977 citations · 5.1k across the 105 of their papers we have counts for
12 papers · 1 filter
Distributed Consensus over Markovian Packet Loss Channels
Liang Xu, Yilin Mo, Lihua Xie
This paper studies the consensusability problem of multi-agent systems (MASs), where agents communicate with each other through Markovian packet loss channels. We try to determine…
Remote State Estimation with Stochastic Event-triggered Sensor Schedule in the Presence of Packet Drops
Liang Xu, Yilin Mo, Lihua Xie
This paper studies the remote state estimation problem of linear time-invariant systems with stochastic event-triggered sensor schedules in the presence of packet drops between the…
An integrated localization-navigation scheme for distance-based docking of UAVs
Thien-Minh Nguyen, Zhirong Qiu, Muqing Cao +2
In this paper we study the distance-based docking problem of unmanned aerial vehicles (UAVs) by using a single landmark placed at an arbitrarily unknown position. To solve the prob…
Least-square based recursive optimization for distance-based source localization
Thien-Minh Nguyen, Lihua Xie
In this paper we study the problem of driving an agent to an unknown source whose location is estimated in real-time by a recursive optimization algorithm. The optimization criteri…
Distributed Online Optimization for Multi-Agent Networks with Coupled Inequality Constraints
Xiuxian Li, Xinlei Yi, Lihua Xie
This paper investigates the distributed online optimization problem over a multi-agent network subject to local set constraints and coupled inequality constraints, which has a lot…
Consensusability of Multi-agent Systems with Delay and Packet Dropout Under Predictor-like Protocols
Juanjuan Xu, Huanshui Zhang, Lihua Xie
This paper considers the consensusability of multi-agent systems with delay and packet dropout. By proposing a kind of predictor-like protocol, sufficient and necessary conditions…
Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators
Chen Wang, Tete Ji, Thien-Minh Nguyen +1
Robust velocity and position estimation is crucial for autonomous robot navigation. The optical flow based methods for autonomous navigation have been receiving increasing attentio…
Iterative Learning Economic Model Predictive Control
Yushen Long, Lihua Xie, Shuai Liu
An iterative learning based economic model predictive controller (ILEMPC) is proposed for repetitive tasks in this paper. Compared with existing works, the initial feasible traject…
Graph Optimization Approach to Range-based Localization
Xu Fang, Chen Wang, Thien-Minh Nguyen +1
In this paper, we propose a general graph optimization based framework for localization, which can accommodate different types of measurements with varying measurement time interva…
Robust Target-relative Localization with Ultra-Wideband Ranging and Communication
Thien-Minh Nguyen, Abdul Hanif Zaini, Chen Wang +2
In this paper we propose a method to achieve relative positioning and tracking of a target by a quadcopter using Ultra-wideband (UWB) ranging sensors, which are strategically insta…
Output Feedback Control Based on State and Disturbance Estimation
Wuhua Hu, Eduardo F. Camacho, Lihua Xie
Recently developed control methods with strong disturbance rejection capabilities provide a useful option for control design. The key lies in a general concept of disturbance and e…
Bayesian Filtering with Unknown Sensor Measurement Losses
Jiaqi Zhang, Keyou You, Lihua Xie
This work studies the state estimation problem of a stochastic nonlinear system with unknown sensor measurement losses. If the estimator knows the sensor measurement losses of a li…