Главная
Study mode:
on
1
Mod-01 Lec-01 Introduction and Motivation for Advanced Control Design
2
Mod-02 Lec-02 Classical Control Overview - I
3
Mod-02 Lec-03 Classical Control Overview - II
4
Mod-02 Lec-04 Classical Control Overview - III
5
Mod-02 Lec-05 Classical Control Overview -- IV
6
Mod-03 Lec-06 Basic Principles of Atmospheric Flight Mechanics
7
Mod-03 Lec-07 Overview of Flight Dynamics - I
8
Mod-03 Lec-08 Overview of Flight Dynamics -- II
9
Mod-04 Lec-09 Representation of Dynamical Systems -- I
10
Mod-04 Lec-10 Representation of Dynamical Systems -- II
11
Mod-04 Lec-11 Representation of Dynamical Systems -- III
12
Mod-05 Lec-12 Review of Matrix Theory - I
13
Mod-05 Lec-13 Review of Matrix Theory - II
14
Mod-05 Lec-14 Review of Matrix Theory - III
15
Mod-06 Lec-15 Review of Numerical Methods
16
Mod-07 Lec-16 Linearization of Nonlinear Systems
17
Mod-08 Lec-17 First and Second Order Linear Differential Equations
18
Mod-08 Lec-18 Time Response of Linear Dynamical Systems
19
Mod-08 Lec-19 Stability of Linear Time Invariant Systems
20
Mod-08 Lec-20 Controllability and Observability of linear Time Invariant Systems
21
Mod-09 Lec-21 Pole Placement Control Design
22
Mod-09 Lec-22 Pole Placement Observer Design
23
Mod-10 Lec-23 Static Optimization: An Overview
24
Mod-11 Lec-24 Calculus of Variations: An Overview
25
Mod-11 Lec-25 Optimal Control Formulation using Calculus of Variations
26
Mod-11 Lec-26 Classical Numerical Methods for Optimal Control
27
Mod-11 Lec-27 Linear Quadratic Regulator (LQR) Design - 1
28
Mod-11 Lec-28 Linear Quadratic Regulator (LQR) Design - 2
29
Mod-12 Lec-29 Linear Control Design Techniques in Aircraft Control--I
30
Mod-12 Lec-30 Linear Control Design Techniques in Aircraft Control -- I
31
Mod-13 Lec-31 Lyapunov Theory -- I
32
Mod-13 Lec-32 Lyapunov Theory -- II
33
Mod-13 Lec-33 Constructions of Lyapunov Functions
34
Mod-14 Lec-34 Dynamic Inversion -- I
35
Mod-14 Lec-35 Dynamic Inversion -- II
36
Mod-14 Lec-36 Neuro-Adaptive Design -- I
37
Mod-14 Lec-37 Neuro-Adaptive Design -- II
38
Mod-14 Lec-38 Neuro-Adaptive Design for Flight Control
39
Mod-15 Lec-39 Integrator Back-Stepping; Linear Quadratic (lQ) Observer
40
Mod-15 Lec-40 An Overview of Kalman Filter Theory
Description:
Explore advanced control system design techniques for aerospace vehicles in this comprehensive course. Delve into classical control theory, atmospheric flight mechanics, and flight dynamics. Master the representation of dynamical systems, matrix theory, and numerical methods. Study linearization of nonlinear systems, stability analysis, and controllability concepts. Learn pole placement control and observer design, optimal control formulation, and Linear Quadratic Regulator (LQR) design. Examine Lyapunov theory, dynamic inversion, and neuro-adaptive design for flight control. Gain insights into integrator back-stepping, LQ observers, and Kalman filter theory. Develop expertise in applying these advanced control techniques to aircraft and aerospace systems.

Advanced Control System Design for Aerospace Vehicles

NPTEL
Add to list
#Engineering #Aerospace Engineering #Mathematics #Applied Mathematics #Numerical Methods #Mathematical Modeling #Dynamical Systems #Algebra #Linear Algebra #Linearization
1 of 40

Mod-01 Lec-01 Introduction and Motivation for Advanced Control Design