Results 1 to 10 of about 5,072,412 (324)

Optimization of Fuzzy Controller of a Wind Power Plant Based on the Swarm Intelligence [PDF]

13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE), Novosibirsk, 2016, 2020
The article considers the problem of the optimal control of a wind power plant based on fuzzy control and automation of generating the fuzzy rule base. Fuzzy rules by experts do not always provide a maximum power output of the wind plant and fuzzy rule bases require an adjustment in the case of changing the parameters of the wind power plant or the ...
arxiv   +1 more source

A survey of fuzzy control for stabilized platforms [PDF]

International Journal of Computer Science & Engineering Survey (IJCSES) Vol.2, No.3, August 2011, 2011
This paper focusses on the application of fuzzy control techniques (fuzzy type-1 and type-2) and their hybrid forms (Hybrid adaptive fuzzy controller and fuzzy-PID controller) in the area of stabilized platforms. It represents an attempt to cover the basic principles and concepts of fuzzy control in stabilization and position control, with an outline ...
arxiv   +1 more source

Supervisory Control of Fuzzy Discrete Event Systems: A Formal Approach [PDF]

IEEE Trans. SMC-Part B, VOL.35, NO. 1, February 2005, pp. 72-88, 2006
Fuzzy {\it discrete event systems} (DESs) were proposed recently by Lin and Ying [19], which may better cope with the real-world problems with fuzziness, impreciseness, and subjectivity such as those in biomedicine. As a continuation of [19], in this paper we further develop fuzzy DESs by dealing with supervisory control of fuzzy DESs.
arxiv   +1 more source

Supervisory Control of Fuzzy Discrete Event Systems for Simulation Equivalence [PDF]

IEEE Transactions on Fuzzy Systems, Vol. 23, No. 1, pp. 178-192, February 2015, 2016
The supervisory control theory of fuzzy discrete event systems (FDESs) for fuzzy language equivalence has been developed. However, in a way, language equivalence has limited expressiveness. So if the given specification can not be expressed by language equivalence, then the control for language equivalence does not work.
arxiv   +1 more source

Bi-Fuzzy Discrete Event Systems and Their Supervisory Control Theory [PDF]

, 2016
It is well known that type-1 fuzzy sets (T1 FSs) have limited capabilities to handle some data uncertainties directly, and type-2 fuzzy sets (T2 FSs) can cover the shortcoming of T1 FSs to a certain extent. Fuzzy discrete event systems (FDESs) were proposed based on T1 FSs theory.
arxiv   +1 more source

A fuzzy logic feedback filter design tuned with PSO for L1 adaptive controller [PDF]

Expert Systems with Applications 42, no. 23 (2015): 9077-9085, 2018
L1 adaptive controller has been recognized for having a structure that allows decoupling between robustness and adaption owing to the introduction of a low pass filter with adjustable gain in the feedback loop. The trade-off between performance, fast adaptation and robustness, is the main criteria when selecting the structure or the coefficients of the
arxiv   +1 more source

EvoNF: A Framework for Optimization of Fuzzy Inference Systems Using Neural Network Learning and Evolutionary Computation [PDF]

The 17th IEEE International Symposium on Intelligent Control, ISIC'02, IEEE Press, ISBN 0780376218, pp 327-332, 2002, 2004
Several adaptation techniques have been investigated to optimize fuzzy inference systems. Neural network learning algorithms have been used to determine the parameters of fuzzy inference system. Such models are often called as integrated neuro-fuzzy models.
arxiv   +1 more source

Fuzzy Logic based Autonomous Parking Systems -- Part III: A Fuzzy Decision Tree System [PDF]

arXiv, 2019
This paper proposes a robust design of Hybrid Fuzzy Controller for speed and steering angle control in an Intelligent Autonomous Parking System (IAPS). The Hybrid Fuzzy Controller consists of a Base Fuzzy Controller (BFC) and a Supervisory Fuzzy Decision Tree Controller (SFDTC).
arxiv  

A New Approach to Solve the Fuzzy Nonlinear Unconstraint Optimization Problem [PDF]

arXiv, 2022
This paper investigates fuzzy nonlinear system equations using an optimization approach. Here, the inner-outer direct search technique is used with fuzzy coefficients and vectors to quantify the uncertain solution. The fuzzy nonlinear system of equations is converted into an unconstrained fuzzy multivariable optimization problem with preserving the ...
arxiv  

Automatic Temperature Setpoint Tuning of a Thermoforming Machine using Fuzzy Terminal Iterative Learning Control [PDF]

arXiv, 2017
This paper presents a new way to design a Fuzzy Terminal Iterative Learning Control (TILC) to control the heater temperature setpoints of a thermoforming machine. This fuzzy TILC is based on the inverse of a fuzzy model of this machine, and is built from experimental (or simulation) data with kriging interpolation.
arxiv