9 citations · 17 across the 13 of their papers we have counts for
13 papers
Event-triggered Dual Gradient Tracking for Distributed Resource Allocation
Xiayan Xu, Xiaomeng Chen, Dawei Shi +1
High communication costs create a major bottleneck for distributed resource allocation over unbalanced directed networks. Conventional dual gradient tracking methods, while effecti…
Improved Extended Kalman Filter-Based Disturbance Observers for Exoskeletons
Shilei Li, Dawei Shi, Makoto Iwasaki +3
The nominal performance of mechanical systems is often degraded by unknown disturbances. A two-degree-of-freedom control structure can decouple nominal performance from disturbance…
An Autocovariance Least-Squares-Based Data-Driven Kalman Filter for Unknown Systems
Suyang Hu, Xiaoxu Lyu, Peihu Duan +2
This article investigates the problem of data-driven state estimation for linear systems with both unknown system dynamics and noise covariances. We propose an Autocovariance Least…
Bias-VarianceTrade-off in Kalman Filter-Based Disturbance Observers
Shilei Li, Dawei Shi, Xiaoxu Lyu +2
The performance of disturbance observers is strongly influenced by the level of prior knowledge about the disturbance model. The simultaneous input and state estimation (SISE) algo…
On the Effects of Modeling Errors on Distributed Continuous-time Filtering
Xiaoxu Lyu, Shilei Li, Dawei Shi +1
This paper offers a comprehensive performance analysis of the distributed continuous-time filtering in the presence of modeling errors. First, we introduce two performance indices,…
Multi-kernel Correntropy Regression: Robustness, Optimality, and Application on Magnetometer Calibration
Shilei Li, Yunjiang Lou, Dawei Shi +2
This paper investigates the robustness and optimality of the multi-kernel correntropy (MKC) on linear regression. We first derive an upper error bound for a scalar regression probl…
Multi-kernel Correntropy-based Orientation Estimation of IMUs: Gradient Descent Methods
Shilei Li, Lijing Li, Dawei Shi +2
This paper presents two computationally efficient algorithms for the orientation estimation of inertial measurement units (IMUs): the correntropy-based gradient descent (CGD) and t…
Event-triggered Observability: A Set-membership Perspective
Kaikai Zheng, Dawei Shi, Tongwen Chen
This work attempts to discuss the observability of linear time-invariant systems with event-triggered measurements. A new notion of observability, namely, -observability is defi…
Quasi Time-Fuel Optimal Control Strategy for dynamic target tracking
Huaihang Zheng, Junzheng Wang, Dawei Shi +2
This brief proposes a quasi time-fuel optimal control strategy to solve the dynamic tracking problem of unmanned systems when fuel and control input are limited. This kind of motio…
Posture Adjustment for a Wheel-legged Robotic System via Leg Force Control with Prescribed Transient Performance
Dongchen Liu, Junzheng Wang, Shoukun Wang +3
This work proposes a force control strategy with prescribed transient performance for the legs of a wheel-legged robotic system to realize the posture adjustment on uneven roads. A…
Learning Hidden Markov Models for Linear Gaussian Systems with Applications to Event-based State Estimation
Kaikai Zheng, Dawei Shi, Ling Shi
This work attempts to approximate a linear Gaussian system with a finite-state hidden Markov model (HMM), which is found useful in solving sophisticated event-based state estimatio…
Secure Analysis of Dynamic Networks under Pinning Attacks against Synchronization
Yuzhe Li, Dawei Shi, Tongwen Chen
In this paper, we first consider a pinning node selection and control gain co-design problem for complex networks. A necessary and sufficient condition for the synchronization of t…
Quickest Change Detection in Adaptive Censoring Sensor Networks
Xiaoqiang Ren, Karl H. Johansson, Dawei Shi +1
The problem of quickest change detection with communication rate constraints is studied. A network of wireless sensors with limited computation capability monitors the environment…