A Stochastic Approach to Fuzzy Control

作者：Nagy Karoly^*; Diveki Szabolcs; Odry Peter; Sokola Matija; Vujicic Vladimir

来源：Acta Polytechnica Hungarica, 2012, 9(6): 29-48.

DOI：10.12700/aph.9.6.2012.6.3

• fuzzy control
• fuzzy inference systems
• approximate reasoning
• fuzzification
• alpha-cuts
• stochastic

The paper presents the utilization of low-resolution data for control purposes. The control is based on fuzzy logic, with the deployment of stochastic digital low-resolution time arrays. Every control decision contains a degree of imprecision, being derived from measured low-resolution data. The imprecision is eliminated by stochastic noise superimposed during the data gathering, while the negative effects of noise are suppressed both by the fuzzy nature of the decision-making process and by the energy inertia in the controlled object. The proposed stochastic fuzzy control is extremely fast, robust and so simple that it practically does not need a microprocessor. This approach is validated by a simulation of holding upright an inverse pendulum.

• 出版日期2012