The era of artificial neural network (ANN) began with a simplified application in many fields
and remarkable success in pattern recognition (PR) even in manufacturing industries …

This paper provides a brief overview on the recent advances of small-scale unmanned
aerial vehicles (UAVs) from the perspective of platforms, key elements, and scientific …

This study addresses the path-tracking control issue of autonomous vehicles (AVs) when the
GPS measurement is temporarily unavailable. In such a case, the vehicle states, location or …

In this paper, the complex problems of internal forces and position control are studied
simultaneously and a disturbance observer-based radial basis function neural network …

This paper presents an accurate, fast, and robust path-following control approach for four-
wheel independently actuated (FWIA) autonomous vehicles via integrated control of the …

This paper investigates the path-following control problem for four-wheel independently
actuated autonomous ground vehicles through integrated control of active front-wheel …

This paper proposes a combination of finite-time robust-tracking theory and composite
nonlinear feedback approach for the finite-time and high performance synchronization of the …

In this article, a composite disturbance rejection control method is proposed for attitude
control of quadrotor using an inner-outer loop control framework, which can effectively …

AfterasurveypaperbyUtkininthelate1970s, slidingmodecontrolmeth-ologies emerged as an
e? ective tool to tackle uncertainty and disturbances which are inevitable in most of the …

This paper proposes a combination of composite nonlinear feedback and integral sliding
mode techniques for fast and accurate chaos synchronization of uncertain chaotic systems …