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.
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Li, DJ., Liu, YJ. (2014). Adaptive Intelligent Control for Continuous Stirred Tank Reactor with Output Constraint. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_43
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DOI: https://doi.org/10.1007/978-3-319-12436-0_43
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