4 papers
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…
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…
Optimal path planning of multi-agent cooperative systems with rigid formation
Ananda Rangan Narayanan, Mi Zhou, Erik Verriest
In this article, we consider the path-planning problem of a cooperative homogeneous robotic system with rigid formation. An optimal controller is designed for each agent in such ri…
Finite-sample analysis of rotation operator under norm and norm
Mi Zhou
In this article, we consider a special operator called the two-dimensional rotation operator and analyze its convergence and finite-sample bounds under the norm and $l_\infty…