Fault detection for non-linear system with unknown input and state constraints

摘要: This study extends the problem of fault detection (FD) for linear discrete-time systems with unknown input to non-linear systems. Moreover, based on physical consideration, constraints state are considered. A recursive filter is developed where constrained and interconnected. Constraints which can improve quality estimation imposed individual updated sigma points as well state. The advantage algorithm that it able incorporate arbitrary states during procedure. Unknown be any signal obtained by least-squares unbiased transformed into a standard unscented Kalman problem. By testing mean innovation process, real-time FD approach proposed. Simulations provided demonstrate effectiveness theoretical results.