An algorithm of adaptive minimax control for pursuit-evasion in discrete dynamical systems with several pursuers / Shorikov AF // JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL. - 2005. - V. 44, l. 5. - P. 761-776.

ISSN/EISSN:
1064-2307 / нет данных
Type:
Article
Abstract:
The problem of adaptive minimax control for the pursuit-evasion process is considered in the class of discrete dynamical systems consisting of several controlled objects, each of which has the dynamics described by linear recurrent vector equations. The past realizations of directive signals from the objects I-i, i epsilon \{1, 2, ..., n\} generated by n pursuers and the realizations of information signals with incomplete information about object II controlled by the evader are assumed to be known during the control process. The sets restricting the variation of all a priori indeterminate parameters for the given class of dynamical systems are also assumed to be known and to have the form of convex closed and bounded polyhedra (with a finite number of vertices) in the corresponding Euclidean spaces. Under these assumptions, we state and solve the problem of adaptive minimax control for the pursuit-evasion process in this class of discrete dynamical systems with several pursuers and incomplete information. To realize the minimax. pursuit control in a chosen family of admissible strategies of adaptive controls, we propose a finite recurrent algorithm, each step of which is based on the process of posterior minimax, nonlinear filtration and on the solution of some problems of linear and convex programming. The results obtained can be used in the computer modeling of real dynamical processes and in the optimal design of navigation and control devices for different transportation systems.
Author keywords:
нет данных
DOI:
нет данных
Web of Science ID:
ISI:000232935000012
Соавторы в МНС:
Другие поля
Поле Значение
Month SEP-OCT
Publisher INTERPERIODICA
Address PO BOX 1831, BIRMINGHAM, AL 35201-1831 USA
Language English
Research-Areas Computer Science
Web-of-Science-Categories Computer Science, Artificial Intelligence; Computer Science, Cybernetics; Computer Science, Theory \& Methods
Number-of-Cited-References 12
Journal-ISO J. Comput. Syst. Sci. Int.
Doc-Delivery-Number 979IG