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Advanced Linear Continuous Control Systems the complete guide

  • Course level: Intermediate

Description

https://youtu.be/iHZqtzjJFJc

Advanced Linear Continuous Control Systems.

Today, there is an utmost need to understand advanced control engineering on account of its multidisciplinary applications in various areas of engineering.

The course on advanced linear control system design introduces the basic concepts, applications, and knowledge through Matlab programming and Simulink. This course is a core course for PG scholars and an elective course for UG. In this course, a different methodology of modeling in state space, state transition matrix, and solution in state equation shall be studied.

Moreover, the concept of controller design, observer design (Full order and minimum order), and optimal pole placement design through LQR and LQG will be considered. The theory will be supported by a variety of numerical examples and practical models.

Software programs in MATLAB environment and Simulink will be studied for a better understanding of the advanced linear control techniques for continuous systems.

 

Advanced Linear Continuous Control Systems INTENDED AUDIENCE: BE/B.Tech and ME/M.Tech

What Will I Learn?

  • Learn the Advanced topic in Linear Continuous Control Systems

Topics for this course

39 Lessons

Advanced Linear Continuous Control Systems

Advanced Linear Continuous Control Systems00:00:00
Introduction to State Space00:00:00
State Space Representation00:00:00
State Space Representation: Companion Form (Controllable Canonical Form)00:00:00
State Space Representation: Extended Controllable Canonical Form00:00:00
State Space Representation: Observable Canonical Form00:00:00
State Space Representation: Diagonal Canonical Form (Part-I)00:00:00
State Space Representation: Diagonal Canonical Form (Part-II)00:00:00
State Space Representation: Jordan Canonical Form00:00:00
State Space Representation: Numerical Examples on State space Modelling (Part-I)00:00:00
State Space Representation: Numerical Examples on State space Modelling (Part-II)00:00:00
Modelling of Mechanical Systems in State Space00:00:00
Modelling of DC Servo Motor (Part-I)00:00:00
Modelling of DC Servo Motor (Part-II)00:00:00
Determination of Transfer Function from State Space Model (Part-I)00:00:00
Determination of Transfer Function from State Space Model (Part-II)00:00:00
Stability Analysis in State Space: Concept of Eigenvalues and Eigenvectors (Part-I)00:00:00
Stability Analysis in State Space (Part-II)00:00:00
Stability Analysis in State Space: Lyapunov Stability Analysis (Sylvester’s Criterion) Part-III00:00:00
Stability Analysis in State Space: Lyapunov Stability Analysis (Direct Method) Part-V00:00:00
Stability Analysis in State Space: Lyapunov Stability Analysis (Stability Criterion) Part-IV00:00:00
Concept of Diagonalization00:00:00
Solution of State Equation00:00:00
Solution of State Equation (Forced System)00:00:00
Steady State Error for State Space System00:00:00
State Transition Matrix (Part-I)00:00:00
State Transition Matrix (Part-II)00:00:00
State Transition Matrix using Cayley-Hamilton Theorem (Part-III)00:00:00
Controllability in State Space (Part-I)00:00:00
Controllability in State Space (Part-II)00:00:00
State Observer Design (Part-I)00:00:00
State Observer Design (Part-II)00:00:00
State Observer Design (Part-III)00:00:00
Tracking Problem in State Feedback Design (Part-I)00:00:00
Tracking Problem in State Feedback Design (Part-II)00:00:00
Pole Placement by State Feedback (Part-I)00:00:00
Pole Placement by State Feedback (Part-II)00:00:00
Observability in State Space (Part-I)00:00:00
Observability in State Space (Part-II)00:00:00
Linear Continuous Control Systems
Free

Enrolment validity: Lifetime