Title :
A chemical reactor benchmark for adaptive control using U-model and NARMA-L2 techniques
Author_Institution :
King Fahd Univ. of Pet. & Miner., Dhahran
Abstract :
In this work we implement two recent non-linear adaptive control schemes on a continuous stirred tank reactor (CSTR). Namely we consider the U-Model Based nonlinear adaptive inverse model control (NAIMC) as well as the NARMA L-2 Control. We will put light on advantages of the proposed techniques as compared to previous works, especially [1]. Simulation results are given to support the approach.
Keywords :
adaptive control; chemical reactors; control system analysis; neurocontrollers; nonlinear control systems; open loop systems; NARMA-L2 technique; U-model technique; chemical reactor; continuous stirred tank reactor; neural networks; nonlinear adaptive inverse model control; open loop analysis; Adaptive control; Chemical reactors; Continuous-stirred tank reactor; Control systems; Neural networks; Nonlinear control systems; Nonlinear equations; Open loop systems; Polynomials; Programmable control; Adaptive Control; CSTR; NARMA-L2; Neural Networks; U-Model;
Conference_Titel :
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-6-2
Electronic_ISBN :
978-89-950038-6-2
DOI :
10.1109/ICCAS.2007.4406859
