Optimal Control, Guidance and Estimation


Lecture 1 - Introduction, Motivation and Overview


Lecture 2 - Overview of SS Approach and Matrix Theory


Lecture 3 - Review of Numerical Methods


Lecture 4 - An Overview of Static Optimization - I


Lecture 5 - An Overview of Static Optimization - II


Lecture 6 - Review of Calculus of Variations - I


Lecture 7 - Review of Calculus of Variations - II


Lecture 8 - Optimal Control Formulation Using Calculus of Variations


Lecture 9 - Classical Numerical Methods to Solve Optimal Control Problems


Lecture 10 - Linear Quadratic Regulator (LQR) - I


Lecture 11 - Linear Quadratic Regulator (LQR) - II


Lecture 12 - Linear Quadratic Regulator (LQR) - III


Lecture 13 - Linear Quadratic Regulator (LQR) - III


Lecture 14 - Discrete-time Optimal Control


Lecture 15 - Overview of Flight Dynamics - I


Lecture 16 - Overview of Flight Dynamics - II


Lecture 17 - Overview of Flight Dynamics - III


Lecture 18 - Linear Optimal Missile Guidance using LQR


Lecture 19 - SDRE and θ - D Designs


Lecture 20 - Dynamic Programming


Lecture 21 - Approximate Dynamic Programming (ADP), Adaptive Critic (AC) and Single Network Adaptive Critic (SNAC) Design


Lecture 22 - Transcription Method to Solve Optimal Control Problems


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


Lecture 24 - MPSP for Optimal Missile Guidance


Lecture 25 - Model Predictive Spread Control (MPSC) and Generalized MPSP (G-MPSP) Designs


Lecture 26 - Linear Quadratic Observer & An Overview of State Estimation


Lecture 27 - Review of Probability Theory and Random Variables


Lecture 28 - Kalman Filter Design - I


Lecture 29 - Kalman Filter Design - II


Lecture 30 - Kalman Filter Design - III


Lecture 31 - Integrated Estimation, Guidance & Control - I


Lecture 32 - Integrated Estimation, Guidance & Control - II


Lecture 33 - LQG Design; Neighboring Optimal Control & Sufficiency Condition


Lecture 34 - Constrained Optimal Control - I


Lecture 35 - Constrained Optimal Control - II


Lecture 36 - Constrained Optimal Control - III


Lecture 37 - Optimal Control of Distributed Parameter Systems - I


Lecture 38 - Optimal Control of Distributed Parameter Systems - II


Lecture 39 - Take Home Material: Summary - I


Lecture 40 - Take Home Material: Summary - II