Fuzzy Cognitive Maps (FCMs) are widely used to simulate complex systems. However, they
cannot handle nonlinear relationships or time delays/lags, nor can they fully represent …

This paper provides a legged stable walking control strategy based on multi-sensor
information feedback about BIT-NAZA-II, a large load parallel hexapod wheel-legged robot …

Detecting faults in high-speed and high-power diesel engines under complex variable
operating conditions is highly challenging. Online vibration monitoring systems have been …

This work investigates the problem of fast tracking control for a class of high-order nonlinear
systems subject to the matched disturbances. More particularly, a novel practical fixed-time …

An interpretable regression model is proposed in this paper for stock price prediction.
Conventional offline neuro-fuzzy systems are only able to generate implications based on …

Servo systems driven by a permanent magnet linear synchronous motor (PMLSM) are often
affected by uncertain disturbances, such as magnetic resistance, friction, and external …

This paper proposes a new adaptive controller for three-wheeled mobile robots (3WMRs)
called the ABHSMC controller. This ABHSMC controller is developed through a cooperative …

Model nonlinearity, structured and unstructured uncertainties as well as external
disturbances are some of the most important challenges in controlling the wheel slip in …

This article seeks to develop the dynamic model of a mobile robot for controlling purposes
while the effects of uncertainties and longitudinal and lateral slip are assumed. The rise in …

Oversampling is a popular yet useful method to fulfill the binary classification of imbalanced
data, however many existing results of oversampling are very likely to generate …