Xiaoli Wang
Harbin Institute of Technology
25 Papers
223 Citations
Xiaoli Wang is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Multi-agent system & Internal model. The author has an hindex of 9, co-authored 21 publications. Previous affiliations of Xiaoli Wang include Chinese Academy of Sciences.
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Papers
A Distributed Control Approach to A Robust Output Regulation Problem for Multi-Agent Linear Systems
TL;DR: In this note, the robust output regulation problem of a multi-agent system is considered and an internal model based distributed control scheme is adopted to achieve the objectives of asymptotic tracking and disturbance rejection in an uncertain multi- agent system.
496
Finite-Time Consensus for Multi-Agent Networks with Second-Order Agent Dynamics
Xiaoli Wang,Yiguang Hong +1 more
TL;DR: Local (non-smooth) time-invariant consensus protocols in different forms are constructed for each double-integrator agent dynamics in a quite unified way with help of Lyapunov function, graph theory, and homogeneity with dilation.
316
Distributed output regulation of leader–follower multi‐agent systems
TL;DR: In this article, a distributed leader-follower control algorithm for linear multi-agent systems based on output regulation theory and internal model principle is presented, where a leader is followed as an exosystem and the identical agents can track an active leader with different dynamics and unmeasurable variables.
239
DISTRIBUTED FINITE-TIME χ-CONSENSUS ALGORITHMS FOR MULTI-AGENT SYSTEMS WITH VARIABLE COUPLING TOPOLOGY ∗
Xiaoli Wang,Yiguang Hong +1 more
TL;DR: Several distributed finite-time consensus rules are constructed for multi-agent dynamics in a unified way with the help of Lyapunov function and graph theory as well as homogeneity.
91
Multi-agent tracking of a high-dimensional active leader with switching topology
Yiguang Hong,Xiaoli Wang +1 more
TL;DR: The authors prove that, with the help of a constructed common Lyapunov function (CLF), each agent can track the active leader with unmeasurable states.
60