2021
DOI: 10.1007/s40998-021-00434-9
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Stability Analysis Strategy for the Adaptive Neural Control System: A Practical Validation Via a Transesterification Reactor

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Cited by 4 publications
(3 citation statements)
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“…The activation of emulator neurons evolves according to equation (1) (Farhat et al, 2021; Rabab et al, 2022)…”
Section: An Nementioning
confidence: 99%
See 1 more Smart Citation
“…The activation of emulator neurons evolves according to equation (1) (Farhat et al, 2021; Rabab et al, 2022)…”
Section: An Nementioning
confidence: 99%
“…In the presence of disturbances or unmodeled dynamics, recent results show that the NN technique could be very effective in system identification and control. In this context, due to its global minimum solution ability, Lyapunov stability theory (LST) has been, recently, used to train the parameters of NNs (Alshareefi et al, 2021;Farhat et al, 2021). Several advanced research works have been conducted in developing new learning algorithms that are derived using the LST (Kumar et al, 2017(Kumar et al, , 2018.…”
Section: Introductionmentioning
confidence: 99%
“…The model was validated with data from the literature, and two controllers for the temperature of the process were proposed: one for the closed-loop system, and a proportional-integral controller (PI) generating fast and stable responses in the stationary state. Other types of controllers have been developed, such as the proposal in [24], in which a neural controller was combined with a fuzzy adaptability rate for network training, improving both the response time and precision. A neural controller was introduced in [25], applying the particle swarm optimization (PSO) to change the responsiveness rate of the controller, reducing the time to find the optimal responsiveness rate of the controller.…”
Section: Introductionmentioning
confidence: 99%