Abstract: Dear Editor, This letter deals with the consensus of positive multi-agent systems (PMASs). A consensus protocol is proposed by introducing a finite ...

Abstract: The increasing demand for programming education and growing class sizes require immediate and personalized feedback. However, integrating Large Language Models (LLMs) like ChatGPT in ...

Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...

Abstract: Trust is one of the crucial factors influencing the performance and safety of human-vehicle co-driving system. The evolution mechanism of human-vehicle trust is studied in this work, and a ...

Abstract: A System of Systems (SoS) must adapt to changing environments while supporting the dynamic integration of heterogeneous constituent systems. This evolutionary characteristic presents ...

Abstract: Trust is a critical issue in the field of human-vehicle interaction. In order to improve the efficiency of co-driving system while ensuring the safety and comfort of autonomous vehicles (AVs ...

Abstract: System-Level Test (SLT) has been an integral part of integrated circuit test flows for over a decade and continues to be significant. Nevertheless, there is a lack of systematic approaches ...

Abstract: This paper addresses the optimal control problem for a class of nonlinear systems that present significant challenges due to state constraints, unmodeled dynamics, and a nonstrict feedback ...

Abstract: In this paper, the bias-policy iteration (bias-PI) based adaptive dynamic programming for first-order fully actuated systems is considered. By exploiting the fully actuated property, the ...

Microsoft and Linux are adding AI and Rust to their pipelines. Microsoft is leaning much harder into AI development than Linux. Both are expanding Rust, but neither OS will be fully Rust soon.

Abstract: This article investigates the leader-follower consensus for nonlinear multiagent systems (MASs) and proposes an adaptive dynamic programming (ADP)-based hierarchical Stackelberg-Nash optimal ...