This paper presents an explorative work about a Model Predictive Control (MPC) technique. A nonlinear model predictive controller was designed and applied to a fedbatch bioprocess. First, bioprocess and its model are described. Then, a controller based in a nonlinear MPC scheme (Dual Fuzzy Model Predictive Control DF-MPC) is proposed with the aim to test the control of substrate concentration i...

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...

this paper presents a theoretical approach to implementation of the “multi-realization of nonlinear mimo systems”. this method aims to find state-variable realization for a set of systems, sharing as many parameters as possible. in this paper a special nonlinear multi-realization problem, namely the multi-realization of feedback linearizable nonlinear systems is considered and an algorithm for ...

The performance of a Model Predictive Control (MPC) algorithm depends on the quality of the derived model. Using a divide-and-conquer strategy process operations were partitioned into several operating regions and within each region, a local linear model was developed to model the process. This set of locally linearized models was simply and effectively combined into a global description of a m...

A nonlinear predictive control technique is developed to determine the optimal drying profile for a drying process. A complete nonlinear model of the baker's yeast drying process is used for predicting the future control actions. To minimize the difference between the model predictions and the desired trajectory throughout finite horizon, an objective function is described. The optimization pro...

Tian Zhongda, Li Shujiang, Wang Yanhong, Zhang Chao College of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China Corresponding author: Tian Zhong-da,Email:[email protected] Abstract: In order to improve control performance of nonlinear systems, a predictive control method based on improved free search algorithm and least square support vector machi...