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In the decentralized control strategy, a MPC-EPSAC (Extended Prediction Self-Adaptive Control) approach is used to predict the changes in the inventory position levels.
extended prediction error.
The performance of the EPSAC (Extended Prediction Self-Adaptive Control) controller was tested using different scenarios.
In our previous work on cooperative prediction [93], we extended prediction error performance analysis for HMM predictors [83].
An extended prediction self-adaptive control (EPSAC) approach to the multi-step predictor is implemented in the development of MPC formulation.
In particular, the methods referred as the parallel adaptation RLS algorithm (PA-RLS) and extended prediction error RLS-based algorithm (EPE-RLS) have a good adaptability in non-stationary situations [9 13].
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Therefore, W-SAS-MP can be an appropriate tool for enhancing daily rainfall prediction accuracy and extend prediction lead time.
This paper addresses the complex issues involved extending prediction intervals for inspection and maintenance of electrical protection equipment on manufacturing lines.
With only a single adaptive GP, it is computationally efficiently possible to extend prediction capabilities of polynomial and sinusoidal FIR predictors beyond their design input signal models, i.e., beyond polynomial input signals, or nominal design frequencies, respectively.
In this study, two methods called combined season-multilayer perceptron (SAS-MP) and hybrid wavelet-season-multilayer perceptron (W-SAS-MP) were developed to enhance prediction accuracy and extend prediction lead time of daily rainfall up to 5 days by using data from two stations in Turkey.
As a result, it extends prediction coverage compared to strictly local techniques.
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