This manuscript presents a bibliographic review on fractional-order control laws applied to
robotics manipulators, robot vehicles, man-robot systems, as well as biologically inspired …

With the manipulator performs fixed-point tasks, it becomes adversely affected by external
disturbances, parameter variations, and random noise. Therefore, it is essential to improve …

In this article, an indirect adaptive iterative learning control (iAILC) scheme is proposed for
both linear and nonlinear systems to enhance the P-type controller by learning from set …

Recent advancement in vision‐based robotics and deep‐learning techniques has enabled
the use of intelligent systems in a wider range of applications requiring object manipulation …

Abstract This work demonstrates Automatic Generation Control (AGC) of two and three area
reheat thermal system with nonlinearities. A Two Degree of Freedom Optimal Fuzzy Aided …

In this paper, an adaptive model-free control method is designed to synchronize a class of
fractional-order neural networks which has a vast application in engineering and industry …

In this work, a fractional integral sliding-mode control scheme based on the Caputo–Fabrizio
derivative and the Atangana–Baleanu integral of the Stanford robot for trajectory tracking …

Robotic roller technology is important for ensuring the compaction quality and construction
efficiency of earth-rock dams, and its key challenge is related to path tracking control. The …

With the development of autonomous driving technology, some special vehicles should also
be developed into autonomous driving vehicles. The robotic vehicles are widely used in …

A fixed‐time fault‐tolerant control scheme based on sliding mode observer is proposed,
which makes the system more stable and stronger anti‐jamming ability. In our design, its …