Learn · Advanced Linear Continuous Control Systems: Applications with MATLAB Programming and Simulink
Lecture 6 of 40Week 2
State Space Representation: Diagonal Canonical Form (Part-I)
Prof. Yogesh Vijay Hote · IIT Roorkee
Credits and licence
- From
- Advanced Linear Continuous Control Systems: Applications with MATLAB Programming and Simulink, IIT Roorkee (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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- Tweens profiles and older. How courses are placed
All the lectures
- Introduction to State Space
- State Space Representation
- State Space Representation: Companion Form (Controllable Canonical Form)
- State Space Representation: Extended Controllable Canonical Form
- State Space Representation: Observable Canonical Form
- State Space Representation: Diagonal Canonical Form (Part-I)
- State Space Representation: Diagonal Canonical Form (Part-II)
- State Space Representation: Jordan Canonical Form
- State Space Representation: Numerical Examples on State space Modelling (Part-I)
- State Space Representation: Numerical Examples on State space Modelling (Part-II)
- Modelling of Mechanical Systems in State Space
- Modelling of DC Servo Motor (Part-I)
- Modelling of DC Servo Motor (Part-II)
- Determination of Transfer Function from State Space Model (Part-I)
- Determination of Transfer Function from State Space Model (Part-II)
- Stability Analysis in State Space: Concept of Eigenvalues and Eigenvectors (Part-I)
- Stability Analysis in State Space (Part-II)
- Stability Analysis in State Space: Lyapunov Stability Analysis (Sylvester’s Criterion) Part-III
- Stability Analysis in State Space: Lyapunov Stability Analysis (Stability Criterion) Part-IV
- Stability Analysis in State Space: Lyapunov Stability Analysis (Direct Method) Part-V
- Concept of Diagonalization
- Solution of State Equation
- Solution of State Equation (Forced System)
- Steady State Error for State Space System
- State Transition Matrix (Part-I)
- State Transition Matrix (Part-II)
- State Transition Matrix using Cayley-Hamilton Theorem (Part-III)
- MATLAB Programming with State Space
- Controllability in State Space (Part-I)
- Controllability in State Space (Part-II)
- Observability in State Space (Part-I)
- Observability in State Space (Part-II)
- Pole Placement by State Feedback (Part-I)
- Pole Placement by State Feedback (Part-II)
- Pole Placement by State Feedback (Part-III)
- Tracking Problem in State Feedback Design (Part-I)
- Tracking Problem in State Feedback Design (Part-II)
- State Observer Design (Part-I)
- State Observer Design (Part-II)
- State Observer Design (Part-III)