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This paper presents a Model Identification scheme for a class of nonlinear dynamic systems. A novel Grey-Box Neural Network Model (GBNNM), including Multi-Layer Perception (MLP) Neural Network (NN) and integrators, is proposed to approximate both the nonlinearity and dynamics of the object system. A self-defined exciting strategy is introduced into NN training to improve its generalization ability...
This paper presents a parameter estimation and residual life prediction method for a system subject to condition monitoring. We suppose the deterioration process of a system is evolving according to a continuous-time homogeneous Markov chain, including unobservable good state 0 and warning state 1 and observable failure state 2. Multivariate observations which are stochastically related to the system...
This paper researches the optimization of inventory system with discrete time, single product and single period under uncertainty environment. The aim is to analyze the impact of the alterability of the initial storage, production batch, output and need on system optimal policy and optimum cost. According to random order, we put forwards the random comparison result of optimal inventory and optimum...
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