Abstract :
The formidable real-time control problem posed by producing, accelerating, and colliding very-high-power, low-emittance beams for long periods of time is addressed. It is shown how neural nets suggest ways to circumvent the limitations encountered by such large, complex systems. It is argued that they are logically equivalent to multiloop feedback/forward control of faulty systems and mesh nicely with characteristics desired for real-time systems. Examples are given, and the potential of the approach is discussed
Keywords :
beam handling techniques; data acquisition; neural nets; nuclear electronics; physics computing; real-time systems; low-emittance beams; multiloop feedback/forward control; neural nets; real-time control problem; Acceleration; Artificial intelligence; Computer aided instruction; Control systems; Electrons; Integrated circuit reliability; Neural networks; Optical computing; Real time systems; Slag;
