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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Bombay |
The Syllabus
- Introduction to Adaptive Control; Common myths in control; Vector, Matrix and Signal Norms
- Barbalat’s Lemma and Illustration of use; Equilibrium definitions;
- Lyapunov Stability definitions – stability, uniformity, attractivity, asymptotic stability, exponential stability; Stability of Linear systems.
- Function classes; Definiteness, radial boundedness, decrescence; Lyapunov stability theorems
- La Salle’s Invariance; Persistence of Excitation; Uniform Complete Observability; Alternate Exponential stability theorems
- Certainty Equivalence Adaptive control – First and Second order systems; Detectability obstacle and Ortega construction
- Introduction to Backstepping in Adaptive Control; Backstepping for unmatched unknown
- Unknown Control Gain adaptation; Model Reference Adaptive Control (MRAC)
- Integrator backstepping adaptation general case; Extended Matching – integrator backstepping adaptation
- Tuning Functions based integrator backstepping adaptation, Robustness in adaptive control – sigma modification; Parameter projection
- Initial excitation adaptive control – single and double integrator
- Deep Learning – Introduction and applications, Radial Basis function based Neural Network function approximation, Multilayer Neural Networks
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