Aerospace - Optimal Control, Guidance and Estimation (English)

   Thursday, March 27, 2025   

Starting a new Lecture Notes Series on Aerospace - Optimal Control, Guidance and Estimation

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Lecture 1: Mod-01 Lec-01 Introduction, Motivation and Overview

Lecture 2: Mod-01 Lec-02 Overview of SS Approach and Matrix Theory

Lecture 3: Mod-01 Lec-03 Review of Numerical Methods

Lecture 4: Mod-02 Lec-04 An Overview of Static Optimization -- I

Lecture 5: Mod-02 Lec-05 An Overview of Static Optimization -- II

Lecture 6: Mod-03 Lec-06 Review of Calculus of Variations -- I

Lecture 7: Mod-03 Lec-07 Review of Calculus of Variations -- II

Lecture 8: Mod-03 Lec-08 Optimal Control Formulation Using Calculus of Variations

Lecture 9: Mod-04 Lec-09 Classical Numerical Methods to Solve Optimal Control Problems

Lecture 10: Mod-05 Lec-10 Linear Quadratic Regulator (LQR) -- I

Lecture 11: Mod-05 Lec-11 Linear Quadratic Regulator (LQR) -- II

Lecture 12: Mod-05 Lec-12 Linear Quadratic Regulator (LQR) -- III

Lecture 13: Mod-05 Lec-13 Linear Quadratic Regulator (LQR) -- III

Lecture 14: Mod-06 Lec-14 Discrete-time Optimal Control

Lecture 15: Mod-07 Lec-15 Overview of Flight Dynamics -- I

Lecture 16: Mod-07 Lec-16 Overview of Flight Dynamics -- II

Lecture 17: Mod-07 Lec-17 Overview of Flight Dynamics -- III

Lecture 18: Mod-08 Lec-18 Linear Optimal Missile Guidance using LQR

Lecture 19: Mod-09 Lec-19 SDRE and θ -- D Designs

Lecture 20: Mod-10 Lec-20 Dynamic Programming

Lecture 21: Mod-10 Lec-21 Approximate Dynamic Progr (ADP),Adaptive Critic (AC)

Lecture 22: Mod-11 Lec-22 Transcription Method to Solve Optimal Control Problems

Lecture 23: Mod-11 Lec-23 Model Predictive Static Programming (MPSP) and Optimal Guidance of Aerospace Vehicles

Lecture 24: Mod-11 Lec-24 MPSP for Optimal Missile Guidance

Lecture 25: Mod-11 Lec-25 Model Predictive Spread Control (MPSC) and Generalized MPSP (G-MPSP) Designs

Lecture 26: Mod-12 Lec-26 Linear Quadratic Observer & An Overview of State Estimation

Lecture 27: Mod-12 Lec-27 Review of Probability Theory and Random Variables

Lecture 28: Mod-12 Lec-28 Kalman Filter Design -- I

Lecture 29: Mod-12 Lec-29 Kalman Filter Design -- II

Lecture 30: Mod-12 Lec-30 Kalman Filter Design -- III

Lecture 31: Mod-13 Lec-31 Integrated Estimation, Guidance & Control -- I

Lecture 32: Mod-13 Lec-32 Integrated Estimation, Guidance & Control -- II

Lecture 33: Mod-14 Lec-33 LQG Design; Neighboring Optimal Control & Sufficiency Condition

Lecture 34: Mod-15 Lec-34 Constrained Optimal Control -- I

Lecture 35: Mod-15 Lec-35 Constrained Optimal Control -- II

Lecture 36: Mod-15 Lec-36 Constrained Optimal Control -- III

Lecture 37: Mod-16 Lec-37 Optimal Control of Distributed Parameter Systems -- I

Lecture 38: Mod-16 Lec-38 Optimal Control of Distributed Parameter Systems -- II

Lecture 39: Mod-17 Lec-39 Take Home Material: Summary -- I

Lecture 40: Mod-17 Lec-40 Take Home Material: Summary -- I