Course detail

# Discrete Processes in Electrical Engineering

FEKT-DPA-MA2Acad. year: 2022/2023

The discipline is devoted to description of processes via discrete equations. It consists of three parts:

a) basic calculus and basic methods of analysis of discrete processes,

b) application of difference equations, investigation of stability processes,

c) application of difference equations in control of processes.

The plan of discipline is described in the point "Syllabus" in detail. The discipline is recommended for Ph.D. programme students, who will apply discrete and difference relations, equations and numerical algorithms also. As illustration we point to mathematical modelling of phenomena in nanotechnologies, control theory and signal processing.

Language of instruction

Number of ECTS credits

Mode of study

Guarantor

Department

Offered to foreign students

Learning outcomes of the course unit

1) Ability to solve basic classes of difference equations of the first order.

2) Usage of difference equations of first order to solution of equations describing various phenomena modeled by difference equations of the first order. Transformation of differential equations to discrete equations, modeling electrical circuits by difference equations.

3) Finding of equilibria points of scalar equations, determination stability and other properties of solutions in the vicinity of equilibria.

4) Construction of cob-web diagrams for inverstigation of stability of equailibrium points.

5) Determination of stability of numerical algorithms using equilibrium points.

6) Application of basic formulae of discrete calculus.

7) Solution of homogeneous and non-homogeneous linear discrete equations of higher-order.

8) Construction of solutions of systems homogeneous and non-homogeneous difference equations of the first order.

9) Solution of linear homogeneous system of difference equations by Putzer algorithm. Finding of a particular solution.

10) Determination of stability and non-stability of nonlinear and linear discrete systems by method of a fundamental matrix and by Lyapunov method.

11) Application of Z-transform to solution of linear difference equations of higher-order and to solution of linear difference systems.

12) Detection of controllability and observability of linear discrete systems.

Prerequisites

Co-requisites

Planned learning activities and teaching methods

Assesment methods and criteria linked to learning outcomes

as follows: 0- points is minimum, 70 points is maximum.

Course curriculum

2. Discrete calculus (some difference relations based on corresponding continuous relations). Difference equations and systems.

3. Basic notions used in difference equations (equilibrium points, periodic points, eventually equilibrium points and eventually periodic points, stability of solution, repelling and attracting points) and their illustration on examples (modelling of circuits with the aid of difference equations, the transmission of information).

4. Recursive algorithms of solutions of systems of discrete equations and equations of higher order (the case of constant coefficients, the method of variation of parameters, the method of variation of constants).

5. Construction of the general solution. Transformation of some nonlinear equations into linear equations. Difference equations modelled with the aid of sampling, impulses inputs, computation of characteristic from the signal response (response of Dirac distribution), transmission effects.

6. Application of difference equations – stability of processes. Stability of equilibrium points. Kinds of stabily and instability.

7. Stability of linear systems with the variable matrix. Stability of nonlinear systems via linearization.

8. Ljapunov direct method of stability.

9. Phase analysis of two-dimensional linear discrete system with constant matrix, classification of equilibrium points.

10. Application of difference equations - control of processes. Discrete equivalents of continuous systems.

11. Discrete control theory (the controllability, the complete controllability, matrix of controllability, the canonical forms of controllability, controllable canonical form, construction of the control algorithm).

12. Observability, complete observability, nonobservability, principle of duality, the observability matrix.

13. Canonical forms of observability, relation of controllability and observability. Stabilization of control by feedback.

Work placements

Aims

Specification of controlled education, way of implementation and compensation for absences

Recommended optional programme components

Prerequisites and corequisites

Basic literature

Oppenheim, Alan, V., Schaffer, Ronald, W., Discrete-Time Signal Processing, 3rd Edition, Pearson, 2014 (EN)

Diblík, J., Hlavičková, I., Discrete Processes in Electrical Engineering, electronic text, Brno, 2018 (CS)

Recommended reading

Classification of course in study plans

- Programme DPA-KAM Doctoral, any year of study, summer semester, compulsory-optional
- Programme DPA-EKT Doctoral, any year of study, summer semester, compulsory-optional
- Programme DPA-EIT Doctoral, any year of study, summer semester, compulsory-optional
- Programme DPAD-EIT Doctoral, any year of study, summer semester, compulsory-optional
- Programme DPA-MET Doctoral, any year of study, summer semester, compulsory-optional
- Programme DPA-SEE Doctoral, any year of study, summer semester, compulsory-optional
- Programme DPA-TLI Doctoral, any year of study, summer semester, compulsory-optional
- Programme DPA-TEE Doctoral, any year of study, summer semester, compulsory-optional

#### Type of course unit

Seminar

Teacher / Lecturer

Syllabus

(some difference relations based on corresponding continuous relations). Difference equations and systems. Basic notions used in difference equations (equilibrium points, periodic points, eventually equilibrium points and eventually periodic points, stability of solution, repelling and attracting points) and their illustration on examples (modelling of circuits with the aid of difference equations, the transmission of information). Recursive algorithms of solutions of systems of discrete equations and equations of higher order (the case of constant coefficients, the method of variation of parameters, the method of variation of constants). The computer construction of the general solution. Transformation of some nonlinear equations into linear equations. Difference equations modelled with the aid of sampling, impulses inputs, computation of characteristic from the signal response (response of Dirac distribution), transmission effects.

II. Application of difference equations – stability of processes (4 weeks).

Stability of equilibrium points. Kinds of stabily and instability. Stability of linear systems with the variable matrix. Stability of nonlinear systems via linearization. Ljapunov direct method of stability. Phase analysis of two-dimensional linear discrete system with constant matrix, classification of equilibrium points.

III. Application of difference equations - control of processes (4 weeks).

Discrete equivalents of continuous systems. Discrete control theory (the controllability, the complete controllability, matrix of controllability, the canonical forms of controllability, controllable canonical form, construction of the control algorithm). Observability (complete observability, nononservability, principle of duality, the observability matrix, canonical forms of observability, relation of controllability and observability). Stabilization of control by feedback.