5 papers · 1 filter
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…
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…
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…
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…