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Moreover, the adaptation law of online parameters in the recurrent Laguerre orthogonal polynomials NN is originated from Lyapunov stability theorem.
Moreover, the adaptation law of online parameters in the recurrent Laguerre orthogonal polynomial NN is based on the Lyapunov stability theorem.
In the online phase, the particle filter algorithm is used to perform online parameters estimation of the degradation model and predict the Remaining Useful Life (RUL) of MEMS.
By estimating the bound of output weight vector, a novel back-stepping design is presented where less online parameters are required to be tuned.
The adjustment of these two online parameters in real-time can result in an increased potential for production yield; however, a nontrivial optimization problem with a large solution space also arises.
Moreover, by applying the minimal learning parameter technique, the number of the online parameters update for each subsystem is reduced to 2. Hence, the semi-globally uniformly ultimately boundedness (SGUUB) of all the closed-loop signals with appropriate tracking error convergence is guaranteed.
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Therefore, an online parameter identification strategy is proposed to track the parameters deviation.
Then the model equations are built and the model parameters are identified with an online parameter identification method.
Recent advances in computational power have allowed the use of online parameter estimation techniques in various applications.
Online parameter tuning and implementation of optimal energy management in a real vehicle will be conducted in the future.
In this paper, Self-Adaptive Learnisg Bat-inspired Optimization algorithm is used for solving both offline and online parameter estimation problems for this chaotic system.
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