A Data-Driven Fault Tolerant Control Of Singularly Perturbed Systems

A data-driven fault tolerant control for singularly perturbed systems is presented in this paper. It is founded on the data-driven full state observer and Youla controller parameterization. Based on the multiplex observer residual generator and the identification of the parity subspace, an extended internal model control (EIMC) structure is proposed and then the design of the parameters is given accordingly. Since the system is disturbed by faults, the controller proposed in this paper can accurately track the fault parameters. At last a numerical example is given to illustrate the feasibility and effectiveness of the method.