In the past few years,significant progress has been made in modeling and state estimation for industrial processes to improve control performance,reliable monitoring,quick and accurate fault detection,diagnosis,high p...
financially supported by the National Natural Science Foundation of China(Grant No.61772240;No.51961125102);the 111 Project(B12018).
Crop coverage(CC)is an important parameter to represent crop growth characteristics,and the ahead forecasting of CC is helpful to track crop growth trends and guide agricultural management decisions.In this study,a no...
supported by the National Natural Science Foundation of China(Nos.61991402,62073154);the 111 Project(B12018);the Scientific Research Cooperation and High-Level Personnel Training Programs with New Zealand(1252011004200040).
In this paper,a self-triggered consensus filtering is developed for a class of discrete-time distributed filtering systems.Different from existing event-triggered filtering,the self-triggered one does not require to c...
funded by the National Natural Science Foundation of China(No.61773182);the 111 Project(B12018).
This paper studies the parameter estimation problems of the nonlinear systems described by the bilinear state space models in the presence of disturbances.A bilinear state observer is designed for deriving identificat...