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The use of Fault Tolerant Control (FTC) strategies provides alternatives for control loops in presence of faults by exploring physical and analytical redundancies available in the process. Therefore, the use of FTC techniques is essential to adequate industrial control systems concerning availability and reliability while preserving the closed-loop system performance. In this paper, we propose the extension of the fault-hiding approach for the control reconfiguration to a dynamic optimization problem in order to incorporate system constraints. This method uses the concepts of the virtual actuator and a moving horizon framework extending the original control reconfiguration problem to a quadratic programming problem. A multivariable neutralization process subjected to communication loss between the master controller and the final control elements is used as an example to analyze and demonstrate the performance of the proposed approach.

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