Advanced Control System Design for Aerospace Vehicles in 2020

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About Course

Advanced Control System Design for Aerospace Vehicles.

In this course concepts and techniques of linear and nonlinear control system analysis and synthesis will be studied in the modern control (state space) framework. It will have a preferential bias towards aerospace applications, especially towards guidance and control of aircraft and missiles.

Advanced Control System

However, the theory, as well as many demonstrative examples, will be quite generic and hence this course is expected to be useful to the students from many other engineering disciplines
as well.

What Will You Learn?

  • Learn everything about the Advanced Control System Design for Aerospace Vehicles

Course Content

Advanced Control System Design for Aerospace Vehicles

  • Mod-01 Lec-01 Introduction and Motivation for Advanced Control Design
    00:00
  • Mod-02 Lec-02 Classical Control Overview – I
    00:00
  • Mod-02 Lec-03 Classical Control Overview – II
    00:00
  • Mod-02 Lec-04 Classical Control Overview – III
    00:00
  • Mod-02 Lec-05 Classical Control Overview — IV
    00:00
  • Mod-03 Lec-06 Basic Principles of Atmospheric Flight Mechanics
    00:00
  • Mod-03 Lec-07 Overview of Flight Dynamics – I
    00:00
  • Mod-03 Lec-08 Overview of Flight Dynamics — II
    00:00
  • Mod-04 Lec-09 Representation of Dynamical Systems — I
    00:00
  • Mod-04 Lec-10 Representation of Dynamical Systems — II
    00:00
  • Mod-04 Lec-11 Representation of Dynamical Systems — III
    00:00
  • Mod-05 Lec-12 Review of Matrix Theory – I
    00:00
  • Mod-05 Lec-13 Review of Matrix Theory – II
    00:00
  • Mod-05 Lec-14 Review of Matrix Theory – III
    00:00
  • Mod-06 Lec-15 Review of Numerical Methods
    00:00
  • Mod-07 Lec-16 Linearization of Nonlinear Systems
    00:00
  • Mod-08 Lec-17 First and Second Order Linear Differential Equations
    00:00
  • Mod-08 Lec-18 Time Response of Linear Dynamical Systems
    00:00
  • Mod-08 Lec-19 Stability of Linear Time Invariant Systems
    00:00
  • Mod-08 Lec-20 Controllability and Observability of linear Time Invariant Systems
    00:00
  • Mod-09 Lec-21 Pole Placement Control Design
    00:00
  • Mod-09 Lec-22 Pole Placement Observer Design
    00:00
  • Mod-10 Lec-23 Static Optimization: An Overview
    00:00
  • Mod-11 Lec-24 Calculus of Variations: An Overview
    00:00
  • Mod-11 Lec-25 Optimal Control Formulation using Calculus of Variations
    00:00
  • Mod-11 Lec-26 Classical Numerical Methods for Optimal Control
    00:00
  • Mod-11 Lec-27 Linear Quadratic Regulator (LQR) Design – 1
    00:00
  • Mod-11 Lec-28 Linear Quadratic Regulator (LQR) Design – 2
    00:00
  • Mod-12 Lec-29 Linear Control Design Techniques in Aircraft Control–I
    00:00
  • Mod-12 Lec-30 Linear Control Design Techniques in Aircraft Control — I
    00:00
  • Mod-13 Lec-31 Lyapunov Theory — I
    00:00
  • Mod-13 Lec-32 Lyapunov Theory — II
    00:00
  • Mod-13 Lec-33 Constructions of Lyapunov Functions
    00:00
  • Mod-14 Lec-34 Dynamic Inversion — I
    00:00
  • Mod-14 Lec-35 Dynamic Inversion — II
    00:00
  • Mod-14 Lec-36 Neuro-Adaptive Design — I
    00:00
  • Mod-14 Lec-37 Neuro-Adaptive Design — II
    00:00
  • Mod-14 Lec-38 Neuro-Adaptive Design for Flight Control
    00:00
  • Mod-15 Lec-39 Integrator Back-Stepping; Linear Quadratic (lQ) Observer
    00:00
  • Mod-15 Lec-40 An Overview of Kalman Filter Theory
    00:00

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