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Zizhen Wu

Researcher at Peking University

Publications -  6
Citations -  182

Zizhen Wu is an academic researcher from Peking University. The author has contributed to research in topics: Optimization problem & Network topology. The author has an hindex of 3, co-authored 6 publications receiving 57 citations. Previous affiliations of Zizhen Wu include University College of Engineering.

Papers
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Distributed Optimal Coordination for Heterogeneous Linear Multiagent Systems With Event-Triggered Mechanisms

TL;DR: To achieve the DOC for linear multiagent systems with unmeasurable states, an observer-based event-triggered control law is proposed and it is proved that no Zeno behavior is exhibited and the global asymptotic convergence is preserved.
Journal ArticleDOI

Distributed Edge-Based Event-Triggered Formation Control

TL;DR: Four kinds of edge-based event-triggered protocols are proposed, each of which can be used to achieve given formation structures and eliminate the unexpected Zeno behavior, which efficiently avoid continuous communications, reduce the bandwidth need of communication, and decrease the energy consuming.
Journal ArticleDOI

Distributed Continuous-Time Optimization With Scalable Adaptive Event-Based Mechanisms

TL;DR: This paper investigates the distributed continuous-time optimization problem, which consists of a group of agents with variant local cost functions, and introduces an adaptive consensus-based algorithm with event triggering communications that can drive the participating agents to minimize the global cost function and exclude the Zeno behavior.
Journal ArticleDOI

Distributed Adaptive Tracking Control for Lur’e Systems With Event-Triggered Strategy

TL;DR: This paper investigates the cooperative tracking control problem of multiagent systems where each agent is described as a Lur’e system and proposes a novel event-triggered protocol, including a nonlinear term to restrain the effect of the leader’s input.
Proceedings ArticleDOI

Fully Distributed Event-Based Protocols for Lipschitz Nonlinear Multi-Agent Systems

TL;DR: This article addresses the cooperative control problem of multi-agent systems with Lipschitz nonlinearities with a distributed adaptive event-triggered protocol that can avoid the Zeno behavior while reducing the operating frequency of the sensor and controller.