1 citations · 2 across the 14 of their papers we have counts for
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Linear quadratic control for discrete-time systems with stochastic and bounded noises
Xuehui Ma, Shiliang Zhang, Xiaohui Zhang +2
This paper focuses on the linear quadratic control (LQC) design of systems corrupted by both stochastic noise and bounded noise simultaneously. When only of these noises are consid…
Fault Tolerant Control of Mecanum Wheeled Mobile Robots
Xuehui Ma, Shiliang Zhang, Zhiyong Sun
Mecanum wheeled mobile robots (MWMRs) are highly susceptible to actuator faults that degrade performance and risk mission failure. Current fault tolerant control (FTC) schemes for…
Adaptive Lyapunov-constrained MPC for fault-tolerant AUV trajectory tracking
Haolin Liu, Shiliang Zhang, Xiaohui Zhang +6
Autonomous underwater vehicles (AUVs) are subject to various sources of faults during their missions, which challenges AUV control and operation in real environments. This paper ad…
Ultra-short-term solar power forecasting by deep learning and data reconstruction
Jinbao Wang, Jun Liu, Shiliang Zhang +1
The integration of solar power has been increasing as the green energy transition rolls out. The penetration of solar power challenges the grid stability and energy scheduling, due…
Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning
Jinbao Wang, Shiliang Zhang, Jun Liu +2
Data-enabled predictive control (DeePC) leverages system measurements in characterizing system dynamics for optimal control. The performance of DeePC relies on optimizing its hyper…
Adaptive Fault-tolerant Control of Underwater Vehicles with Thruster Failures
Haolin Liu, Shiliang Zhang, Shangbin Jiao +5
This paper presents a fault-tolerant control for the trajectory tracking of autonomous underwater vehicles (AUVs) against thruster failures. We formulate faults in AUV thrusters as…
Exploring the Generalizability of Geomagnetic Navigation: A Deep Reinforcement Learning approach with Policy Distillation
Wenqi Bai, Shiliang Zhang, Xiaohui Zhang +4
The advancement in autonomous vehicles has empowered navigation and exploration in unknown environments. Geomagnetic navigation for autonomous vehicles has drawn increasing attenti…