Title :
Constrained predictive control using neural network
Author :
Li, Junyi ; Xu, Xiaoming ; Xi, Yugeng
Author_Institution :
Dept. of Automatic Control, Shanghai Jiao Tong Univ., China
Abstract :
Efficient control algorithms are important for industrial processes with constraints. The presence of constraints often results in nonlinear optimization problems which are difficult to solve online. A constrained neural predictive controller is presented, in which the internal dynamics of the neural network will drive the states of neurons to their steady states just corresponding to the constrained predictive control law. The structure of the computer control system with the neural predictive controller is also investigated
Keywords :
control system synthesis; neural nets; predictive control; computer control system; constrained predictive control; control algorithms; industrial processes; internal dynamics; neural network; neural predictive controller; nonlinear optimization problems; Automatic control; Computer networks; Constraint optimization; Control systems; Industrial control; Neural networks; Neurons; Predictive control; Process control; Steady-state;
Conference_Titel :
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location :
Xian
Print_ISBN :
0-7803-0042-4
DOI :
10.1109/ISIE.1992.279574
