Dear Editor, In this letter, the recursive fault estimation issue is considered for nonlinear time-varying systems subject to the effects induced by energy harvesting sensors and uniform quantization. Based on the energy harvesting mechanism and stochastic distribution of the absorbed energy, the real-time occurrence probability of missing measurements is calculated recursively. This research intends to develop a recursive estimator for the considered nonlinear time-varying system with energy harvesting sensors, such that, under uniform quantization effects, the state and fault can be jointly estimated. By adopting the induction approach, an upper bound is firstly calculated for the estimation error covariances (EECs) of the state and fault. Then, the value of the time-varying estimator parameter is computed through minimizing such calculated upper bound. In the end, an illustrative example is presented to verify the availability of the developed fault estimation method.

Yu-Ang Wang;Bo Shen;Lei Zou

College of Information Science and Technology,Donghua University,Shanghai 201620;Engineering Research Center of Digitalized Textile and Fashion Technology,Ministry of Education,Shanghai 201620,China

自动化学报（英文版）

[1]Yu-Ang Wang;Bo Shen;Lei Zou-.Recursive Fault Estimation With Energy Harvesting Sensors and Uniform Quantization Effects)[J].自动化学报（英文版）,2022(05):926-929

covariances

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