ISS0023_introduction_2013x - Alpha Control Lab

cathamAI and Robotics

Oct 23, 2013 (4 years and 20 days ago)

72 views

Eduard
Petlenkov
,

Associate

Professor,

TUT
Department

of

Computer

Control

eduard.petlenkov@dcc.ttu.ee


How study work is organized
?




Content
/
plan by weeks




Exam / evaluation criteria

Groups
: IASM12, MAHM31


Lectures

+
practices


Lecturs
: II
-
3
09


Practicec
:
laboratories

II
-
303,304




(
max
. 25
persons
)

Time:


Exam

is

practical



in

the

laboratory
.

First

possibility

to

take

the

exam

is

16th
study

week


http://
www.a
-
lab.ee/edu

http://
www.a
-
lab.ee/edu/ISS0023


W
eek
1


I
ntroductory

lecture,





Week
2


Lecture
: I
ntroduction

to adaptive
systems




Week
3


practice

II
-
303/304
MATLAB/SImulink


group A
14:00

/
group

B
16:00




Week

4


Lecture


etc…







Weeks

4


1
0


Artificial

Neural

Networks


Structures of artificial neural networks and training
algorithms
;


Artificial neural networks based identification of
nonlinear systems;


Artificial neural networks based control of nonlinear
systems;


Artificial
neural networks based image recognition
and pattern
classification
;


Self
-
organizing systems
;


Lecture

weeks

nr. 4, 6

and

8


Practice

weeks

nr.
5, 7, 9, 11.

group

A/
group

B


Other topics to be covered



Introduction

to

Fuzzy

systems

and
genetic

algorithms
,
combined

approach
;

Dynamic
feedback linearization based control

of
nonlinear systems
;

Fractional order
modelling

and control

(see
http://fomcon.net/
)



Week

nr.
16
-

exam


Exam prerequisites:


Course ISS0023 is declared

(
included into Your
semester
plan
)
,


Laboratory trainings are performed,


Reports are presented and accepted



Exam

-

up to 72 hours


Small practical project


design of a control system
according to given control criteria;


Simulation of the control system;


Analysis of results and writing a report.