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Oleksandr Dykhovychnyi

Publications and source records attributed to Oleksandr Dykhovychnyi.

2 recordsLinked to original sources

Energy-efficient flocking with nonlinear navigational feedback

Modeling collective motion in multi-agent systems has gained significant attention. Of particular interest are sufficient conditions for flocking dynamics. We present a generalization of the multi-agent model of Olfati--Saber with nonlinear navigational feedback forces. Unlike the original model, ours is not generally dissipative and lacks an obvious Lyapunov function. We address this by proposing a method to prove the existence of an attractor without relying on LaSalle's principle. Other contributions are as follows. We prove that, under mild conditions, agents' velocities approach the center of mass velocity exponentially, with the distance between the center of mass and the virtual leader being bounded. In the dissipative case, we show existence of a broad class of nonlinear control forces for which the attractor does not contain periodic trajectories, which cannot be ruled out by LaSalle's principle. Finally, we conduct a computational investigation of the problem of reducing propulsion energy consumption by selecting appropriate navigational feedback forces.

math.DS

On the distribution of maximum of a Brownian sheet restricted to a lower-dimensional set

We obtain sufficient conditions of stochastic equivalence of Gaussian random fields with special covariance function. These results generalize Doob's transformation (condition of stochastic equivalence of a Gaussian and a Wiener processes) to the case of random fields (condition of stochastic equivalence of a Gaussian process and a Brownian sheet). We look at the problem of finding the distribution of supremum of a Brownian sheet on a set with a dimension lower than the dimension of the field. We consider the probability of a Brownian sheet with a certain drift to attain zero level. The obtained results can significantly simplify the problem of finding distributions of functionals of a Brownian sheet by reducing it to the problem of finding distributions on parallelepipeds with dimension lower than the dimension of the field. We consider examples that verify validity of the obtained theorem by modeling corresponding fields and comparing empirical probabilities with theoretical ones.

math.PR