This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …

Chaos is one of the most significant findings in physics and engineering. Fractional-order
chaotic systems are nonlinear systems with special features which, some of them include …

The main contribution of this study is to introduce a simple and effective deep learning
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …

Structured and unstructured uncertainties together with external disturbances may pose
considerable challenges in realizing desired path-tacking and lane kee** of autonomous …

Fractional order PID controller was received attentions in control problems for it had 2
freedom adjustable parameters. Practices had proved that better results could be obtained …

Due to the importance of consumed control energy in financial systems, employing an
optimal controller for these systems could be beneficial. Also, the presence of disturbances …

The human immunodeficiency virus (HIV), as one of the most hazardous viruses, causes
destructive effects on the human bodies' immune system. Hence, an immense body of …

This paper proposes a deep convolutional neural network (DCNN) based fractional-order
terminal sliding-mode (FOTSM) control strategy for tracking control of rigid robotic …

This article proposes a disturbance observer-based Sliding Mode Control (SMC) approach
for the robust synchronization of uncertain delayed chaotic systems. This is done by, first …

This paper proposes a novel robust path-following strategy for autonomous road vehicles
based on type-2 fuzzy PID neural network (PIDT2FNN) method coupled to an Extended …