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Adaptive Intelligent Control for Continuous Stirred Tank Reactor with Output Constraint

  • Dong-Juan Li
  • Yan-Jun Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8866)

Abstract

For a class of continuous stirred tank reactor with the output constraint and the uncertainties, an adaptive control approach is proposed based on the approximation property of the neural networks. The considered systems can be viewed as a class of pure-feedback systems. It is proven that all the signals in the closed-loop system are bounded and the system output is not violated by using Lyapunov stability analysis method. A simulation example is given to verify the effectiveness of the proposed approach.

Keywords

Continuous stirred tank reactor Adaptive control The neural networks Barrier Lyapunov function 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Chemical and Environmental EngineeringLiaoning University of TechnologyJinzhouChina
  2. 2.College of ScienceLiaoning University of TechnologyJinzhouChina

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