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pro vyhledávání: '"Mustafa MUSTAFA"'
In this paper, we propose and demonstrate an adaptive-sliding mode control for trajectory tracking control of robot manipulators subjected to uncertain dynamics, vibration disturbance, and payload variation disturbance. Throughout this work we seek a
Externí odkaz:
http://arxiv.org/abs/2408.03102
Robot manipulators are often tasked with working in environments with vibrations and are subject to load uncertainty. Providing an accurate tracking control design with implementable torque input for these robots is a complex topic. This paper presen
Externí odkaz:
http://arxiv.org/abs/2408.03098
This paper studies the equilibrium formulation of a three degree of freedom planar compliant platform mechanism, which is in contact with a solid body in its environment. The mechanism includes two platforms, which are connected in parallel by three
Externí odkaz:
http://arxiv.org/abs/2408.02363
In heterogeneous scenarios where the data distribution amongst the Federated Learning (FL) participants is Non-Independent and Identically distributed (Non-IID), FL suffers from the well known problem of data heterogeneity. This leads the performance
Externí odkaz:
http://arxiv.org/abs/2407.05174
Smart meters play a crucial role in enhancing energy management and efficiency, but they raise significant privacy concerns by potentially revealing detailed user behaviors through energy consumption patterns. Recent scholarly efforts have focused on
Externí odkaz:
http://arxiv.org/abs/2405.18888
Autor:
Alqahtani, Eman, Mustafa, Mustafa A.
We propose a privacy-preserving billing protocol for local energy markets (PBP-LEM) that takes into account market participants' energy volume deviations from their bids. PBP-LEM enables a group of market entities to jointly compute participants' bil
Externí odkaz:
http://arxiv.org/abs/2404.15886
Autor:
Dong, Yi, Wang, Yingjie, Gama, Mariana, Mustafa, Mustafa A., Deconinck, Geert, Huang, Xiaowei
In the realm of power systems, the increasing involvement of residential users in load forecasting applications has heightened concerns about data privacy. Specifically, the load data can inadvertently reveal the daily routines of residential users,
Externí odkaz:
http://arxiv.org/abs/2402.01546
Autor:
Alqahtani, Eman, Mustafa, Mustafa A.
This paper proposes a zone-based privacy-preserving billing protocol for local energy markets that takes into account energy volume deviations of market participants from their bids. Our protocol incorporates participants' locations on the grid for s
Externí odkaz:
http://arxiv.org/abs/2307.08778
Autor:
Hutu, Andrei, Mustafa, Mustafa A.
Smart grids are being increasingly deployed worldwide, as they constitute the electricity grid of the future, providing bidirectional communication between households. One of their main potential applications is the peer-to-peer (P2P) energy trading
Externí odkaz:
http://arxiv.org/abs/2307.09618
This paper proposes a privacy-preserving and accountable billing (PA-Bill) protocol for trading in peer-to-peer energy markets, addressing situations where there may be discrepancies between the volume of energy committed and delivered. Such discrepa
Externí odkaz:
http://arxiv.org/abs/2307.04501