Abstract: The usage of large amounts of data has an immense potential for global economic growth and the competitiveness of countries with high technological standards. Vast amounts of data from ...

Abstract: The use of persistently exciting data has recently been popularized in the context of data-driven analysis and control. Such data have been used to assess system-theoretic properties and to ...

Abstract: Near-field magnetic wireless systems have distinct advantages over their conventional farfield counterparts in water-rich environments, such as underwater, underground, and in biological ...

Abstract: Sea surface temperature (SST) serves as a crucial ancillary input field to the retrieval algorithm for sea surface salinity (SSS) from L-band satellite radiometers, such as Soil Moisture and ...

Abstract: Wireless power transfer (WPT) technvvology can be employed for the wireless charging of unmanned underwater vehicles. However, in an underwater WPT (UWPT) system, the eddy current loss (ECL) ...

Abstract: Self-driving vehicles are a maturing technology with the potential to reshape mobility by enhancing the safety, accessibility, efficiency, and convenience of automotive transportation.

Abstract: The estimating of the Tolles-Lawson model's coefficients plays an important role in aeromagnetic compensation. The directional cosines, which are indispensable for estimating the ...

Abstract: During the past several years, there have been increasing research activities in the field of stability analysis and switching stabilization for switched systems. This paper aims to briefly ...

Abstract: The event-triggered predefined-time output feedback control problem is considered for fractional-order nonlinear systems (FONSs) with input saturation. The controlled plant contains unknown ...

Abstract: Time-varying formation tracking analysis and design problems for second-order Multi-Agent systems with switching interaction topologies are studied, where the states of the followers form a ...

Abstract: Short-term forecasting of multienergy loads is of paramount significance for integrated energy systems operation. The central forecasting framework is confronted with the privacy disclosure ...

Abstract: This paper investigates the consensus with connectivity maintenance problem based on the distributed model predictive control (DMPC). To solve such connectivity-maintaining consensus problem ...