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Partial least squares (PLS) regression is a versatile modeling approach for high-dimensional data analysis. Recently, PLS-based variable selection has attracted great attention due to high-throughput data reduction and modeling interpretability. In this paper, a class of variable selection methods for PLS, which employs marginal screening approaches to select relevant variables, is proposed. The proposed...
Predictive control based on mixed logical dynamical (MLD) model can be used as control strategy for hybrid systems effectively. Active fault tolerant control can safeguard the systems running normally, in the case of the damage of the part components in the systems. In this paper, active fault tolerant control based on MLD model is researched with actuator fault. Active fault tolerant control scheme...
The Anand constitutive model has emerged as a popular method to describe the inelastic deformation behavior of Sn-Pb solders and, more recently, to describe the behavior of lead-free solders in electronic assemblies, mainly due to its effective description of constitutive behavior and high compatibility with finite element modes. Heretofore, although plenty of experimental and theoretical works have...
Model predictive control based on mixed logical dynamical model can deal with the nolinear effectively,avoid oscillation of subsystem switching, get better control effect. But the mixed integer quadratic programming problem caused by the logic variable leads to computation complexity and long resolving time, it is hard to meet the requirement of real-time. In this paper, logic variable in the optimal...
Customer churns analysis and predication is an important part of customer relationship management (CRM). Because of the discrepancy of collecting channel and data gathering, raw customer data have imprecise, unbalanced and high dimensional characteristics, which degrade model performance. Customer retention and customer acquisition are two supports which have great influences on the bottom line compared...
In this paper, the particle swarm optimization (PSO) algorithm and genetic algorithm (GA) are employed to optimize the parameters of PID algorithm in order to improve the performance of PID control system. Moreover, we propose the grey model based on grey system theory to combine with PID control to establish the PID prediction control system. The proposed control system can realize the accurate control...
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