Abstract: In this brief, a task-oriented enhanced self-learning speed synchronization control method is proposed for flexible coupled dual-motor (FCDM) systems with unknown model parameters. Firstly, ...
Calling consciousness an "entropic engine" points to something psychologically obvious: selfhood costs energy. Maintaining a stable "me" model across time, contexts, and internal contradictions ...
For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...
In motor learning research, various whole-body movement tasks have been examined using a dynamical systems approach. Prior studies have highlighted that differences in learning strategies and ...
Abstract: Dynamic systems are commonly represented in local state space, emphasizing state evolution over time. However, this approach poses challenges in analysis, prediction, and control. A more ...
Copyright: © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. In the past three decades ...
SAN JOSE, Calif.--(BUSINESS WIRE)--Tula Technology, Inc., a leader in propulsion efficiency and developer of Dynamic Motor Drive® (DMD), will present the latest results of DMD, in conjunction with ...
The Scaffolding Theory of Maturation, Cognition, Motor Performance, and Motor Skill Acquisition (SMART COMPASS) provides a revised, integrative framework for understanding the dynamic relationship ...
Strengthens Quanta's Craft-Led Critical Path Capabilities and Front-End Services for the Growing Technology, Manufacturing and Other Load Center Markets; Critical Facilities Driving Power Demand ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min The 37-year-old Austin-based ...
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