Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
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: The core of the freeway merging control problem lies in dynamic queue propagation and dissipation linked to merging vehicle behavior. Traditionally, queueing is modeled through demand-supply ...
Abstract: Crowdsourcing contests have become an important method for individuals and organizations to solve complex problems by obtaining innovative solutions from external participants. As the number ...
Image dehazing remains a critical persistent issue in visual computing due to the complex fidelity loss triggered by environmental scattering effects. Existing methods often struggle to balance local ...
Abstract: Battery degradation remains a major challenge for battery electric vehicles (BEVs). The integration of supercapacitors as a secondary energy source to extend battery lifespan has gained ...
For the Gopher defense it was another road letdown lack week against Iowa, but a quick turn in focus has the Gophers looking for win number six against Michigan State this Saturday. The win that would ...
Abstract: The cascaded multi-converter system that constitutes a power electronic transformer has input, intermediate and output stages, and the converters at all levels need to switch operating modes ...
Abstract: This article addresses the issue of multiple influences maximization under dynamic link strength (MIMDLS) in multi-agent systems (MASs). Initially, a novel model for dynamic link strength ...
Abstract: With the widespread use of large language models (LLMs) in natural language processing, traditional evaluation methods based on static datasets have become inadequate to fully capture their ...
Abstract: Recently, significant advancements have been made in 3D Gaussian Splatting SLAM for dynamic environments. However, most existing methods primarily address active dynamic objects, such as ...
Abstract: Traditional heterogeneous networks (HetNets) rely on auxiliary localization techniques, such as GPS and radio-frequency (RF) fingerprinting, to estimate active users per region during the ...
Abstract: Aiming at the problems that the multi-objective artificial physics optimization algorithm (MOAPO) is prone to fall into local optima and has poor distribution, a multi-objective artificial ...
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