Towards Federated Large Language Models: Motivations, Methods, and Future Directions
Large Language Models (LLMs), such as LLaMA and GPT-4, have transformed the
paradigm of natural language comprehension and generation. Despite their impressive …
paradigm of natural language comprehension and generation. Despite their impressive …
Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case observational perturbations
Despite the substantial advancements in reinforcement learning (RL) in recent years,
ensuring trustworthiness remains a formidable challenge when applying this technology to …
ensuring trustworthiness remains a formidable challenge when applying this technology to …
Priority-driven multi-objective model predictive control for integrated motion control and energy management of hybrid electric vehicles
The integrated motion control and intelligent energy management problems of hybrid
electric vehicles (HEVs) can be divided into the sub-problems of fuel consumption …
electric vehicles (HEVs) can be divided into the sub-problems of fuel consumption …
Motion State Estimation of Preceding Vehicles With Packet Loss and Unknown Model Parameters
Intelligent connected vehicles can perform better decision making and path planning tasks
when they obtain the accurate motion state of preceding vehicles. In this article, an event …
when they obtain the accurate motion state of preceding vehicles. In this article, an event …
Fundamental Estimation for Tire Road Friction Coefficient: A Model-based Learning Framework
Accurate tire-road friction coefficient (TRFC) is crucial for enhancing both the motion
performance and safety of vehicles. In this article, a model-based learning approach …
performance and safety of vehicles. In this article, a model-based learning approach …
Intelligent EV Charging Control and Management: From Microscale Battery Cell to Macroscale Grid Synergy
The rapid increase in electric vehicle (EV) use highlights the need for advanced charging
infrastructure and strategies. This survey offers an in-depth exploration of EV charging …
infrastructure and strategies. This survey offers an in-depth exploration of EV charging …
A new variable step fuzzy logic control technique for minimum emission point tracking of ship microgrid
The emission reduction and electrical active power control of ships in ports have a lot of
challenges due to the lack of shore power and satisfied regulations. This paper proposes a …
challenges due to the lack of shore power and satisfied regulations. This paper proposes a …
[HTML][HTML] A robust control framework for multi-agent systems under Byzantine attacks using hybrid event-triggered techniques
This paper addresses the shortcomings of existing leader-following consensus approaches
in multi-agent systems, particularly their vulnerability to Byzantine attacks and inefficiencies …
in multi-agent systems, particularly their vulnerability to Byzantine attacks and inefficiencies …
A fast predictive control method for vehicle path tracking based on a recurrent neural network
X Wu, L Lin, J Chen, S Du - IEEE Access, 2024 - ieeexplore.ieee.org
The paper introduces a Fast Model Predictive Control (FMPC) approach for vehicle path
tracking, addressing the challenge of real-time performance in highly nonlinear systems …
tracking, addressing the challenge of real-time performance in highly nonlinear systems …
Incomplete information-based resilient strategy design for cyber-physical systems under stochastic communication protocol
H Yuan, Y Yuan, Y Zhong, Y **a - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this article, a novel resilient control strategy is proposed for a jammed cyber-physical
system (CPS) with multiple transmission channels. In the presence of jamming attacks, the …
system (CPS) with multiple transmission channels. In the presence of jamming attacks, the …