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As one of the most important parts in the operation and management of modern metropolis, distributed water supply networks is directly related to the residents' quality of life. Water demand forecast, as a classic problem in water management, is an efficient method to schedule urban water facilities. In this research, a multi-scale method based on Empirical Mode Decomposition (EMD) and a dynamic architecture...
In this paper, a new neural network enhanced synchronized control approach is proposed for multiple robotic manipulators systems (MRMS) based on the leader–follower network communication topology. The justification of introducing two adaptive Radial Basis Function Neural Networks (RBF NN), also called neuro-agents, is to facilitate the whole control system design and analysis. Otherwise such design...
A data-driven neural network based approach for model predictive control performance diagnosis was proposed. Considering four common MPC degradation factors, namely noise variance change, model mismatch, control variables constraint saturation, and manipulated variables constraint saturation, MPC performance patterns were divided into four categories. Performance signatures are extracted from the...
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