An adaptive event-based state estimation for coupled network with multiple fading measurement via partial nodes information
Na Lin, Dongyan Chen, Hairui Zhao · Journal of Physics Conference Series · 2024
Abstract The state estimation (SE) problem is explored for coupled complex networks (CNs) subjected to general nonlinearity and coupled nonlinearity, as well as multiple fading measurement phenomena. The phenomenon of multiple fading measurement means that the measurement fading occurs in a random manner and each sensor has a separate fading probability in the information transmission. An adaptive event triggering mechanism (ETM) with a time-varying threshold is introduced for adjusting the frequency of information transmission. A two-stage partial-nodes-based (PNB) state estimator is designed using partial nodes’ information to estimate all true states. The PNB estimator gain matrix is parameterized by optimizing the trace of the upper bound matrix of the estimation error covariance (UBMEEC). The monotonicity of the trace of the UBMEEC with respect to the fading probability is clarified. Finally, a numerical example demonstrates the effectiveness of the proposed two-stage PNBSE method.