Advanced Linear Continuous Control Systems the complete guide

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About Course

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

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What Will You Learn?

  • Learn the Advanced topic in Linear Continuous Control Systems

Course Content

Advanced Linear Continuous Control Systems

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

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