The benefits of renewable energy are that it is sustainable and is low in environmental
pollution. Growing load requirement, global warming, and energy crisis need energy …

Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …

The main reason of the extensive usage of the fuzzy systems in many branches of science is
their approximation ability. In this paper, an interval type-3 fuzzy system (IT3FS) is proposed …

Nowadays, due to some environmental restrictions and decrease of fossil fuel sources,
renewable energy sources and specifically wind power plants have a major part of energy …

The refined fault tolerant tracking control (FTTC) scheme is developed for multiple fixed-wing
unmanned aerial vehicles (UAVs) against actuator faults and wind effects under event …

This paper proposes two new designing methods of adaptive controllers in order to
synchronize uncertain nonlinear chaotic systems with input quantization. The hysteresis …

Nonlinear systems widely exist in the real world. Researches on the synchronization and
identification of nonlinear systems have both theoretical and practical interests. However …

Aeroengine fault detection is an important means to ensure flight safety. The application
premise of data driven fault detection method is that all data come from the same …

This study introduces a novel self-organizing recurrent interval type-2 fuzzy neural network
(SRIT2FNN) for the construction of a soft sensor model for a complex chemical process. The …

This paper develops a non-singleton type-2 fuzzy neural network (NT2FNN) with type-2 3-
dimensional membership functions (MFs) and adaptive secondary membership. A new …