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Novel algorithms for the synchronization control of nonlinear systems

机译:非线性系统同步控制的新算法

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摘要

We show how the design of repetitive learning controls, which typically require perfect knowledge of the period T characterizing the periodic reference signals to be tracked, can be generalized, through the design of novel recursive add-on period identifiers, to face sufficiently small period uncertainties in synchronization problems. Exponential period identification is achieved so that the asymptotic convergence properties guaranteed by the classical learning controls are preserved. Simulation results concerning multi-link robot synchronization tasks are included. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:我们展示了如何通过新颖的递归附加周期标识符的设计来概括通常需要对周期T有完美了解以表征要跟踪的周期性参考信号的重复学习控件的设计,以应对足够小的周期不确定性在同步问题。实现了指数周期识别,从而保留了经典学习控制所保证的渐近收敛性。包含有关多链接机器人同步任务的仿真结果。版权所有(c)2015 John Wiley&Sons,Ltd.

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