Data‐driven integral terminal sliding mode fault‐tolerant control for a collection of discrete‐time nonlinear systems

Abstract The manuscript proposes a data‐based integral terminal sliding mode control approach to determine fault‐tolerant (FTC) concerning class of discrete‐time nonlinear systems (DTNS) containing sensor fault. proposed scheme can be readily implemented because it purely utilizes the input and output data system employ model called compact form dynamic linearization (CFDL) model, while one‐step forward approximator is employed estimate fault function term in system. Moreover, diagnosis mechanism time‐varying threshold with prescribed performance judge whether occurs. Hence, problem standard fixed used at start‐up state resolved. Then, (DITSM‐FTC) method proposed. Concurrently, sturdiness assured by hypothetical investigation. When compared literature, fundamental features are presented as follows: (1) pertinent utilizing data‐driven resolved; (2) proposed, (3) one step utilized devise an estimation detection. Finally, efficacy running simulations.