The task of decentralized coordinated control for vertical trajectory movement of a group of different types of pilotless aircraft is considered here. The aircraft do not exchange information. Remote control of each plane is realized by a ground-based command post with a radio channel. An approach to decentralized control with model coordination is used for a compound system with local multiple-input multiple-output (MIMO) subsystems. The approach is based on the results of system embedding technology.
The paper proposes a method for implementing a universal neural network processor with hysteresis dynamics. This processor allows a wide range of heterogeneous tasks in real time to be performed without reprogramming and changing their internal structure. Adding hysteresis behavior to the system makes it possible to increase resistance to external influences, the complexity as well as non-linearity of intelligent output. The paper discusses the use of this processor as part of an on-board intelligent avionics system.
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