Aerospace - Advanced Control System Design for Aerospace Vehicles
Master Modern Control Systems: From Fundamentals to Advanced Flight Dynamics
5.0
(0)
7 learners
What you'll learn
- Understand advanced control design principles for effective system analysis
- Apply classical control techniques to analyze flight dynamics
- Master the concepts of matrix theory, numerical methods, and their applications in control systems
- Design control systems using pole placement, optimal control, and Lyapunov theory
This course includes
- 38.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 40 lessons • 38.3 hours of video
Advanced Control Systems: Theory and Design Techniques
40 lessons
• 38.3 hours
Advanced Control Systems: Theory and Design Techniques
40 lessons
• 38.3 hours
- Mod-01 Lec-01 Introduction and Motivation for Advanced Control Design58:56
- Mod-02 Lec-02 Classical Control Overview - I57:21
- Mod-02 Lec-03 Classical Control Overview - II57:42
- Mod-02 Lec-04 Classical Control Overview - III58:04
- Mod-02 Lec-05 Classical Control Overview -- IV58:09
- Mod-03 Lec-06 Basic Principles of Atmospheric Flight Mechanics57:18
- Mod-03 Lec-07 Overview of Flight Dynamics - I59:52
- Mod-03 Lec-08 Overview of Flight Dynamics -- II58:52
- Mod-04 Lec-09 Representation of Dynamical Systems -- I58:36
- Mod-04 Lec-10 Representation of Dynamical Systems -- II54:22
- Mod-04 Lec-11 Representation of Dynamical Systems -- III53:56
- Mod-05 Lec-12 Review of Matrix Theory - I57:16
- Mod-05 Lec-13 Review of Matrix Theory - II56:44
- Mod-05 Lec-14 Review of Matrix Theory - III57:07
- Mod-06 Lec-15 Review of Numerical Methods58:43
- Mod-07 Lec-16 Linearization of Nonlinear Systems59:04
- Mod-08 Lec-17 First and Second Order Linear Differential Equations57:19
- Mod-08 Lec-18 Time Response of Linear Dynamical Systems58:38
- Mod-08 Lec-19 Stability of Linear Time Invariant Systems58:32
- Mod-08 Lec-20 Controllability and Observability of linear Time Invariant Systems55:46
- Mod-09 Lec-21 Pole Placement Control Design58:22
- Mod-09 Lec-22 Pole Placement Observer Design55:58
- Mod-10 Lec-23 Static Optimization: An Overview57:10
- Mod-11 Lec-24 Calculus of Variations: An Overview51:55
- Mod-11 Lec-25 Optimal Control Formulation using Calculus of Variations59:20
- Mod-11 Lec-26 Classical Numerical Methods for Optimal Control59:05
- Mod-11 Lec-27 Linear Quadratic Regulator (LQR) Design - 152:02
- Mod-11 Lec-28 Linear Quadratic Regulator (LQR) Design - 241:09
- Mod-12 Lec-29 Linear Control Design Techniques in Aircraft Control--I59:02
- Mod-12 Lec-30 Linear Control Design Techniques in Aircraft Control -- I58:15
- Mod-13 Lec-31 Lyapunov Theory -- I59:26
- Mod-13 Lec-32 Lyapunov Theory -- II58:01
- Mod-13 Lec-33 Constructions of Lyapunov Functions59:42
- Mod-14 Lec-34 Dynamic Inversion -- I59:52
- Mod-14 Lec-35 Dynamic Inversion -- II01:00:25
- Mod-14 Lec-36 Neuro-Adaptive Design -- I59:59
- Mod-14 Lec-37 Neuro-Adaptive Design -- II01:00:16
- Mod-14 Lec-38 Neuro-Adaptive Design for Flight Control59:29
- Mod-15 Lec-39 Integrator Back-Stepping; Linear Quadratic (lQ) Observer58:36
- Mod-15 Lec-40 An Overview of Kalman Filter Theory01:00:17
