Results 21 to 30 of about 121,576 (293)
A multiple fuzzy controller is proposed for self-organizing fuzzy control in which several "elemental fuzzy controllers" are processed in parallel and the degree of usage of each inferred consequent is determined by using a linear neural network. The inputs to the neural network are all the inferred consequents generated from the elemental fuzzy ...
Keigo Watanabe +2 more
openaire +3 more sources
FPGA Based Modified Fuzzy PID Controller for Pitch Angle of Bench-top Helicopter [PDF]
Fuzzy PID controller design is still a complex task due to the involvement of a large number of parameters in defining the fuzzy rule base. To reduce the huge number of fuzzy rules required in the normal design for fuzzy PID controller, the fuzzy PID ...
A.A. Aldair
doaj
Multi-objective evolutionary–fuzzy augmented flight control for an F16 aircraft [PDF]
In this article, the multi-objective design of a fuzzy logic augmented flight controller for a high performance fighter jet (the Lockheed-Martin F16) is described.
Baglio S. +7 more
core +2 more sources
A Fuzzy Neural Network Controller Using Compromise Features for Timeliness Problem
When the control rules of traditional fuzzy controller are determined, it comes to be time-consuming and laborious to adjust for different usage conditions.
Lei Wang +3 more
doaj +1 more source
To improve surplus torque suppression and loading performance of electric load simulators, this paper presents a loading control strategy based on the new mapping approach and fuzzy inference scheme in the fuzzy Cerebellar Model Articulation Controller ...
Bo Yang, Fuhuang Liu, Meng Zhang
doaj +1 more source
Designing an Energy Storage System Fuzzy PID Controller for Microgrid Islanded Operation
Recently, interest in microgrids, which are composed of distributed generation (DG), distributed storage (DS), and loads, has been growing as a potentially effective clean energy system to mitigate against climate change. The microgrid is operated in the
Jin-Hong Jeon +4 more
doaj +1 more source
Intelligent control for nonlinear inverted pendulum based on interval type-2 fuzzy PD controller
The interval type-2 fuzzy logic controller (IT2-FLC) is able to model and minimize the numerical and linguistic uncertainties associated with the inputs and outputs of a fuzzy logic system (FLS).
Ahmad M. El-Nagar +2 more
doaj +1 more source
A layered fuzzy logic controller for nonholonomic car-like robot [PDF]
A system for real time navigation of a nonholonomic car-like robot in a dynamic environment consists of two layers is described: a Sugeno-type fuzzy motion planner; and a modified proportional navigation based fuzzy controller.
El-Khatib, M.M., Hamilton, D.J.
core +1 more source
Novel fuzzy logic controllers with self-tuning capability [PDF]
Two controllers which extend the PD+I fuzzy logic controller to deal with the plant having time varying nonlinear dynamics are proposed. The adaptation ability of the first self tuning PD+I fuzzy logic controller (STPD+I_31) is achieved by adjusting the ...
Lotfi, A, Teng, FC, Tsoi, AC
core +1 more source

