Optimal Control, Guidance and Estimation
IISc Bangalore, , Prof. Radhakant Padhi
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Updated On 02 Feb, 19
Introduction and Review of Basic Concepts : Introduction, Motivation and Overview - Overview of SS Approach and Matrix Theory - Review of Numerical Methods - Static Optimization : An Overview of Static Optimization - Optimal Control through Calculus of Variation :Review of Calculus of Variations - Optimal Control Formulation Using Calculus of Variations - Classical Numerical Methods to Solve Optimal Control Problems - Linear Quadratic Regulator (LQR) Theory - Discrete-time Optimal Control - Overview of Flight Dynamics - Optimal Missile Guidance : Linear Optimal Missile Guidance using LQR - State Dependent Riccati Equation and D Designs - Dynamic Programming and Adaptive Critic Design : Dynamic Programming - Approximate Dynamic Programming (ADP), Adaptive Critic (AC) and Single - Network Adaptive Critic (SNAC) Design
Advanced Numerical Techniques for Optimal Control : Transcription Method to Solve Optimal Control Problems - Model Predictive Static Programming (MPSP) and Optimal Guidance of Aerospace Vehicles - MPSP for Optimal Missile Guidance - Model Predictive Spread Control (MPSC) and Generalized MPSP (G-MPSP) Designs - LQ Observer and Kalman Filter Design : Linear Quadratic Observer & An Overview of State Estimation - Review of Probability Theory and Random Variables - Kalman Filter Design - Integrated Estimation, Guidance and Control - Linear Quadratic Guassian Design : LQG Design; Neighboring Optimal Control& Sufficiency Condition - Constrained Optimal Control - Optimal Control of Distributed Parameter System - Review and Summary : Take Home Material: Summary
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Optimal Control, Guidance and Estimation by Dr. Radhakant Padhi, Department of Aerospace Engineering, IISc Bangalore. For more details on NPTEL visit httpnptel.iitm.ac.in
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
March 29, 2019
Great course. Thank you very much.