Z
Ziyang Meng
Researcher at Tsinghua University
Publications - 157
Citations - 5563
Ziyang Meng is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Consensus. The author has an hindex of 26, co-authored 132 publications receiving 4056 citations. Previous affiliations of Ziyang Meng include Shanghai Jiao Tong University & Royal Institute of Technology.
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Brief paper: Distributed finite-time attitude containment control for multiple rigid bodies
Ziyang Meng,Wei Ren,Zheng You +2 more
TL;DR: A distributed sliding-mode estimator and a non-singular sliding surface were given to guarantee that the attitudes and angular velocities of the followers converge, respectively, to the dynamic convex hull formed by those of the leaders in finite time.
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A survey of distributed optimization
Tao Yang,Xinlei Yi,Junfeng Wu,Ye Yuan,Di Wu,Ziyang Meng,Yiguang Hong,Hong Wang,Zongli Lin,Karl Henrik Johansson +9 more
TL;DR: This survey paper aims to offer a detailed overview of existing distributed optimization algorithms and their applications in power systems, and focuses on the application of distributed optimization in the optimal coordination of distributed energy resources.
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Distributed Containment Control for Multiple Autonomous Vehicles With Double-Integrator Dynamics: Algorithms and Experiments
TL;DR: This brief studies distributed containment control for double-integrator dynamics in the presence of both stationary and dynamic leaders to derive conditions on the network topology and the control gains to guarantee asymptotic containment control in any dimensional space.
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Leaderless and Leader-Following Consensus With Communication and Input Delays Under a Directed Network Topology
TL;DR: Time-domain (Lyapunov theorems) and frequency-domain approaches are used to study leaderless and leader-following consensus algorithms with communication and input delays under a directed network topology.
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Decentralized finite-time sliding mode estimators and their applications in decentralized finite-time formation tracking
Yongcan Cao,Wei Ren,Ziyang Meng +2 more
TL;DR: It is shown that formation tracking can be achieved for systems with both single-Integrator kinematics and double-integrator dynamics in finite time and can be easily decoupled into two subtasks, that is, decentralized sliding mode estimation and vehicle desired state tracking.