Title :
Conventional vs. RBF control of a benchmark process control problem
Author :
Doerschuk, Peggy Israel ; Sarrafian, Eric
Author_Institution :
Dept. of Comput. Sci., Lamar Univ., Beaumont, TX, USA
Abstract :
We compare the performance of a conventional PID controller with that of a radial basis function neural network controller on the simulated bioreactor benchmark problem. The simulated bioreactor is a difficult process to control because of its nonlinearity and because its optimal performance is close to an unstable region
Keywords :
biotechnology; neurocontrollers; nonlinear control systems; optimal control; process control; radial basis function networks; stability; three-term control; PID controller; RBF control; benchmark process control problem; nonlinearity; optimal performance; radial basis function neural network controller; simulated bioreactor; unstable region; Adaptive control; Benchmark testing; Bioreactors; Error correction; PD control; Pi control; Process control; Proportional control; Radial basis function networks; Three-term control;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.833405
