Learn · Optimal Control, Guidance and Estimation
Lecture 21 of 40Dynamic Programming and Adaptive Critic Design
Approximate Dynamic Programming (ADP), Adaptive Critic (AC) and Single Network Adaptive Critic (SNAC) Design
Dr. Radhakant Padhi · IISc Bangalore
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- Optimal Control, Guidance and Estimation, IISc Bangalore (at NPTEL)
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All the lectures
- Introduction, Motivation and Overview
- Overview of SS Approach and Matrix Theory
- Review of Numerical Methods
- An Overview of Static Optimization – I
- An Overview of Static Optimization – II
- Review of Calculus of Variations – I
- Review of Calculus of Variations – II
- Optimal Control Formulation Using Calculus of Variations
- Classical Numerical Methods to Solve Optimal Control Problems
- Linear Quadratic Regulator (LQR) – I
- Linear Quadratic Regulator (LQR) – II
- Linear Quadratic Regulator (LQR) – III
- Linear Quadratic Regulator (LQR) – III
- Discrete-time Optimal Control
- Overview of Flight Dynamics – I
- Overview of Flight Dynamics – II
- Overview of Flight Dynamics – III
- Linear Optimal Missile Guidance using LQR
- SDRE and θ - D Designs
- Dynamic Programming
- Approximate Dynamic Programming (ADP), Adaptive Critic (AC) and Single Network Adaptive Critic (SNAC) Design
- 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
- Linear Quadratic Observer & An Overview of State Estimation
- Review of Probability Theory and Random Variables
- Kalman Filter Design – I
- Kalman Filter Design – II
- Kalman Filter Design – III
- Integrated Estimation, Guidance & Control – I
- Integrated Estimation, Guidance & Control – II
- LQG Design; Neighboring Optimal Control & Sufficiency Condition
- Constrained Optimal Control – I
- Constrained Optimal Control – II
- Constrained Optimal Control – III
- Optimal Control of Distributed Parameter Systems – I
- Optimal Control of Distributed Parameter Systems – II
- Take Home Material: Summary – I
- Take Home Material: Summary – II