J. Liu, Y. Zhang, W. Zhou (PRC), T. Hesketh, D.J. Clements, and R. Eaton (Australia)
Neural networks, fault-accommodation, corrective control law
An active fault accommodation control law is developed for a class of networked control systems to guarantee the closed-loop stability in the presence of a fault, based on a neural network representation of the dynamics due to faults. Applications of the proposed design indicate that the fault accommodation control law is effective for a typical nonlinear fermentation process.
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