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Artificial intelligence theory is extensively employed in fault diagnosis, as the frequently used technologies, expert system and neural network, have their inherent disadvantages that have poor expansibility and unknown blackbox structure. Genetic Programming (GP), an improved evolution algorithm based on Genetic Algorithm (GA), could offset these insufficient for its explicit structure. Combining...
Model predictive control (MPC) requires an explicit dynamic model to predict values of the output variable, so the accuracy of the model significantly affects the quality of control. Unfortunately, it's hard to obtain the explicit expression of unknown nonlinear systems in MPC applications. This paper describes the use of genetic programming (GP) to generate an empirical dynamic model of a process,...
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