Learn · Advanced Control System Design for Aerospace Vehicles
Lecture 38 of 40Nonlinear Control Synthesis
Neuro-Adaptive Design for Flight Control
Dr. Radhakant Padhi · IISc Bangalore
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- Advanced Control System Design for Aerospace Vehicles, IISc Bangalore (at NPTEL)
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- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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All the lectures
- 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 - 1
- Linear Quadratic Regulator (LQR) Design - 2
- 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