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Orthogonal Stochastic Configuration Networks with Adaptive Construction Parameter for Data Analytics
As a randomized learner model, SCNs are remarkable that the random weights and biases are assigned employing a supervisory mechanism to ensure universal approximation and fast learning.
Optimal Tracking Control for Unknown Linear Systems with Finite-Time Parameter Estimation
This paper introduces this method to tracking problem for heterogeneous linear systems.
Robust Adaptive Safety-Critical Control for Unknown Systems with Finite-Time Element-Wise Parameter Estimation
On the one hand, it is shown that the proposed control scheme can always guarantee the safety in the identification process with noised signal injection excitation, which was not considered in the previous study.
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