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- Natalia Amelina, N. Armestob, C. Pajaresc, D. Sousad

A Monte Carlo model to simulate nuclear collisions in the energy range going from SPS to LHC, is presented. The model includes in its initial stage both soft and semihard components, which lead to the formation of color strings. Collectivity is taken into account considering the possibility of strings in color representations higher than triplet or… (More)

- Oleg N. Granichin, Natalia Amelina
- IEEE Trans. Automat. Contr.
- 2015

- Natalia Amelina, Alexander Fradkov, Yuming Jiang, Dimitrios J. Vergados
- IEEE Transactions on Information Theory
- 2015

This paper is devoted to the approximate consensus problem for stochastic networks of nonlinear agents with switching topology, noisy, and delayed information about agent states. A local voting protocol with nonvanishing (e.g., constant) step size is examined under time-varying environments of agents. To analyze dynamics of the closed-loop system, the… (More)

- Natalia Amelina, Alexander Fradkov, Konstantin Amelin
- 2012 IEEE International Conference on Control…
- 2012

In this paper the approximate consensus problem in multi-agent stochastic systems with noisy information about the current state of the nodes and randomly switched topology for agents with nonlinear dynamics is considered. The control is formed by the local voting protocol with step size not tending to zero. To analyze closed loop system we propose to use… (More)

The problem of small UAVs flight optimization is considered. To solve this problem thermal updrafts are used. For the precise detection of the thermal updrafts center the simultaneous perturbation stochastic approximation (SPSA) type algorithm is proposed. If UAVs use thermal updrafts so they can save the energy during the flight. Therefore the flight time… (More)

- Natalia Amelina, Oleg N. Granichin, Olga Granichina, Yury Ivanskiy, Yuming Jiang
- 2014 IEEE International Symposium on Intelligent…
- 2014

In this paper a distributed stochastic network system with incoming tasks that are classified with priorities is studied. The network system is assumed to have variable topology, and agents are not necessarily always connected to each other. In addition, the observations about neighbors' states are supposed to be obtained with random noise and delays. To… (More)

In this paper, a new consensus problem, termed differentiated consensuses, is studied. This consensus problem is that, in a system with multiple classes, consensus is targeted for each class, which may be different among classes. Specifically, we investigate differentiated consensuses in a distributed stochastic network system of nodes (or agents), where… (More)

- Ameen Chilwan, Natalia Amelina, Zhifei Mao, Yuming Jiang, Dimitrios J. Vergados
- EUNICE
- 2014

- Natalia Amelina, Alexander Fradkov
- ECC
- 2014

The paper is devoted to the approximate consensus problem for networks of nonlinear agents with switching topology, noisy and delayed measurements. In contrast to the existing stochastic approximation-based control algorithms (protocols), local voting protocols with nonvanishing step size are proposed. Nonvanishing (e.g., constant) step size allows to… (More)