Identification of a system and fault tolerant control system by RBF-ARX-sliding mode

Fault tolerant is increasingly important in modern industry, the ability to detect and tolerate system´s fault in way to continue performing designated task without immediate human intervention, to support these fault tolerant capability, methods of detecting and isolating failures must be perfected, although strong presence of many techniques to handle fault tolerant control system still to be not general to every complex system, those motivate us to suggest a technique that combine an RBF_ARX model to identify the system and its estimation parameters, with discrete time sliding mode control (DTSMC) system in way that its control law must run through the exact state vector and defining the sliding surface with respect to the tracking error, an illustrating example with co-simulation platform: Amesim & Matlab.