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 ...

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: 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: 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: Spike camera is a neuromorphic sensor that can capture high-speed dynamic scenes by firing a continuous stream of binary spikes with extremely high temporal resolution, essentially forming a ...

In this tutorial, we explore the Advanced Model Context Protocol (MCP) and demonstrate how to use it to address one of the most unique challenges in modern AI systems: enabling real-time interaction ...

Fans need a program to know how to watch the Cleveland Cavs in the upcoming season, primarily because the team’s popularity and media rights deals with new partners NBC/Peacock and Amazon, as well as ...

Abstract: Dynamic modeling and control are critical for unleashing soft robots' potential, yet remain challenging due to their complex constitutive behaviors and real-world operating conditions.

Abstract: In this article, an unscented Kalman filter (UKF)-based multistep heuristic dynamic programming (MsHDP) optimal control algorithm is developed for nonlinear discrete-time (DT) systems with ...