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Advanced Control System Design for Aerospace Vehicles

Advanced Control System Design for Aerospace Vehicles. Instructor: Prof. Radhakant Padhi, Department of Aerospace Engineering, IISc Bangalore. In this course concepts and techniques of linear and nonlinear control system analysis and synthesis will be studied in the modern control (state space) framework. It will have preferential bias towards aerospace applications, especially towards guidance and control of aircrafts and missiles. However, the theory as well as many demonstrative examples will be quite generic and hence this course is expected to be useful to the students from many other engineering disciplines as well. (from nptel.ac.in)

Lecture 22 - Pole Placement Observer Design


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Introduction and Motivation
Lecture 01 - Introduction and Motivation for Advanced Control Design
Review of Classical Control
Lecture 02 - Classical Control Overview I
Lecture 03 - Classical Control Overview II
Lecture 04 - Classical Control Overview III
Lecture 05 - Classical Control Overview IV
Flight Dynamics
Lecture 06 - Basic Principles of Atmospheric Flight Mechanics
Lecture 07 - Overview of Flight Dynamics
Lecture 08 - Overview of Flight Dynamics (cont.)
Representation of Linear Systems
Lecture 09 - Representation of Dynamical Systems I
Lecture 10 - Representation of Dynamical Systems II
Lecture 11 - Representation of Dynamical Systems III
Review of Matrix Theory
Lecture 12 - Review of Matrix Theory I
Lecture 13 - Review of Matrix Theory II
Lecture 14 - Review of Matrix Theory III
Review of Numerical Methods
Lecture 15 - Review of Numerical Methods
Linearization of Nonlinear Systems
Lecture 16 - Linearization of Nonlinear Systems
Time Response, Stability, Controllability and Observability of Linear Systems
Lecture 17 - First and Second Order Linear Differential Equations
Lecture 18 - Time Response of Linear Dynamical Systems
Lecture 19 - Stability of Linear Time Invariant Systems
Lecture 20 - Controllability and Observability of Linear Time Invariant Systems
Pole Placement, Controller and Observer Design of Linear Systems
Lecture 21 - Pole Placement Control Design
Lecture 22 - Pole Placement Observer Design
Static Optimization
Lecture 23 - Static Optimization: An Overview
Optimal Control Design
Lecture 24 - Calculus of Variations: An Overview
Lecture 25 - Optimal Control Formulation using Calculus of Variations
Lecture 26 - Classical Numerical Methods for Optimal Control
Lecture 27 - Linear Quadratic Regulator (LQR) Design
Lecture 28 - Linear Quadratic Regulator (LQR) Design (cont.)
Linear Control Applications in Flight Control Design
Lecture 29 - Linear Control Design Techniques in Aircraft Control
Lecture 30 - Linear Control Design Techniques in Aircraft Control (cont.)
Nonlinear System Analysis using Lyapunov Theory
Lecture 31 - Lyapunov Theory
Lecture 32 - Lyapunov Theory (cont.)
Lecture 33 - Construction of Lyapunov Functions
Nonlinear Control Synthesis
Lecture 34 - Dynamic Inversion
Lecture 35 - Dynamic Inversion (cont.)
Lecture 36 - Neuro-Adaptive Design
Lecture 37 - Neuro-Adaptive Design (cont.)
Lecture 38 - Neuro-Adaptive Design for Flight Control
Nonlinear Observer and Kalman Filter Design
Lecture 39 - Integrator Backstepping; Linear Quadratic (LQ) Observer
Lecture 40 - An Overview of Kalman Filter Theory