Adaptive Neural-Network Control Design for Uncertain CSTR System with Unknown Input Dead-Zone and Output Constraint-Reference-Cited by-同舟云学术

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Adaptive Neural-Network Control Design for Uncertain CSTR System with Unknown Input Dead-Zone and Output Constraint

Published:2020-09-30 Issue: Volume: Page:477-491
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Nassira Zerari,Mohamed Chemachema

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6403-1_33

Reference22 articles.

1. Alvarez-Ramirez J, Femat R (1999) Robust PI stabilization of a class of chemical reactors. Syst Control Lett 38(4–5):219–225

2. Pérez M, Albertos P (2004) Self-oscillating and chaotic behaviour of a PI-controlled CSTR with control valve saturation. J Process Control 14(1):51–59

3. Viel F, Jadot F, Bastin G (1997) Robust feedback stabilization of chemical reactors. IEEE Trans Automatic Control 42(4):473–481

4. Antonelli R, Astolfi A (2003) Continuous stirred tank reactors: easy to stabilise? Automatica 39(10):1817–1827

5. Biagiola SI, Figueroa JL (2004) A high gain nonlinear observer: application to the control of an unstable nonlinear process. Comput Chem Eng 28(9):1881–1898

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model Reference Adaptive Control and Neural Network-Based Concentration Control of CSTR;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

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