This article advances the research on the intelligent monitoring and control of helicopter
turboshaft engines in onboard conditions. The proposed neural network system for anomaly …

This research focused on the helicopter turboshaft engine dynamic model, identifying task
solving in unsteady and transient modes (engine starting and acceleration) based on sensor …

The work is devoted to the modernization of closed onboard helicopters turboshaft engines
automatic control system through the use of a selectable block of neural network controllers …

The work is devoted to the development of the radial basis functions (RBF networks) neural
network new architecture–a polymorphic RBF network in which the one-dimensional radial …

This work is devoted to the development of a neural network method for helicopters
turboshaft engines working process thermo-gas-dynamic parameters identification. The …

A helicopters turboshaft engines parameters identification neural network method has been
developed, which reflects its functioning in transient conditions, the basis of which is a three …

The work is devoted to the development of a method for identification potential defects in
helicopters turboshaft engines units, which based on predicting their operational status in …

The work is devoted to the development of a neural network method for stabilizing multirotor
unmanned aerial vehicles in three stabilization angles (roll, yaw, pitch), which is based on a …

The work is devoted to the development of a method for controlling the main rotor speed,
which is a key task to be solved in a helicopter flight. A modified block diagram of the circuit …

The work is a continuation of the research devoted to the development of a multidimensional
Kalman filter connected at the output of the built-in helicopter's turboshaft engines …