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.

翻译：本文描述了一种基于量子/软计算技术的智能鲁棒控制系统设计的通用策略。通过提供不完美知识库的自组织能力，混合智能控制器的可靠性得以提升。重点阐述了在不可预测的控制情境中提高智能控制系统鲁棒性水平的方法，并通过示例加以说明。本文还描述了用于在经典计算机上模拟量子算法的超算加速器的软硬件平台及支撑工具。