基于离散时间Chen-Fliess级数的学习与模型控制
Combining Learning and Model Based Control via Discrete-Time Chen-Fliess Series
摘要：
提出了一种基于离散时间Chen-Fliess级数的仿射非线性对象的学习控制系统，该系统能够结合给定物理模型的知识。底层的非交换代数和组合结构需要实现多变量的情况下也进行了说明。使用一个两输入，两输出Lotka-Volterra系统的方法进行了演示。
英文摘要：
A learning control system is presented suitable for control affine nonlinear plants based on discrete-time Chen-Fliess series and capable of incorporating knowledge of a given physical model. The underlying noncommutative algebraic and combinatorial structures needed to realize the multivariable case are also described. The method is demonstrated using a two-input, two-output Lotka-Volterra system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
