Intelligent control systems. I. Quantum computing and self-organization algorithm

The role and methodology of application of quantum computing in problems of design of robust intelligent control systems under the conditions of contingency control situations are discussed. The quantum self-organization control algorithm, which contains the self-organization control algorithm for robust knowledge bases as the particular case, is developed. The satisfaction of the introduced thermodynamic criterion (in the form of the minimum of the generalized entropy in the established relation between such qualitative control characteristics as stability, controllability, and robustness) is the goal of application of the quantum self-organization control algorithm for knowledge bases used in the control loop. The essentially nonlinear and globally unstable control object is used as the example for application of the quantum self-organization control algorithm to the solution of the vector optimization problem based on the decomposition of knowledge bases.