SVIBOR - Papers quoted in CC - project code: 2-08-171

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Papers quoted in Current Contents on project 2-08-171


Quoted papers: 7
Other papers: 80
Total: 87


Title: Control Synthesis and Simulation of Industrial Robot of RRTR-Structure

Authors:
Novakoviĉ, Branko (33541)
Matasiĉ, Suzanna
Journal: Strojarstvo
Number: 1
ISSN: 0562-1887
Volume: 34
Year: 1992
Pages: from 53 to 57
Number of references: 3
Language: hrvatski
Summary: In the paper an approach to control synthesis of nonlinearcontrol of industrial robot of RRTR-structure has been presented.The synthesis procedures of position and velocity regulators ofindustrial robot have used the state-space method. The simulationresults are shown by tables and figures of transitional prcessesof industrial robot of RRTR-structure.
Keywords: External linearization, robot control, robot motion simulation, state space.

Title: Intelligent robots and manufacturing automation

Authors:
Šurina, Tugomir (48562)
Journal: Robots and Computer Integrated Manufacturing
Number: 3
ISSN: 0736-5845
Volume: 7
Year: 1991
Pages: from 311 to 313
Number of references: 12
Language: engleski
Summary: Intelligent robots have been classified as the third generationof robots, able to solve strategic goals. However, if a robot isconceived as an automation which replaces the intellectualactivities of a human being, a rather different approach can beproposed, with a broader meaning of the concept " intelligent ".
Keywords: Intelligent robots, manufacturing automation, strategic goals, intellectual activities of a human being.

Title: Compensators for Contractive Systems

Authors:
Rastoviĉ, Danilo (106700)
Journal: Cybernetica
Number: 1
ISSN: 0011-4227
Volume: 36
Year: 1993
Pages: from 11 to 16
Number of references: 5
Language: engleski
Summary: On the basis of observation scheme, a compensator type isproposed. The conditions that are sufficient for synthesisprocedure are given for contraktive systems.
Keywords: Complex Hilbert space, compensators for contractive systems, observation schemes.

Title: Development of the industrial robot simulation model

Authors:
Crnekoviĉ, Mladen (128460)
Journal: Strojarstvo
Number: 2
ISSN: 0562-1887
Volume: 33
Year: 1991
Pages: from 75 to 81
Number of references: 5
Language: hrvatski
Summary: Simultations are obtained by a complete nonlinear model ofindustrial robot with four degrees of freedom, including 110robot physical parameters and motion kinematics. The influence ofthe number of setting points, desired end-effector velocity, andsampling period on realized motion has been analysed too.
Keywords: Industrial robot, robot control, simulation.

Title: Applications of neural networks in automatic control

Authors:
Novakoviĉ, Branko (33541)
Journal: Automatika
Number: 3
ISSN: 0005-1144
Volume: 34
Year: 1993
Pages: from 90 to 95
Number of references: 22
Language: engleski
Summary: The object of this paper is to indicate how to apply the generalmodels of Artificial Neural Networks (ANN) in the field ofautomatic control. For this purpose the second time-discretegeneral model of ANN is adopted in order to employ the classicalmethods from optimal control theory in deriving general forms forneural networks weights. As result of this approach, the weightoptimal ANN model is obtained, which is convenient for synthesisof ANN weight matrices in the system identification and controltheory, especially in intelligent robot control.
Keywords: Artificial neural networks (ANN), optimal control, weight matrices, identification, general ANN models.

Title: Synthesis of artificial neural networks for robot control

Authors:
Novakoviĉ, Branko (33541)
Journal: Strojarstvo
Number: 5,6
ISSN: 0562-1887
Volume: 36
Year: 1994
Pages: from 223 to 232
Number of references: 33
Language: engleski
Summary: In the paper a new neural network (NN) architecture is introduced where an one-step learning iteration approach is employed. The proposed NN synthesis procedures are useful for applications to identification and control of dynamical system. In this sense a neural network for an adaptive nonlinear robot control of RRTR robot structure is presented.
Keywords: Discrete time systems, neural networks, one-step learning iteration.

Title: Infinite fuzzy logic L1 controllers

Authors:
Rastoviĉ, Danilo (106700)
Journal: Fuzzy sets and systems
ISSN: 0165-0114
Volume: 72
Year: 1995
Pages: from 75 to 77
Number of references: 3
Language: engleski
Summary: The conditions of the equivalence between controllability and stabilizability are derived for an infinite fuzzy logic controller.
Keywords: Infinite fuzzy logic, universal fuzzy controller, measurable functions.


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