LEARNING OUTCOMES OF THE COURSE UNIT
After passing the course, the student is able to:
- demonstrate and explain the difference between state space and input output description of the system
- explain the concept of causality, realizability, reachability, controlability, observability and reconstructability of the system
- identify and approximate basic types of dynamic systems and discretize the system
- apply the principles of block algebra and Mason’s gain rule for the evaluation of the system’s transfer function
- design the state observer and state feedback
COURSE CURRICULUM
1. Dynamic systems - definition and subdivision.
2. Different types of system description: input-output, transfer function, frequency response, polynomials.
3. Modeling of dynamical systems in MATLAB Simulink.
4. Stability of linear and nonlinear systems.
5. State space description, state equations, their solution.
6. Model realization: serial, parallel, direct programming. Canonical forms.
7. Controllability, reachability, observability, reconstruct-ability of systems.
8. Block algebra. Masons’s gain rule for transfer function computation.
9. State feedback controller.
10. State observers.
11. Methods of continuous time system discretization.
12. Stability of interval polynomials.
13. Reserve, review.
AIMS
The aim of the course is to introduce general system theory and its application to dynamic systems and systemic approach towards control tasks solution.
