Abstract: This paper proposes a maximum power point tracking (MPPT) algorithm for small-scale wind energy conversion systems. The proposed algorithm uses the dc current as the perturbing variable. The ...

Abstract: In this paper, an asymmetric bipartite consensus problem for the nonlinear multi-agent systems with cooperative and antagonistic interactions is studied under the event-triggered mechanism.

Abstract: In order to achieve high robustness and high-precision current control, this article proposes a disturbance correction observer based on repetitive control (RDCO) for deadbeat predictive ...

Abstract: Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to ...

Abstract: Proactive preparedness to cope with extreme weather events is significantly helpful in reducing the restoration cost and enhancing the resilience of distribution systems. This paper is ...

Abstract: The overdischarge can significantly degrade a lithium-ion (Li-ion) battery's lifetime. Therefore, it is important to detect the overdischarge and prevent severe damage of the Li-ion battery.

Abstract: Aerial manipulator, which is composed of an unmanned aerial vehicle (UAV) and a multilink manipulator and can perform aerial manipulation, has shown great potential of applications. However, ...

Abstract: Switchable low-profile broadband frequency rasorber/ absorber based on slot arrays is presented and investigated. First, an equivalent circuit model is proposed to synthesize a rasorber with ...

Abstract: The adaptive practical optimal time-varying formation tracking problems of the disturbed high-order multi-agent systems with a noncooperative leader are considered. Different from the former ...

Abstract: The production of renewable hydrogen using water electrolysis has emerged with the increasing penetration of renewable energy sources. The energy management system (EMS) plays a key role in ...

Abstract: Explainable artificial intelligence is beneficial in converting opaque machine learning models into transparent ones and outlining how each one makes decisions in the healthcare industry. To ...

Abstract: This article addresses the fixed-time fault- tolerant consensus control problem for high-order nonstrict-feedback nonlinear multiagent systems under directed topology. A distributed ...