Robust Quantum Controllers: Quantum Information -- Thermodynamic Hidden Force Control in Intelligent Robotics based on Quantum Soft Computing
This work addresses robustness in intelligent robotics control, but appears incremental as it builds on existing quantum and soft computing methods.
The paper tackles the design of robust intelligent control systems using quantum and soft computing technologies, demonstrating increased reliability through self-organizing knowledge bases and improved robustness in unpredictable situations with illustrative examples.
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.