Advanced Control System Design for Aerospace Vehicles


Lecture 1 - Introduction and Motivation for Advanced Control Design


Lecture 2 - Classical Control Overview - I


Lecture 3 - Classical Control Overview - II


Lecture 4 - Classical Control Overview - III


Lecture 5 - Classical Control Overview - IV


Lecture 6 - Basic Principles of Atmospheric Flight Mechanics


Lecture 7 - Overview of Flight Dynamics - I


Lecture 8 - Overview of Flight Dynamics - II


Lecture 9 - Representation of Dynamical Systems - I


Lecture 10 - Representation of Dynamical Systems - II


Lecture 11 - Representation of Dynamical Systems - III


Lecture 12 - Review of Matrix Theory - I


Lecture 13 - Review of Matrix Theory - II


Lecture 14 - Review of Matrix Theory - III


Lecture 15 - Review of Numerical Methods


Lecture 16 - Linearization of Nonlinear Systems


Lecture 17 - First and Second Order Linear Differential Equations


Lecture 18 - Time Response of Linear Dynamical Systems


Lecture 19 - Stability of Linear Time Invariant Systems


Lecture 20 - Controllability and Observability of linear Time Invariant Systems


Lecture 21 - Pole Placement Control Design


Lecture 22 - Pole Placement Observer Design


Lecture 23 - Static Optimization: An Overview


Lecture 24 - Calculus of Variations: An Overview


Lecture 25 - Optimal Control Formulation using Calculus of Variations


Lecture 26 - Classical Numerical Methods for Optimal Control


Lecture 27 - Linear Quadratic Regulator (LQR) Design - 1


Lecture 28 - Linear Quadratic Regulator (LQR) Design - 2


Lecture 29 - Linear Control Design Techniques in Aircraft Control - I


Lecture 30 - Linear Control Design Techniques in Aircraft Control - II


Lecture 31 - Lyapunov Theory - I


Lecture 32 - Lyapunov Theory - II


Lecture 33 - Constructions of Lyapunov Functions


Lecture 34 - Dynamic Inversion - I


Lecture 35 - Dynamic Inversion - II


Lecture 36 - Neuro-Adaptive Design - I


Lecture 37 - Neuro-Adaptive Design - II


Lecture 38 - Neuro-Adaptive Design for Flight Control


Lecture 39 - Integrator Back-Stepping; Linear Quadratic (lQ) Observer


Lecture 40 - An Overview of Kalman Filter Theory