Hong Wang

TL;DR: The tight conjoining of and coordination between the computational resources including the integrated optimal operational control, embedded software, industrial cloud, wireless communication and the physical resources of FMF constitutes a cyber-physical system (CPS) based embedded optimal Operational control system.

TL;DR: In this article, a real-time control approach for a class of nonlinear unknown systems is presented, where all the involved nonlinear functions are online estimated by fuzzy logic units, using these online estimations, an adaptive nonlinear control algorithm is established which consists two loops, the inner loop and outer loop.

TL;DR: Two actuator fault diagnosis algorithms are developed for general known nonlinear systems where a nonlinear observer is proposed which detects and diagnoses the actuator faults via adaptive tuning rules and an adaptive diagnostic observer whose nonlinear functions can be approximated by their first order linearizations around the neighborhood of the observed state and the estimated faults.

TL;DR: It is found that the proposed detection system, based on PCA features and the cubic SVM classification algorithm, shows robustness as it obtains the highest accuracy, sensitivity and precision.

TL;DR: A survey of the recent developments on the research of stochastic distribution control systems will be made.