1 citations · 1 across the 4 of their papers we have counts for
Showing eess.SYShow all
2 papers · 1 filter
eess.SY2023★ 1 cited
Finite Horizon Multi-Agent Reinforcement Learning in Solving Optimal Control of State-Dependent Switched Systems
Mi Zhou, Jiazhi Li, Masood Mortazavi +2
In this article, a \underline{S}tate-dependent \underline{M}ulti-\underline{A}gent \underline{D}eep \underline{D}eterministic \underline{P}olicy \underline{G}radient (\textbf{SMADD…
eess.SY2023
Data-Driven Newton Raphson Controller Based on Koopman Operator Theory
Mi Zhou
Newton-Raphson controller is a powerful prediction-based variable gain integral controller. Basically, the classical model-based Newton-Raphson controller requires two elements: th…