Lecture Description
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Course Index
- Introduction and Motivation for Advanced Control Design
- Classical Control Overview I
- Classical Control Overview II
- Classical Control Overview III
- Classical Control Overview IV
- Basic Principles of Atmospheric Flight Mechanics
- Overview of Flight Dynamics I
- Overview of Flight Dynamics II
- Representation of Dynamical Systems I
- Representation of Dynamical Systems II
- Representation of Dynamical Systems III
- Review of Matrix Theory I
- Review of Matrix Theory II
- Review of Matrix Theory III
- Review of Numerical Methods
- Linearization of Nonlinear Systems
- First and Second Order Linear Differential Equations
- Time Response of Linear Dynamical Systems
- Stability of Linear Time Invariant Systems
- Controllability and Observability of Linear Time Invariant Systems
- Pole Placement Control Design
- Pole Placement Observer Design
- Static Optimization: An Overview
- Calculus of Variations: An Overview
- Optimal Control Formulation Using Calculus of Variations
- Classical Numerical Methods for Optimal Control
- Linear Quadratic Regulator (LQR) Design I
- Linear Quadratic Regulator (LQR) Design II
- Linear Control Design Techniques in Aircraft Control I
- Linear Control Design Techniques in Aircraft Control II
- Lyapunov Theory I
- Lyapunov Theory II
- Constructions of Lyapunov Functions
- Dynamic Inversion I
- Dynamic Inversion II
- Neuro-Adaptive Design I
- Neuro-Adaptive Design II
- Neuro-Adaptive Design for Flight Control
- Integrator Back-Stepping; Linear Quadratic (lQ) Observer
- An Overview of Kalman Filter Theory
Course Description
This is a senior-level course on Advanced Control System Design by Dr. Radhakant Padhi, Department of Aerospace Engineering, Indian Institute of Science, Bangalore
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