This paper addresses the robust H∞ fuzzy control problem for nonlinear uncertain systems with state and input time delays through Takagi–Sugeno (T–S) fuzzy model approach. The delays are assumed to be interval time-varying delays, and no restriction is imposed on the derivative of time delay. Based on Lyapunov–Krasoviskii functional method, delay-dependent sufficient conditions for the existenc...

The paper suggests a Takagi Sugeno (TS) fuzzy logic controller (FLC) designed to stabilize the Lorentz chaotic systems. The stability analysis of the fuzzy control system is performed using Barbashin-Krasovskii theorem. This paper proves that if the derivative of Lyapunov function is negative semi-definite for each fuzzy rule then the controlled Lorentz system is asymptotically stable in the se...

In this paper, Generalized Predictive Control (GPC) based on a Fuzzy Logic model is illustrated. The control technique is then applied to a selected nonlinear application to show the performance of the Fuzzy-Based Generalized Predictive Control (FGPC). The results of the presented FGPC method are compared with standard GPC and Proportional-Integral-Derivative Control (PID). The results revealed...

Proportional-integral-derivative (PID) structured controller is the most popular class of industrial control but still could not be appropriately exploited in fuzzy systems. To gain the practicability and tractability of fuzzy systems, this paper develops a parameterized bilinear matrix inequality characterization for the H∞ fuzzy PID control design, which is then relaxed into a bilinear matrix...

This paper proposes developed method to design a digital fuzzy logic controller with the aid of conventional Proportional – integral – derivative (PID) controller using field programmable gate array (FPGA). The method used to design a PID Fuzzy Logic controller is to design it as Proportional – derivative Fuzzy Logic controller (PDFLC) and Proportional –integral fuzzy logic controller (PIFLC) c...

The present research correlates with a fuzzy hybrid approach merged homotopy perturbation transform method known as the Shehu (SHPTM). With aid of Caputo and Atangana–Baleanu under generalized Hukuhara differentiability, we illustrate reliability this scheme by obtaining fractional Cauchy reaction–diffusion equations (CRDEs) initial conditions (ICs). Fractional CRDEs play vital role in diffusio...

The objective of the proposed work is to investigate the performance of hybrid self tuned fuzzy proportional integral derivative (STFPID) controller for brushless DC (BLDC) motor drive. The proposed hybrid STFPID controller includes a proportional integral derivative (PID) controller at steady state, a PID type self tuned fuzzy logic (FL) controller (STFLC) at transient state thereby combining ...

This paper studies the leader-follower formation control for multiple quadrotors. Two controllers are used. The first one is a proportional derivative controller used to ensure the tracking of the leader to the desired trajectory, while the second is based on fuzzy logic in order to achieve the desired formation in ! − ! plane with equal height (!) for all follower quadrotors. In order to ensur...

Image segmentation is one of the most important tasks to extract information in image processing. To satisfy increasing requirement of image segmentation, a variety of segmentation methods have been developed over the past several years. Fuzzy c-means (FCM) is unsupervised segmentation technique that has been successfully applied to future analysis, clustering, and classification but the FCM an...

In this paper, we propose an observer-based fuzzy adaptive control scheme for a class of multiple-input-multiple-output (MIMO) nonlinear non-affine systems with uncertainty and unknown state derivative. The proposed approach combines the recurrent-type fuzzy logic system (RFLS) and nonlinear observer to deal with the tracking control problem. It adopts the RFLS to approximate nonlinear unknown ...