Title :
Adaptive nonlinear control of continuously stirred tank reactor systems
Author :
Zhang, T. ; Guay, M.
Author_Institution :
Dept. of Chem. Eng., Queen´´s Univ., Kingston, Ont., Canada
Abstract :
Adaptive nonlinear control is investigated for a class of continuously stirred tank reactor (CSTR) system. The CSTR plant under study belongs to a class of general nonlinear systems, and contains an unknown parameter that enters the model nonlinearly. Using adaptive backstepping and neural network (NN) approximation techniques, an alternative adaptive NN controller is developed that achieves asymptotic output tracking control. Both stability and control performance analysis of the closed-loop adaptive system are based on Lyapunov´s stability techniques
Keywords :
Lyapunov methods; adaptive control; asymptotic stability; chemical technology; closed loop systems; feedback; neurocontrollers; nonlinear control systems; process control; CSTR plant; Lyapunov stability techniques; adaptive backstepping; adaptive nonlinear control; alternative adaptive NN controller; asymptotic output tracking control; chemical process control systems; closed-loop adaptive system; continuously stirred tank reactor systems; control performance analysis; general nonlinear systems; neural network approximation techniques; stability; unknown parameter; Adaptive control; Backstepping; Continuous-stirred tank reactor; Control systems; Inductors; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Stability analysis;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945898
