  A generalized strategy for the design of intelligent robust control systems
based on quantum / soft computing technologies is described. The reliability of
hybrid intelligent controllers increase by providing the ability to
self-organize of imperfect knowledge bases. The main attention is paid to
increasing the level of robustness of intelligent control systems in
unpredictable control situations with the demonstration by illustrative
examples. A SW & HW platform and support tools for a supercomputer accelerator
for modeling quantum algorithms on a classical computer are described.
