and zero directions, performance imitations, well posedness, internal stability of feedback system, Nyquist plot, small gain theorem, Uncertainty representation (structured/parametric and unstructured), robust stability and robust performance, structured singular values, Kharitonov’s theorem, linear fractional transformation, stabilizing controllers, H- infinity controllers, μ synthesis, applications of robust control in physical systems, Loop shaping design procedures.
Text Books
Same as Reference
References
1. Multivariable Feedback Control: Analysis and Design, Sigurd Skogestad, Ian Postlethwaite,Wiley, 2005.
2. Essentials of Robust Control, Kemin Zhou,John C Doyle, Pearson, 1998.
3. Linear Systems-Optimal and Robust Control, Alok Sinha, CRC Press, 2007.
4. Robust Control Design with MATLAB, Da-Wei Gu, Petko H. Petkov, Mihail M Konstantinov, 2013.
Course Outcomes (COs):
CO1: In-depth knowledge of uncertainty representation and robustness
CO2: Proficiency in linear fractional transformation (LFT) for system analysis and design
CO3: Design advanced robust control design techniques
CO4: Apply robust control to practical engineering problems