Advanced Control Systems: Theory and Design Techniques
Master Modern Control Systems: From Fundamentals to Advanced Flight Dynamics
5.0(29)
319 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
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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 - III58:03
Mod-02 Lec-05 Classical Control Overview -- IV58:09
Mod-03 Lec-06 Basic Principles of Atmospheric Flight Mechanics57:17
Mod-03 Lec-07 Overview of Flight Dynamics - I59:51
Mod-03 Lec-08 Overview of Flight Dynamics -- II58:51
Mod-04 Lec-09 Representation of Dynamical Systems -- I58:35
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 Systems59:03
Mod-08 Lec-17 First and Second Order Linear Differential Equations57:19
Mod-08 Lec-18 Time Response of Linear Dynamical Systems58:37
Mod-08 Lec-19 Stability of Linear Time Invariant Systems58:32
Mod-08 Lec-20 Controllability and Observability of linear Time Invariant Systems55:45
Mod-09 Lec-21 Pole Placement Control Design58:22
Mod-09 Lec-22 Pole Placement Observer Design55:57
Mod-10 Lec-23 Static Optimization: An Overview57:09
Mod-11 Lec-24 Calculus of Variations: An Overview51:54
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 - 152:01
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 Functions59:41
Mod-14 Lec-34 Dynamic Inversion -- I59:51
Mod-14 Lec-35 Dynamic Inversion -- II01:00:24
Mod-14 Lec-36 Neuro-Adaptive Design -- I59:58
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 Theory01:00:16
