Advanced Concepts in Optimal Control and System Dynamics
Master the Art of Optimal Control: Unlock Efficiency and Precision!
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368 learners
What you'll learn
Understand the foundational concepts of state-space approaches and matrix theory
Apply numerical methods to solve optimal control problems
Implement Linear Quadratic Regulator (LQR) techniques for control system design
Analyze and design Kalman filters for state estimation
This course includes
38.5 hours of video
Certificate of completion
Access on mobile and TV
Course content
1 modules
• 40 lessons
• 38.5 hours of video
Advanced Concepts in Optimal Control and System Dynamics
40 lessons
• 38.5 hours
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Mod-01 Lec-01 Introduction, Motivation and Overview58:51
Mod-01 Lec-02 Overview of SS Approach and Matrix Theory58:04
Mod-01 Lec-03 Review of Numerical Methods58:44
Mod-02 Lec-04 An Overview of Static Optimization -- I56:14
Mod-02 Lec-05 An Overview of Static Optimization -- II58:56
Mod-03 Lec-06 Review of Calculus of Variations -- I59:01
Mod-03 Lec-07 Review of Calculus of Variations -- II59:39
Mod-03 Lec-08 Optimal Control Formulation Using Calculus of Variations01:00:23
Mod-04 Lec-09 Classical Numerical Methods to Solve Optimal Control Problems57:01
Mod-05 Lec-10 Linear Quadratic Regulator (LQR) -- I52:58
Mod-05 Lec-11 Linear Quadratic Regulator (LQR) -- II56:27
Mod-05 Lec-12 Linear Quadratic Regulator (LQR) -- III59:29
Mod-05 Lec-13 Linear Quadratic Regulator (LQR) -- III55:34
Mod-06 Lec-14 Discrete-time Optimal Control55:28
Mod-07 Lec-15 Overview of Flight Dynamics -- I54:33
Mod-07 Lec-16 Overview of Flight Dynamics -- II59:51
Mod-07 Lec-17 Overview of Flight Dynamics -- III58:52
Mod-08 Lec-18 Linear Optimal Missile Guidance using LQR01:02:05
