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: Large-scale integration of plug-in electric vehicles (PEVs) will impact the planning and operation of power systems. Accurately identifying PEVs serves as a crucial prerequisite for the ...
A KDB.AI MCP (Model Context Protocol) Server that enables interaction with KDB.AI through natural language for seamless vector database operations, vector similarity searches, hybrid search operations ...
A new data center campus, known as "Project Eisenhower," is planned for Augusta near Fort Gordon. The development is projected to be operational by the second quarter of 2026. While representing a $2 ...
This is the official repository for The Quest for Generalizable Motion Generation: Data, Model, and Evaluation. The repo provides a unified framework for generalizable motion generation, including ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback