The synthesis of asynchronous-drive control systems using artificial neural networks (ANN) is considered. Various coordinate-observer architectures of the drives and neurocontrollers are proposed. Training of the ANN by genetic algorithms is discussed. Design methods based on multicomputer simulation are outlined.