Aerospace - Optimal Control, Guidance and Estimation
Master the Art of Optimal Control: Unlock Efficiency and Precision!
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3 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
Advanced Concepts in Optimal Control and System Dynamics
40 lessons
• 38.5 hours
- Mod-01 Lec-01 Introduction, Motivation and Overview 58:51
- Mod-01 Lec-02 Overview of SS Approach and Matrix Theory 58:05
- Mod-01 Lec-03 Review of Numerical Methods 58:45
- Mod-02 Lec-04 An Overview of Static Optimization -- I 56:14
- Mod-02 Lec-05 An Overview of Static Optimization -- II 58:57
- Mod-03 Lec-06 Review of Calculus of Variations -- I 59:02
- Mod-03 Lec-07 Review of Calculus of Variations -- II 59:40
- Mod-03 Lec-08 Optimal Control Formulation Using Calculus of Variations 01:00:24
- Mod-04 Lec-09 Classical Numerical Methods to Solve Optimal Control Problems 57:02
- Mod-05 Lec-10 Linear Quadratic Regulator (LQR) -- I 52:59
- Mod-05 Lec-11 Linear Quadratic Regulator (LQR) -- II 56:27
- Mod-05 Lec-12 Linear Quadratic Regulator (LQR) -- III 59:29
- Mod-05 Lec-13 Linear Quadratic Regulator (LQR) -- III 55:34
- Mod-06 Lec-14 Discrete-time Optimal Control 55:28
- Mod-07 Lec-15 Overview of Flight Dynamics -- I 54:33
- Mod-07 Lec-16 Overview of Flight Dynamics -- II 59:52
- Mod-07 Lec-17 Overview of Flight Dynamics -- III 58:53
- Mod-08 Lec-18 Linear Optimal Missile Guidance using LQR 01:02:05
- Mod-09 Lec-19 SDRE and θ -- D Designs 01:00:11
- Mod-10 Lec-20 Dynamic Programming 58:41
- Mod-10 Lec-21 Approximate Dynamic Progr (ADP),Adaptive Critic (AC) 01:00:06
- Mod-11 Lec-22 Transcription Method to Solve Optimal Control Problems 59:43
- Mod-11 Lec-23 Model Predictive Static Programming (MPSP) and Optimal Guidance of Aerospace Vehicles 01:00:14
- Mod-11 Lec-24 MPSP for Optimal Missile Guidance 01:01:39
- Mod-11 Lec-25 Model Predictive Spread Control (MPSC) and Generalized MPSP (G-MPSP) Designs 57:10
- Mod-12 Lec-26 Linear Quadratic Observer & An Overview of State Estimation 53:24
- Mod-12 Lec-27 Review of Probability Theory and Random Variables 57:35
- Mod-12 Lec-28 Kalman Filter Design -- I 53:14
- Mod-12 Lec-29 Kalman Filter Design -- II 49:58
- Mod-12 Lec-30 Kalman Filter Design -- III 59:47
- Mod-13 Lec-31 Integrated Estimation, Guidance & Control -- I 01:01:45
- Mod-13 Lec-32 Integrated Estimation, Guidance & Control -- II 01:00:06
- Mod-14 Lec-33 LQG Design; Neighboring Optimal Control & Sufficiency Condition 55:45
- Mod-15 Lec-34 Constrained Optimal Control -- I 58:15
- Mod-15 Lec-35 Constrained Optimal Control -- II 59:18
- Mod-15 Lec-36 Constrained Optimal Control -- III 55:23
- Mod-16 Lec-37 Optimal Control of Distributed Parameter Systems -- I 57:04
- Mod-16 Lec-38 Optimal Control of Distributed Parameter Systems -- II 54:24
- Mod-17 Lec-39 Take Home Material: Summary -- I 57:13
- Mod-17 Lec-40 Take Home Material: Summary -- I 01:02:11
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