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Amelina N.O. (SPbSU), Fradkov A.L. (SPbSU, IPME) The
method of averaged models for consensus problem........................................................ 3 Vasilev V. I. (SPb) The new network-based
approach for problems without single solution
........................................................ 40 Kiyaev V.I. (SPbSU), Gerasimov
R.V. Smart
CRM based on multi-agent approach............................................................ 50 Krivokon D.S. (SPbSU) Simultaneous
adjustment of camera parameters and
positions of observed points ........................................................ 95 Shats V.N. (SPb) Learning
model of the self-organizing system ............................................................ 101 Komarov S.N., Nesterov A.V., Serenryakova CM.
(SPbSU) The
information system of the university for accounting purposes and effective usage of real estate ........................................................ 115 Granichin O.N. (SPbSU) 48-50th
International Conference "Conference on Decision and Control" (IEEE
CDC/CCC 2009, CDC 2010, CDC-ECC 2011) ........................................................ 142 |
ABSTRACTS
Multi-Agent
Systems
The Method of Averaged Models for Consensus Problem
N. O. Amelina, A. L. Fradkov
leishe@mail.ru, fradkov@mail.ru
Key words: consensus problem, multi-agent systems, method of averaged models.
In this paper we study properties
of multi-agent consensus control, which is formed by local voting protocol
(algorithm) with step size which is not decreasing to zero, with the switching
topology, random delay and noise in observations for agents with nonlinear
state dynamics. To analyze closed loop system we propose to use the method of
averaged models.
Bibliogr.: 38 refs.
The New Network-Based Approach for Problems Without
Single Solution
V. I. Vasilev
Key words: smart networks,
multiagent, multiagent networks.
This paper describes a
promising new approach in organization of the parallel computations. This
approach inherits traditional merit — neurocomputing effective parallelism and
flexibility of multi-agent technology. The proposed concept allows to obtain a
solution with accuracy that depends on the number of elementary processors and
structure of the intellectual network. In this case, due to the fact that each
processor divided into two separate processes: calculation (clean mathematical
function), and control (any algorithm, whose influence on the computation and
the network is limited on the given set of the elementary restrict actions),
concept may give us a flexible way to describe the various non-deterministic
system.
Bibliogr.: 12 refs.
Smart CRM Based on Multi-Agent Approach
V. I. Kiyaev, R.V. Gerasimov
kiyaev@mail.ru, driven5@rambler.ru
Key words: multiagent approach, client network management, Customer Relationship
Management.
In this paper the usage
of multi-agent approach to customer service is described. It is proposed to
supplement the widely used concept of client-oriented approach based on CRM
(Customer Relationship Management) with multi-agent systems and mechanisms.
This approach represents a new way of solving the management problems the
client network.
Bibliogr.: 34 refs.
Pattern
Recognition
Simultaneous Adjustment of Camera Parameters and
Positions of Observed Points
D. S. Krivokon
Saint-Petersburg State University dmitry00@gmail.com
Key words: multidimensional optimization, camera's localization, point's
triangulation.
The paper introduces a
problem of adjustment of camera parameters and positions of points which they
observe. Short introduction into subject area is given. Formalization of problem
in question is presented. Major complications are concerned.
Bibliogr.: 16 refs.
Learning Model of
the Self-Organizing System
V. N. Shats St. Petersburg vlnash@mail.ru
Key words: information environment, adaptation, branching chain, learning problem,
stochastic model.
Theory of information
environment allows to treat learning sample as external information of the
self-organizing system. The system operates as a distributed parallel
processor that provides its adaptation. Recognition of external influence runs
stage of receiving the stimulus, transformations in sensation and then
perception which is the classification of information based on accumulated
experience in the system. Under this approach the matrix table is displayed in
the ensemble matrices of perceptions. These matrices depend on system
parameters and has stochastic character. Learning concludes with analysis
frequencies of perceptions combinations of inherent in certain classes. The
result of system is a probabilistic estimate of the index class.
Bibliogr.: 14 refs.
Information
Systems
The Information
System of the University for Accounting Purposes and Effective Usage of Real
Estate
S. N. Komarov, A. V. Nesterov, G. M. Serebryakova Saint Petersburg State
University stas@iti.spbu.ru
Key words: efficient usage of real
estate, information systems.
The paper is considered the
original approach to design the University information system for accounting
and the efficient usage of real estate. It is developed as a part of complex
general systems.
Bibliogr.: 9 refs.
Conferences
48-50th International Conference "Conference on Decision
and Control" (IEEE CDC/CCC 2009, CDC 2010,
O. N. Granichin
Key words: conferences, automatic
control, systems.
Control Systems Society
(CSS) of the international
Bibliogr.: 10 refs.