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Optimal Control, Guidance, and Estimation. Instructor: Prof. Radhakant Padhi, Department of Aerospace Engineering, IISc Bangalore.

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Description

In this course concepts and techniques of optimal guidance, control and state estimation will be studied for aerospace vehicles (especially for aircrafts, launch vehicles and missiles), both in linear and nonlinear systems theory framework. However, the theory as well as some demonstrative examples will be quite generic and hence this course is expected to be useful to the students from other engineering disciplines as well. (from nptel.ac.in)

Course content

    • Lecture 01 – Introduction, Motivation and Overview Unlimited
    • Lecture 02 – Overview of SS Approach and Matrix Theory Unlimited
    • Lecture 03 – Review of Numerical Methods Unlimited
    • Lecture 04 – An Overview of Static Optimization Unlimited
    • Lecture 05 – An Overview of Static Optimization (cont.) Unlimited
    • Lecture 06 – Review of Calculus of Variations Unlimited
    • Lecture 07 – Review of Calculus of Variations (cont.) Unlimited
    • Lecture 08 – Optimal Control Formulation using Calculus of Variations Unlimited
    • Lecture 09 – Classical Numerical Methods to Solve Optimal Control Problems Unlimited
    • Lecture 10 – Linear Quadratic Regulator I Unlimited
    • Lecture 11 – Linear Quadratic Regulator II Unlimited
    • Lecture 12 – Linear Quadratic Regulator III Unlimited
    • Lecture 13 – Linear Quadratic Regulator IV Unlimited
    • Lecture 14 – Discrete Time Optimal Control Unlimited
    • Lecture 15 – Overview of Flight Dynamics I Unlimited
    • Lecture 16 – Overview of Flight Dynamics II Unlimited
    • Lecture 17 – Overview of Flight Dynamics III Unlimited
    • Lecture 18 – Linear Optimal Missile Guidance using LQR Unlimited
    • Lecture 19 – SDRE and θ-D Designs Unlimited
    • Lecture 20 – Dynamic Programming Unlimited
    • Lecture 21 – Approximate Dynamic Programming, Adaptive Critic and Single Network … Unlimited
    • Lecture 22 – Transcription Method to Solve Optimal Control Problems Unlimited
    • Lecture 23 – Model Predictive Static Programming and Optimal Guidance of Aerospace Vehicles Unlimited
    • Lecture 24 – Model Predictive Static Programming for Optimal Missile Guidance Unlimited
    • Lecture 25 – Model Predictive Spread Control and Generalized MPSR (G-MPSP) Designs Unlimited
    • Lecture 26 – Linear Quadratic Observer and an Overview of State Estimation Unlimited
    • Lecture 27 – Review of Probability Theory and Random Variables Unlimited
    • Lecture 28 – Kalman Filter Design I Unlimited
    • Lecture 29 – Kalman Filter Design II Unlimited
    • Lecture 30 – Kalman Filter Design III Unlimited
    • Lecture 31 – Integrated Estimation, Guidance and Control Unlimited
    • Lecture 32 – Integrated Estimation, Guidance and Control (cont.) Unlimited
    • Lecture 33 – LQG Design; Neighboring Optimal Controls and Sufficiency Condition Unlimited
    • Lecture 34 – Constrained Optimal Control I Unlimited
    • Lecture 35 – Constrained Optimal Control II Unlimited
    • Lecture 36 – Constrained Optimal Control III Unlimited
    • Lecture 37 – Optimal Control of Distributed Parameter Systems Unlimited
    • Lecture 38 – Optimal Control of Distributed Parameter Systems (cont.) Unlimited
    • Lecture 39 – Take Home Material: Summary Unlimited
    • Lecture 40 – Take Home Material: Summary (cont.) Unlimited

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