Description: Advanced Control System Design for Aerospace Vehicles
Curriculum
- 1 Section
- 40 Lessons
- 10 Weeks
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- Advanced Control System Design for Aerospace Vehicles40
- 2.1Introduction and Motivation for Advanced Control Design
- 2.2Classical Control Overview – I
- 2.3Classical Control Overview – II
- 2.4Classical Control Overview – III
- 2.5Classical Control Overview – IV
- 2.6Basic Principles of Atmospheric Flight Mechanics
- 2.7Overview of Flight Dynamics – I
- 2.8Overview of Flight Dynamics – II
- 2.9Representation of Dynamical Systems – I
- 2.10Representation of Dynamical Systems – II
- 2.11Representation of Dynamical Systems – III
- 2.12Review of Matrix Theory – I
- 2.13Review of Matrix Theory – II
- 2.14Review of Matrix Theory – III
- 2.15Review of Numerical Methods
- 2.16Linearization of Nonlinear Systems
- 2.17First and Second Order Linear Differential Equations
- 2.18Time Response of Linear Dynamical Systems
- 2.19Stability of Linear Time Invariant Systems
- 2.20Controllability and Observability of linear Time Invariant Systems
- 2.21Pole Placement Control Design
- 2.22Pole Placement Observer Design
- 2.23Static Optimization: An Overview
- 2.24Calculus of Variations: An Overview
- 2.25Optimal Control Formulation using Calculus of Variations
- 2.26Classical Numerical Methods for Optimal Contro
- 2.27Linear Quadratic Regulator (LQR) Design – 1
- 2.28Linear Quadratic Regulator (LQR) Design – 2
- 2.29Linear Control Design Techniques in Aircraft Control – I
- 2.30Linear Control Design Techniques in Aircraft Control – I
- 2.31Lyapunov Theory – I
- 2.32Lyapunov Theory -II
- 2.33Constructions of Lyapunov Functions
- 2.34Dynamic Inversion – I
- 2.35Dynamic Inversion -II
- 2.36Neuro-Adaptive Design -I
- 2.37Neuro-Adaptive Design — II
- 2.38Neuro-Adaptive Design for Flight Control
- 2.39Integrator Back-Stepping & Linear Quadratic (lQ) Observer
- 2.40An Overview of Kalman Filter Theory
