TY - JOUR ID - 6293 TI - Adaptive Predictive Controllers Using a Growing and Pruning RBF Neural Network JO - Iranian Journal of Chemistry and Chemical Engineering JA - IJCCE LA - en SN - 1021-9986 AU - Jafari, Mohammad Reza AU - Salahshoor, Karim AD - Department of Automation and Instrumentation, Petroleum University of Technology, Tehran, I.R. IRAN Y1 - 2011 PY - 2011 VL - 30 IS - 2 SP - 125 EP - 138 KW - Neural Networks KW - On-line identification KW - Adaptive control KW - Model-Based Predictive Control KW - CSTR DO - 10.30492/ijcce.2011.6293 N2 - 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) algorithm with an exponential time-varying forgetting factor has been presented to enable the neural network model to track any time-varying process dynamic changes. An adaptive NMPC has been designed based on the sequential quadratic programming technique. The paper makes use of a dynamic linearization approach to extract a linear model at each sampling time instant so as to develop an adaptive LMPC. The servo and regulating performances of the proposed adaptive control schemes have been illustrated on a non-linear Continuous Stirred Tank Reactor (CSTR) as a benchmark problem. The simulation results demonstrate the capability of the proposed identification strategy to effectively identify compact, accurate and transparent model for the CSTR process. It is shown that the proposed adaptive NMPC controller presents better improvement with faster response time for both servo and regulatory control objectives in comparison with the proposed adaptive LMPC, an adaptive generalized predictive controller based on Recursive Least Squares (RLS) algorithm and well-tuned PID controllers.   UR - https://ijcce.ac.ir/article_6293.html L1 - https://ijcce.ac.ir/article_6293_0261dd5ed36985ef55a1e4c25f8d31d2.pdf ER -