This paper presents a hybrid fuzzy logic proportional plus conventional integral-derivative controller (FP+ID) for the speed control of permanent magnet brushless dc (PMBLDC) motor. Though, PID controllers are commonly used in practice, they have failed to perform satisfactory under nonlinearity, load disturbances, parameter variation etc. In this paper, the performance of the permanent magnet ...

In this paper we study a fuzzy predator-prey model with functional response arctan(ax). The derivatives are approximated using the generalized Hukuhara derivative. To execute numerical simulation, use Runge-Kutta method. results obtained over time for evolution and population presented numerically graphically some conclusions.

Hellinger distance is a distance between two additive measures defined in terms of the RadonNikodym derivative of these two measures. This measure proposed in 1909 has been used in a large variety of contexts. In this paper we define an analogous measure for fuzzy measures. We discuss them for distorted probabilities and give two examples.

Proportional integral derivative controllers are widely used in industrial processes because of their simplicity and effectiveness for linear and nonlinear systems. The fuzzy controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the fuzzy controller for a nonlinear system allows for ...

In this paper, a gradient-based back propagation dynamical iterative learning algorithm is proposed for structure optimization and parameter tuning of the neuro-fuzzy system. Premise and consequent parameters of the neuro-fuzzy model are initialized randomly and then tuned by the proposed iterative algorithm. The learning algorithm is based on the first order partial derivative of the output wi...

In this paper, a thorough mathematical analysis is proposed for designing and tuning fuzzy proportional ± integral± derivative (FZ-PID) control in order to achieve a better performance and simpler design. The quantitative model of FZ-PID, derived for the mathematical analysis and gain design, consists of a nonlinear relay and a nonlinear proportional ± integral ± derivative (PID) controller. Th...

In this paper, a novel Model Reference Adaptive Control (MRAC)-based hybrid control algorithm is presented for the trajectory tracking of a tri-rotor Unmanned Aerial Vehicle (UAV). The mathematical model of the tri-rotor is based on the Newton–Euler formula, whereas the MRAC-based hybrid controller consists of Fuzzy Proportional Integral Derivative (F-PID) and Fuzzy Proportional Derivative (F-P...

We report on preliminary results in developing a new method for the synthesis of fuzzy-logic controllers for amplitude-sensitive nonlinear plants based on sinusoidal-input describing-function (sidf) methods. This technique exploits the fact that two traditional classes of fuzzy-logic controllers are, in functional terms, of the proportional-plus-derivative (pd) and proportional-plus-integral (p...

In the recent years the usage of data networks has been increased due to its cost effective and flexible applications. A shared data network can effectively reduce complicated wiring connections, installation and maintenance for connecting a complex control system with various sensors, actuators, and controllers as a networked control system. For the time-sensitive application with networked co...

A fuzzy association rule algorithm is implemented to extract the relationship between the atmospheric indices and the Indian Summer Monsoon Rainfall (ISMR). ENSO and EQWIN indices are used as the causative variables. Rules extracted are showing a negative relationship with ENSO index and a positive relationship with the EQWIN index. A fuzzy rule based prediction technique is also implemented on...