With an emphasis on performance, enhanced functionality and safety, next generation aerospace vehicles are extremely complex dynamical systems. Whereas traditional flight controls and system monitoring strategies have sufficed for previous generation systems, new methodologies based on artificial neural networks have had to be developed to meet the engineering challenges posed by these next generation air systems.

Artificial neural networks (ANN) have found applications in both diagnostics (i.e. prognostics) and control. For example, with their adaptive learning capabilities, neural networks present a revolutionary advance in aircraft flight controls that can efficiently optimize aircraft performance in both normal and failure modes. With their ability to capture nominal signatures, ANN's have
also found successful applications in advanced diagnostics and prognostics on both airframes and space vehicles.

Mosaix provides a full spectrum of advanced neural network turn-key solutions to the aerospace industry. Our neural network product portfolio includes our powerful host based TLRNN learning software and dedicated IP core and hardware solutions for real-time embedded applications.