2 citations · 3 across the 7 of their papers we have counts for
9 papers
Near-Optimal Mixed Strategy for Zero-Sum Linear-Quadratic Differential Games
Tao Xu, Wang Xi, Jianping He
Deriving analytic solutions for optimal mixed strategies in zero-sum linear-quadratic differential games (ZSLQDGs) remains an open problem. In this paper, we analytically synthesiz…
Inverse Inference on Cooperative Control of Networked Dynamical Systems
Yushan Li, Jianping He, Dimos V. Dimarogonas
Recent years have witnessed the rapid advancement of understanding the control mechanism of networked dynamical systems (NDSs), which are governed by components such as nodal dynam…
Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems
Tao Xu, Jianping He
Probabilistic prediction of stochastic dynamical systems (SDSs) aims to accurately predict the conditional probability distributions of future states. However, accurate probabilist…
Robust Probabilistic Prediction for Stochastic Dynamical Systems
Tao Xu, Jianping He
It is critical and challenging to design robust predictors for stochastic dynamical systems (SDSs) with uncertainty quantification (UQ) in the prediction. Specifically, robustness…
Near-Optimal Mixed Strategy for Zero-Sum Differential Games
Tao Xu, Wang Xi, Jianping He
Synthesizing near-optimal mixed strategies for zero-sum differential games (ZSDGs) has been a longstanding challenge. Existing research mainly focuses on characterizing the theoret…
Preserving Topology of Network Systems: Metric, Analysis, and Optimal Design
Yushan Li, Zitong Wang, Jianping He +2
Preserving the topology from being inferred by external adversaries has become a paramount security issue for network systems (NSs), and adding random noises to the nodal states pr…
Inferring Topology of Networked Dynamical Systems by Active Excitations
Yushan Li, Jianping He, Cailian Chen +1
Topology inference for networked dynamical systems (NDSs) has received considerable attention in recent years. The majority of pioneering works have dealt with inferring the topolo…
Probabilistic Predictability of Stochastic Dynamical Systems
Tao Xu, Yushan Li, Jianping He
To assess the quality of a probabilistic prediction for stochastic dynamical systems (SDSs), scoring rules assign a numerical score based on the predictive distribution and the mea…
Topology Inference for Network Systems: Causality Perspective and Non-asymptotic Performance
Yushan Li, Jianping He, Cailian Chen +1
Topology inference for network systems (NSs) plays a crucial role in many areas. This paper advocates a causality-based method based on noisy observations from a single trajectory…