论文信息 - Parallelization of a fuzzy control algorithm using quantum computation

Parallelization of a fuzzy control algorithm using quantum computation

Quantum computation is proposed for the parallelization of a fuzzy logic control (FLC) algorithm. Quantum computation speeds up the fuzzy inference since serial operations between matrices of large dimensionality are now replaced by a one-step quantum addition or a quantum subtraction. The unitarity properties of the algorithm prove that the FLC stands for a simulator of a quantum computing machine.

Spyros G. Tzafestas | Gerasimos G. Rigatos | S. Tzafestas | G. Rigatos

[1] Spyros G. Tzafestas,et al. Reactive parking control of nonholonomic vehicles via a fuzzy learning automaton , 2001 .

[2] A. Steane. Quantum Computing , 1997, quant-ph/9708022.

[3] H. S. Allen. The Quantum Theory , 1928, Nature.

[4] D. Deutsch. Quantum theory, the Church–Turing principle and the universal quantum computer , 1985, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[5] Gerasimos Rigatos,et al. Stability analysis of an adaptive fuzzy control system using Petri Nets and learning automata , 2000 .

[6] Vlatko Vedral,et al. Basics of quantum computation , 1998, quant-ph/9802065.

[7] Jerry M. Mendel,et al. Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..

[8] Dr. Rainer Palm,et al. Model Based Fuzzy Control , 1997, Springer Berlin Heidelberg.

[9] Spyros G. Tzafestas,et al. Fuzzy reinforcement learning control for compliance tasks of robotic manipulators , 2002, IEEE Trans. Syst. Man Cybern. Part B.

[10] Spyros G. Tzafestas,et al. Mobile robot motion control in partially unknown environments using a sliding-mode fuzzy-logic controller , 2000, Robotics Auton. Syst..