Cyclic Stochastic Approximation with Disturbance on Input in the Parameter Tracking Problem Based on a Multiagent Algorithm
We consider the possibilities of using cyclic stochastic approximation for solving optimization problems of a nonstationary functional of the data produced by distributed observers (sensors) under constraints on the possibilities of simultaneous communication between the observers themselves. We ach...
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| Veröffentlicht in: | Automation and remote control 2018-06, Vol.79 (6), p.1013-1028 |
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| container_title | Automation and remote control |
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| creator | Granichin, O. N. Erofeeva, V. A. |
| description | We consider the possibilities of using cyclic stochastic approximation for solving optimization problems of a nonstationary functional of the data produced by distributed observers (sensors) under constraints on the possibilities of simultaneous communication between the observers themselves. We achieve tracking the optimal value of parameters up to a certain level of quality with a multi-agent algorithm. The efficiency of the proposed approach is illustrated by an example of modeling the process of tracking the trajectories of a group of moving objects using a set of spatially distributed sensors. |
| doi_str_mv | 10.1134/S0005117918060036 |
| format | Article |
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| ispartof | Automation and remote control, 2018-06, Vol.79 (6), p.1013-1028 |
| issn | 0005-1179 1608-3032 |
| language | eng |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Algorithms Approximation CAE) and Design Calculus of Variations and Optimal Control Optimization Computer-Aided Engineering (CAD Control Mathematics Mathematics and Statistics Mechanical Engineering Mechatronics Moving object recognition Multiagent systems Observers Parameters Robotics Sensors Systems Theory Topical Issue Tracking problem |
| title | Cyclic Stochastic Approximation with Disturbance on Input in the Parameter Tracking Problem Based on a Multiagent Algorithm |
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