Interval Type-2 Fuzzy System and its Applications

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Abstract: This talk will be delivered in two parts while the first part is a brief introduction of fuzzy logic systems from the control point of view while the second part is about the fuzzy-logic related applications. In the first part, the fuzzy logic system will be introduced and its fundamentals, working principle, and rationale will be explained in detail with the support of block diagrams and examples. The role of type-1, interval type-2, and general type-2 fuzzy sets will be discussed, and their pros and cons will be highlighted. In the second part, the applications using fuzzy-model-free and fuzzy-model-based techniques will be covered which include the control of the mobile robot, decision making and obstacle avoidance for robot soccer, drug administration of anesthesia, classification of epilepsy phases, balancing of an inverted pendulum, torque control of bolt-tightening applications and tracking control of continuum manipulator. The contributions of the presenter made to the filed, which initiated two research sub-fields underpinning the imperfect premise matching concept, membership-function-dependent analysis, and interval type-2 fuzzy-model-based control systems, will be summarised.

Slides are available here: Interval Type-2 Fuzzy System and its Applications