An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification. An Unscented Kalman Filter (UKF) algo...

The effect of operating conditions during molinate degradation by the defined mixed bacterial culture DC, previously described as able to mineralize molinate, was evaluated in a batch reactor. Parameters such as the rate of molinate degradation, the dissolved organic carbon (DOC) consumption and the accumulation of molinate degradation products were monitored along the culture growth. The effec...

This paper first describes the development of a nonparametric identification method for linear parameter-varying (LPV) state-space models and then applies it to a nonlinear process system. The proposed method uses kernel-based least-squares support vector machines (LS-SVM). While parametric identification methods require proper selection of basis functions in order to avoid overparametrization ...

This paper gives idea about design method for adaptive neural controller is proposed and it applied to the non-linear system Continuous stirred tank reactor CSTR. The investigating used in this designed tuned with process. To analyze performance of effect foot print uncertainty on controllers’ two various types algorithms namely state feedback control observer based are Radial basis function Ne...

Recent years have witnessed rapid advances in learnt video coding. Most algorithms solely relied on the vector-based motion representation and resampling (e.g., optical flow based bilinear sampling) for exploiting inter frame redundancy. In spite of great success adaptive kernel-based convolutions deformable convolutions) prediction uncompressed videos, integrating such approaches with rate-dis...

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...

The effects of organic loading rates (OLRs) on fermentative productions of hydrogen and ethanol were investigated in a continuous stirred tank reactor (CSTR) with attached sludge using molasses as substrate. The CSTR reactor with attached sludge was operated under different OLRs, ranging from 8 to 24 kg/m(3)·d. The H(2) and ethanol production rate essentially increased with increasing OLR. The ...