Design of Self-Organized Intelligent Control Systems based on Quantum Fuzzy Inference: Intelligent System of Systems Engineering Approach

Abstract

This report presents a generalized design strategy of intelligent robust control systems based on quantum/soft computing technologies that enhance robustness of fuzzy controllers by supplying a selforganizing capability. It is demonstrated that fuzzy controllers prepared to maintain control object in the prescribed conditions are often fail to control when such a conditions are dramatically changed. We propose the solution of such kind of problems by introducing a generalization of strategies in fuzzy inference from a set of pre-defined fuzzy controllers by new Quantum Fuzzy Inference based systems (prototype of Intelligent System of Systems Engineering). We stress our attention on the robustness features of intelligent control systems.

Quantum Algorithm of Imperfect KB Self-organization Pt I: Smart Control-Information-Thermodynamic Bounds

“…o Structure of QFI model [35] based on QGA as the particular case of general quantum control algorithm of self-organization is introduced. o Quantum supremacy of intelligent cognitive control with information-thermodynamic trade-off distribution [36] of main control qualities for micro-nanorobotics demonstrated.…”

“…; , (35) where -the entropy production of the MMR motion; -the entropy exchange between the MMR and fluid medium; [ ]…”

“…Related works. Quantum computing approaching in robot path planning, emotion design, navigation, learning, decision making was applied also in [6,7,35,36] etc. Our approach is based on quantum self-organization of knowledge bases using responses of imperfect KB from fuzzy controllers on unpredicted situations in on line.…”

“…One of the interesting ideas was proposed in 2004, taking the first steps in implementing the genetic algorithm Distributed under creative commons license 4.0 on a quantum computer [35,36] . The author proposed this quantum evolutionary algorithm, which can be called the reduced quantum genetic algorithm (RQGA).…”

Intelligent control of mobile robot with redundant manipulator & stereovision: quantum / soft computing toolkit

“…This restriction is especially typical for unforeseen control situations when the CO operates in rapidly changing conditions (sensor failure or noise in the measuring system, the presence of a delay time for control or measurement signals, a sharp change in the structure of the CO or its parameters, etc.). A solution to this kind of problems can be found by introducing the principle of self-organization of KB into the design process of FC, which is implemented and programmatically supported by the developed model of QFI using the methodology of quantum soft computing and Intelligent System of System Engineering [25] . The proposed model of QFI uses private individual KB of FC, each of which is obtained by using SCO for the corresponding operating conditions of the CO and fixed control situations in an external random environment.…”