Course10810711540 lectures
Advanced Linear Continuous Control Systems: Applications with MATLAB Programming and Simulink
Prof. Yogesh Vijay Hote · IIT Roorkee
About
Today, there is an utmost need to understand advanced control engineering on account of its multidisplinary applications in various areas of engineering. The main thrust in this course is on fundamentals of advanced linear continuous control system. In this course, various methodology of modelling in state space, state transition matrix and solution in state equation will be studied. Further, stability analysis issues in state space will be discussed. Finally, the concepts of controllability, observability, controller design, and observer design will also be discussed. The theory is supported by numerical examples, practical examples and Matlab programming
Important For Certification/Credit Transfer:
Intended audience: All Engineering Student/Faculty
Lectures
Week 1
- 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
Week 2
- 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)
Week 3
- 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)
Week 4
- 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
Week 5
- 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)
Week 6
- 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)
Week 7
- 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)
Week 8
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Roorkee
- Department
- Electrical Engineering
- Teacher
- Prof. Yogesh Vijay Hote
- Level
- Undergraduate
- Language
- English
- Subjects
- Engineering
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed