Abstract: Energy security is essential to ensure that energy is always available, affordable, and socially acceptable. To realize these aspects, this paper presents a design and business model for ...
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: This paper presents the bias-policy iteration, a modified adaptive dynamic programming method, to achieve optimal control design of discrete-time nonlinear systems. Firstly, the formulation ...
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 ...
Playbooks is a programming language, a stable semantic intermediate representation (PBAsm), and a runtime for building and running AI agents. It treats large language models as semantic execution ...
Abstract: Redundancy actuation systems are widely applied in the fields of aviation and aerospace. This paper establishes a nonlinear dynamic model of the dual-redundancy actuation system driven by ...
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 ...