1 citations · 2 across the 14 of their papers we have counts for
16 papers
Topology-adaptive Estimation of Maximum Voltage Unbalance for Distribution Networks with Finite-sample Guarantee
Jinbao Wang, Jun Liu, Shiliang Zhang +2
High penetration of single-phase distributed power production and frequent topology changes can significantly increase voltage unbalance in distribution networks. Reliable probabil…
Adaptive Robust Control for Uncertain Systems with Ellipsoid-Set Learning
Xuehui Ma, Shiliang Zhang, Zhiyong Sun +2
Despite the celebrated success of stochastic control approaches for uncertain systems, such approaches are limited in the ability to handle non-Gaussian uncertainties. This work pr…
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…
Hardware-in-the-loop Simulation Testbed for Geomagnetic Navigation
Songnan Yang, Shiliang Zhang, Qianyun Zhang +2
Geomagnetic navigation leverages the ubiquitous Earth's magnetic signals to navigate missions, without dependence on GPS services or pre-stored geographic maps. It has drawn increa…
Ensemble Control for Stochastic Systems with Asymmetric Laplace Noises
Yajie Yu, Xuehui Ma, Shiliang Zhang +4
This paper presents an adaptive ensemble control for stochastic systems subject to asymmetric noises and outliers. Asymmetric noises skew system observations, and outliers with lar…
A Bionic Data-driven Approach for Long-distance Underwater Navigation with Anomaly Resistance
Songnan Yang, Xiaohui Zhang, Shiliang Zhang +4
Various animals exhibit accurate navigation using environment cues. The Earth's magnetic field has been proved a reliable information source in long-distance fauna migration. Inspi…
Adaptive robust tracking control with active learning for linear systems with ellipsoidal bounded uncertainties
Xuehui Ma, Shiliang Zhang, Yushuai Li +2
This paper is concerned with the robust tracking control of linear uncertain systems, whose unknown system parameters and disturbances are bounded within ellipsoidal sets. We propo…
Active learning for anti-disturbance dual control of unknown nonlinear systems
Xuehui Ma, Shiliang Zhang, Fucai Qian +2
This work concerns the control of unknown nonlinear systems corrupted by disturbances. For such systems, we propose an anti-disturbance dual control approach with active learning o…
Extended vehicle energy dataset (eVED): an enhanced large-scale dataset for deep learning on vehicle trip energy consumption
Shiliang Zhang, Dyako Fatih, Fahmi Abdulqadir +2
This work presents an extended version of the Vehicle Energy Dataset (VED), which is a openly released large-scale dataset for vehicle energy consumption analysis. Compared with it…
Contextualize differential privacy in image database: a lightweight image differential privacy approach based on principle component analysis inverse
Shiliang Zhang, Xuehui Ma, Hui Cao +3
Differential privacy (DP) has been the de-facto standard to preserve privacy-sensitive information in database. Nevertheless, there lacks a clear and convincing contextualization o…