Results 171 to 180 of about 46,050 (232)
A quasi-oppositional FBI algorithm driven fuzzy cascaded fractional-order controller for enhancing transient stability in hybrid power systems. [PDF]
Sci RepSahu J +7 more
europepmc +1 more source
Robust load frequency control in renewable integrated Multi Area grids using hybrid SA and QIO tuned PIDF controller. [PDF]
Sci RepYounis W +4 more
europepmc +1 more source
Power quality enhancement using fractional order type-2 fuzzy SHAF optimized with hPSOFA algorithm. [PDF]
Sci RepMishra AK +6 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Expert Systems with Applications, 2021
Abstract In this paper an uncertain dynamical system is investigated in which the coefficients are as a class of fuzzy sets and the fuzzy derivative is considered as the granular derivative. Furthermore, the notions of granular second order derivative of a fuzzy function, fuzzy overshoot, fuzzy rise-time, and fuzzy peak-time are introduced.
Marzieh Najariyan, Yi Zhao
openaire +1 more source
Abstract In this paper an uncertain dynamical system is investigated in which the coefficients are as a class of fuzzy sets and the fuzzy derivative is considered as the granular derivative. Furthermore, the notions of granular second order derivative of a fuzzy function, fuzzy overshoot, fuzzy rise-time, and fuzzy peak-time are introduced.
Marzieh Najariyan, Yi Zhao
openaire +1 more source
Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation, 2002
The paper introduces in detail the derivation of a control algorithm. In this algorithm, a fuzzy controller is applied to the PID control method and a self-optimal regulating factor is added to the control rule, thus the controller not only has quick dynamic response and allows overswing properties of the fuzzy controller, but also has the high ...
null Liang Xiaoyin, null Qu Beimin
openaire +1 more source
The paper introduces in detail the derivation of a control algorithm. In this algorithm, a fuzzy controller is applied to the PID control method and a self-optimal regulating factor is added to the control rule, thus the controller not only has quick dynamic response and allows overswing properties of the fuzzy controller, but also has the high ...
null Liang Xiaoyin, null Qu Beimin
openaire +1 more source
1985 24th IEEE Conference on Decision and Control, 1985
A fuzzy supervisor for a conventional PID controller is described. In the design of the supervisor the knowledge of an expert in tuning the parameters of the PID controller is applied. Moreover, a performance index is formulated, which matches the requirements in real applications better than the integral criteria generally used. In a simulation set-up
H. Van Nauta Lemke, Wang De-zhao
openaire +1 more source
A fuzzy supervisor for a conventional PID controller is described. In the design of the supervisor the knowledge of an expert in tuning the parameters of the PID controller is applied. Moreover, a performance index is formulated, which matches the requirements in real applications better than the integral criteria generally used. In a simulation set-up
H. Van Nauta Lemke, Wang De-zhao
openaire +1 more source
Fuzzy PID Controller with Fuzzy Supervision
IFAC Proceedings Volumes, 2000Abstract The best-known industrial process controllers are proportional-integral-derivative (РID) controllers because of their simple structure and robust performance in a wide range of operating conditions. Fuzzy controllers can be viewed as a natural similarity of conventional РID controllers, which can perform the same tasks into the control ...
Michail Petrov +3 more
openaire +1 more source
Fuzzy PID controller structures
CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings, 2002This paper provides a systematic procedure for designing fuzzy PID controllers. The fuzzy nonlinear mapping with respect to error, error change and rate of error change is analyzed to produce different fuzzy PID controller structures. The design procedure is identified as a two-level tuning problem.
G.K.I. Mann, B.-G. Hu, R.G. Gosine
openaire +1 more source
A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process
International Journal of Fuzzy Systems, 2020In this paper, we present a fuzzy PID control system as a combination of a fuzzy PID controller and a fuzzy control process, which is represented by a fuzzy control differential equation in linear form. We use the concepts of the generalized Hukuhara differentiability and the fuzzy integral of fuzzy-valued functions to study some qualitative properties
Nguyen Dinh Phu +3 more
openaire +1 more source