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Parameter convergence is of great importance as it enhances the overall stability and robustness properties of adaptive control systems. However, a stringent persistent-excitation (PE) condition usually has to be satisfied to achieve parameter convergence in adaptive control. In this paper, a least-squares learning control strategy without regressor filtering is presented to achieve parameter convergence...
Model regression is vitally important for performance prediction and quality control in the manufacturing industry. Since manufacturing machines always suffer from random disturbances and unobservable model shift/drift due to component failure and tool wear in the daily production, online model regression techniques are required by the manufacturers to help increase productivity and reduce quality...
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