Gate’s new private wealth management gives crypto investors institutional-level custody, full portfolio oversight, and ...
Abstract: To enhance the multi-target path planning and tracking performance of Unmanned Surface Vehicles (USVs), a combined control strategy integrating the Serret-Frenet Line-of-Sight (SFLOS) ...
From November 5 to December 15, 2025, Mars—the planet of action and desire—is setting the sign of Sagittarius ablaze, urging ...
Abstract: With the deep integration of power grid and transportation network, in order to improve the resilience of distribution network, a three-layer coordinated planning model of SOP and MESS is ...
Abstract: This article presents a predefined-time reliable control strategy with prescribed performance for tracking control of robotic systems with actuator faults and parametric uncertainties. A ...
Auburn scientists create materials that let researchers control free electrons, opening paths to faster computing and cleaner ...
Abstract: This paper presents a novel control strategy for the Coerbuoy1 point absorber wave energy converter (PAWEC) using a sliding mode controller (SMC) designed to maximize energy extraction while ...
Abstract: In this paper, the problem of energy efficient access point (AP) sleep control in user-centric cell-free massive MIMO (CFmMIMO) systems is investigated. The large-scale deployment of AP in ...
Abstract: The rapid development of the Internet of Things (IoT) has put great challenges on the next generation's communication technologies. Optical Camera Communication (OCC), with its advantages of ...
Abstract: Inverse reinforcement learning optimal control is under the framework of learner–expert, the learner system can learn expert system's trajectory and optimal control policy via a ...
Abstract: Numerous uncertainties in practical production and operation can seriously affect the drive performance of permanent magnet synchronous machines (PMSMs). Various robust control methods have ...
Workloads, system performance, and the need to continually learn and adapt are demolishing constraints that have made chip ...
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