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A new concept of a multi-valued associative memory is introduced, generalizing a similar one in fuzzy neural networks. We expand the results on fuzzy associative memory with thresholds, to the case of a multi-valued one: we introduce the novel concept of such a network without numbers, investigate its properties, and give a learning algorithm in the multi-valued case. We discovered conditions under which it is possible to store given pairs of network variable patterns in such a multi-valued associative memory. In the multi-valued neural network, all variables are not numbers, but elements or subsets of a lattice, i.e., they are all only partially-ordered. Lattice operations are used to build the network output by inputs. In this paper, the lattice is assumed to be Brouwer and determines the implication used, together with other lattice operations, to determine the neural network output. We gave the example of the network use to classify aircraft/spacecraft trajectories., Comment: This is a version with correct Theorem 3 (Theorem 2 in published variant)

Mathematical model of a hexapod walking robot was implemented which allow to get visual information about features of its moving in an environment and helps to develop control algorithms. Based on a computational experiment the conclusion was made that geometric method is more preferred for solving forward and inverse kinematic problems of a hexapod robot with insect legs.

At all stages of the life cycle of unmanned aerial vehicles (UAVs), there is a need for experimental studies of their characteristics. In part, experimental studies of this kind could be performed on installations such as traditional wind tunnels. However, in existing wind tunnels, it is not possible to regulate the air flow speed and study the influence of the aircraft's center of mass position, as is required for evaluating the flight dynamics of modern UAVs. We present a fundamentally new concept of the laboratory stand and methodology for research of UAV aeromechanics and control problems. Results of research of aerodynamic characteristics for several UAVs are given.