Control-Theory

As an automation engineer, I have on my engineering curriculum different Control Theory classes that enhance my knowledge about control systems and design. This repository uses Scilab as a tool to analyze, design and apply the control theory and response of dynamical systems.

Bibliography

• [1] Katsuhiko Ogata (2010) Modern Control Engineering. 5th ed. Upper Saddle River, NJ: Prentice Hall. ISBN: 0136156738, 9780136156734

• [2] Norman S. Nise (2010) Control Systems Engineering . 6th ed. Wiley; Binder Ready Version. ISBN: 0470917695, 978-0470917695

• [3] Kirk, D.E. (1998), Optimal Control Theory, USA:Prentice Hall. ISBN: 978-0486434841

• [4] Ogata, Katsuhiko. Discrete-time control system 2nd ed. Prentice-Hall. ISBN: 978-0130342812

Intro to Control Theory (IntroCT)

1. Intro to Control systems
2. Mathematical modelling
3. Frequency domain versus time domain
4. Time response: Transient and steady state response
5. Stability
6. Steady state error
7. Root Locus Method
8. Frequency response - Bode plot

Classic Control Theory (Classic_CT)

• Root Locus Method

1. Lead compensation
2. Lag compensation
3. Lag-lead compensation

• Frequency Response Approach

4. Lead compensation
5. Lag compensation
6. Lag-lead compensation

Modern Control Theory (Modern_CT)

1. State space representation
2. Solving the Time Invariant State Equation
3. Pole placement
4. Controllability
5. Regulator system design
6. Design of Servo Systems
7. Observability
8. Observer design

Discrete time Control systems (Discrete_CT)

1. The z Transform
2. The Inverse z Transform
3. z Transform method for solving difference equations

Optimal Control Theory (Optimal_CT)

1. The Theory of Optimal Control
2. Linear-quadratic-Gaussian control: Riccati equations
3. Optimal control in linear systems using quadratic criteria