A method of optimizing the dynamic model bank that is based on online learning is proposed in this paper.
提出一种通过在线学习优化动态模型库的方法。
At the same time dynamic model bank is applied to establish models bank without the prior system information. The closed-loop system stability and track error convergence asymptotically are proved.
应用动态模型库技术来建立多模型，并证明该算法能够保证闭环系统的稳定性和跟踪误差的渐近收敛性。
At the same time dynamic model bank is applied to establish models bank without the prior system information. The closed-loop system stability and track error convergence asymptotically are proved.
应用动态模型库技术来建立多模型，并证明该算法能够保证闭环系统的稳定性和跟踪误差的渐近收敛性。
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