Advanced Linear Continuous Control Systems: Applications with MATLAB Programming and Simulink

Course Duration : 8 weeks

PROF. YOGESH VIJAY HOTE

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What you will learn

  • Electrical and Electronics Engineering

Today, there is an utmost need to understand advanced control engineering on account of its multidisplinary applications in various areas of engineering. The course on advanced linear control system design introduces the fundamental concepts, applications and understanding through Matlab programming and Simulink. This course is a core course for PG student and an elective course for UG. In this course, various methodology of modeling in state space, state transition matrix, and solution in state equation shall be studied. Further, the concept of controller design, observer design (Full order and minimum order), and optimal pole placement design through LQR and LQG will be discussed. The theory will be supported by a variety of numerical examples and practical examples. Software programs in MATLAB environment and Simulink will be studied for the better understanding of the advanced linear control techniques for continuous systems.

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State Space Representation: Diagonal Canonical Form (Part-I)
Preview 23:53
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State Space Representation: Diagonal Canonical Form (Part-II)
Preview 22:43
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State Space Representation: Jordan Canonical Form
Preview 29:06
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State Space Representation: Numerical Examples on State space Modelling (Part-I)
Preview 28:51
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State Space Representation: Numerical Examples on State space Modelling (Part-II)
Preview 38:26

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Modelling of Mechanical Systems in State Space
Preview 34:40
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Modelling of DC Servo Motor (Part-I)
Preview 39:01
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Modelling of DC Servo Motor (Part-II)
Preview 20:23
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Determination of Transfer Function from State Space Model (Part-I)
Preview 45:06
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Determination of Transfer Function from State Space Model (Part-II)
Preview 15:24

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Stability Analysis in State Space: Concept of Eigenvalues and Eigenvectors (Part-I)
Preview 34:31
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Stability Analysis in State Space (Part-II)
Preview 34:31
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Stability Analysis in State Space: Lyapunov Stability Analysis (Sylvester's Criterion) Part-III
Preview 36:03
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Stability Analysis in State Space: Lyapunov Stability Analysis (Stability Criterion) Part-IV
Preview 27:42
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Stability Analysis in State Space: Lyapunov Stability Analysis (Direct Method) Part-V
Preview 28:48

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Concept of Diagonalization
Preview 24:18
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Solution of State Equation
Preview 25:51
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Solution of State Equation (Forced System)
Preview 34:07
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Steady State Error for State Space System
Preview 32:11
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State Transition Matrix (Part-I)
Preview 32:51

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State Transition Matrix (Part-II)
Preview 25:12
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State Transition Matrix using Cayley-Hamilton Theorem (Part-III)
Preview 41:06
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MATLAB Programming with State Space
Preview 39:05
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Controllability in State Space (Part-I)
Preview 29:48
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Controllability in State Space (Part-II)
Preview 33:35

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Observability in State Space (Part-I)
Preview 39:30
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Observability in State Space (Part-II)
Preview 22:49
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Pole Placement by State Feedback (Part-I)
Preview 34:04
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Pole Placement by State Feedback (Part-II)
Preview 46:16
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Pole Placement by State Feedback (Part-III)
Preview 32:08

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Tracking Problem in State Feedback Design (Part-I)
Preview 30:09
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Tracking Problem in State Feedback Design (Part-II)
Preview 31:24
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State Observer Design (Part-I)
Preview 42:14
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State Observer Design (Part-II)
Preview 31:42
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State Observer Design (Part-III)
Preview 38:12
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Meet Your Instructor
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  • Course Duration
    20 h 53 m 53 s
  • Course Level
    Intermediate
  • Student Enrolled
    0
  • Language
    English
This Course Includes
  • 20 h 53 m 53 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
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  • Certificate of Completion