T
Tao Yang
Researcher at Northeastern University (China)
Publications - 221
Citations - 4363
Tao Yang is an academic researcher from Northeastern University (China). The author has contributed to research in topics: Computer science & Distributed algorithm. The author has an hindex of 27, co-authored 177 publications receiving 2965 citations. Previous affiliations of Tao Yang include Hubei University & Agency for Science, Technology and Research.
Papers
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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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Global consensus for discrete-time multi-agent systems with input saturation constraints
TL;DR: This paper first gives necessary conditions for achieving global consensus via a distributed protocol based on relative state measurements of the agent itself and its neighboring agents, and then focuses on two special cases, where the agent model is either neutrally stable or a double integrator.
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Output synchronization for heterogeneous networks of non-introspective agents
TL;DR: This paper considers the output synchronization problem for heterogeneous networks of linear agents, and designs decentralized controllers based on setting the control input of a single root agent to zero and letting the remaining agents synchronize to the root agent.
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A Distributed Algorithm for Economic Dispatch Over Time-Varying Directed Networks With Delays
TL;DR: An algorithm based on the gradient push-sum method is proposed to solve the EDP in a distributed manner over communication networks potentially with time-varying topologies and communication delays.
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Optimal Coordination of Building Loads and Energy Storage for Power Grid and End User Services
TL;DR: This paper presents a generalized battery model (GBM) to describe the flexibility of building loads and energy storage, and develops optimal coordination algorithms to provide power grid and end user services such as energy arbitrage, frequency regulation, and spinning reserve.