An adaptive multi-step compensation-based robust model predictive control (RMPC) method is proposed to address the issues of poor control precision of outlet temperature and large fluctuations in cold hydrogen flow in diesel hydrotreating reactors. First, the system model is described as a gray-box model composed of a...
Wei-Zhen Wang, Hui-Yuan Shi, Bo Peng et al.· IEEE Transactions on Automat...· 0 citations
This paper investigates the trajectory-tracking control problem for manipulators subject to stochastic payload variations and composite disturbances. The manipulator dynamics are modeled as a Markov jump system to capture random mode switching. To ensure high-precision tracking, a novel reinforcement learning (RL)-base...
Dan Li, Hua-Guang Zhang, Yang Cui et al.· IEEE Transactions on Automat...· 0 citations
Safe trajectory tracking for nonlinear stochastic systems operating in obstacle-cluttered environments remains a significant challenge, as random disturbances and obstacle-induced constraints can simultaneously degrade tracking accuracy and threaten system safety. To overcome this issue, this article develops a safety-...
Lu-Lu Zhang, Hua-Guang Zhang, Xiao-Hui Yue et al.· IEEE Transactions on Cyberne...· 0 citations
This paper investigates the secure fault estimation (FE) and fault-tolerant control (FTC) problems for Markov jump systems (MJSs) under limited communication resource. First, a dynamic event-triggered mechanism (ETM) is introduced into the sensor-observer channel to alleviate communication burden. Simultaneously, to en...
Zhijie Han, Hua-guang Zhang, Zhihong Liang et al.· IEEE Transactions on Automat...· 0 citations
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