In this paper, a novel methodology, based on fuzzy logic, for the tuning of proportional-integral-derivative (PID) controllers is presented. A fuzzy inference system is adopted to determine the value of the weight that multiplies the set-point for the proportional action, based on the current output error and its time derivative. In this way, both the overshoot and the rise time in set-point fo...

In this paper, we combine fuzzy calculus, and conformable calculus to introduce the calculus. We define derivative of order $2\Psi $ generalize it derivatives $p\Psi $. Several properties on difference, product, sum, addition two fuzzy-valued functions are provided which used in solution differential equations. Also, examples each case given illustrate utility our results.

conjugated polymer actuators can be employed to achieve micro and nano scale precision, and have a wide range of applications including biomimetic robots, and biomedical devices. in comparison to robotic joints, they do not have friction or backlash, but on the other hand, they have complicated electro-chemo-mechanical dynamics which makes modelling and control of the actuator really difficult....

This article presents a comparison of controllers which have been applied to a fixed‐wing Unmanned Aerial Vehicle (UAV). The comparison is realized between classical linear controllers and nonlinear control laws. The concerned linear controllers are: Proportional‐ Derivative (PD) and Proportional‐Integral‐Derivative (PID), while the nonlinear controllers are: backstepping, ...

In this paper, based on a partial order, we study the characterizations of directional derivatives and the subdifferential of fuzzy function. At the same time, we also discuss the relation between the directional derivative and the subdifferential.

In this paper, the author combines geometric theory of analytic function regarding differential superordination and subordination with fuzzy for convolution product Ruscheweyh derivative multiplier transformation. Interesting inequalities are obtained by author.

This paper suggests a new stability analysis theorem dedicated to a class of fuzzy logic control systems. The fuzzy logic control systems consist of nonlinear Single Input-Single Output (SISO) discrete-time processes controlled by Takagi-Sugeno fuzzy logic controllers. The stability analysis is conducted on the basis of Lyapunov’s direct method with quadratic Lyapunov function candidates. The t...

Design of fuzzy logic controllers encounters difficulties in the selection of optimized membership functions and fuzzy rule base, which is traditionally achieved by a tedious trial-and-error process. This paper develops genetic algorithms for automatic design of high performance fuzzy logic controllers using sophisticated membership functions that intrinsically reflect the nonlinearities encoun...

An evolutionary fuzzy controller that drives the output parameters of fuzzy logic system in such a way that the Lyapunov function and the system is exponentially stable is presented. The output parameters of the fuzzy logic system are updated for every sampling time in an evolutionary manner. Only part of the parameters associated with the current situation are considered and, thus, the present...

Edge detection of real world images is a challenging task. To extract the edges from the images, derivative edge detection operators or gradient operator, such as Sobel operator, Prewitt operator, Roberts operator, and Laplacian operators ,Canny operators are commonly used for which 3x3 mask is used. Different approaches have been used earlier for detecting edges that have some advantages and d...