Intelligent control has become a cornerstone of modern robotics and autonomous systems, where agents must operate safely and reliably despite uncertainty in ...

Criminal networks are often targeted with focused interventions to weaken their structure and disrupt operations. However, using empirical data from the Dutch National Police, we show that such ...

Abstract: This study focuses on the model reference adaptive tracking control problem for uncertain switched systems using a dynamic event-triggered approach. Compared with the existing studies, the ...

The brain represents information with neural activity patterns. At the periphery, these patterns contain correlations, which are detrimental to stimulus discrimination. We study the peripheral ...

Artificial Intelligence (AI) techniques have been applied in various teaching and/or learning platforms and will change teachers' teaching and students' learning behaviors. The AI-related techniques ...

Abstract: This paper develops a new partial-state feedback model reference adaptive control (MRAC) scheme, which has full capability to deal with plant uncertainties for output tracking and desired ...

Department of Intelligent System Engineering, Graduate School of Dong-eui University, Busan, South Korea. Department of Mechatronics Engineering, Dong-eui University, Busan, South Korea. The XY tables ...

Extensive evidence suggests that the human ability to adaptively implement a wide variety of tasks is preferentially a result of the operation of a fronto-parietal brain network (FPN). We hypothesized ...

The complete dynamics model of a four-Mecanum-wheeled robot considering mass eccentricity and friction uncertainty is derived using the Lagrange’s equation. Then based on the dynamics model, a ...

We live in an era of risk and instability. Globalization, new technologies, and greater transparency have combined to upend the business environment and give many CEOs a deep sense of unease. Just ...