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: In this paper, we present the design of a soft wearable exoskeleton that comprises of a glove embedded with pneumatic actuators of variable stiffness for hand assistive and rehabilitation ...

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: 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: 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: 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: In this paper, a discrete-time optimal control scheme is developed via a novel local policy iteration adaptive dynamic programming algorithm. In the discrete-time local policy iteration ...

Abstract: Time-varying formation tracking (TVFT) control problems for a team of unmanned aerial vehicles (UAVs) with switching and directed interaction topologies are investigated, where the follower ...

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 ...

Abstract: Semantic change detection (SCD) refers to the task of simultaneously extracting changed areas and their semantic categories (before and after the changes) in remote sensing images (RSIs).

Abstract: To address the issues of location accuracy in traveling wave (TW) network location methods, which are susceptible to clock synchronization errors and TW speed inaccuracies. We propose a TW ...

Abstract: Due to the importance of zero-shot learning, i.e., classifying images where there is a lack of labeled training data, the number of proposed approaches has recently increased steadily. We ...