Observer-Based Output Feedback Event-Triggered Control for Consensus of Multi-Agent Systems

By Hao Zhang, Gang Feng, Huaicheng Yan, Qijun Chen. IEEE transactions on industrial electronics (1982. Print), 2014

497 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/4f3bddec417407835efcf37f1bd1bed34685471d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Qing-Long Han
2. Xianming Zhang
3. Chen Peng
4. Hongyi Li
5. Baolin Zhang
6. Tingwen Huang
7. Hak-Keung Lam
8. Ligang Wu

In Control and Systems Engineering

1. Chen Peng
2. Qing-Long Han
3. Xianming Zhang
4. Hongyi Li
5. Hak-Keung Lam
6. Yingnan Pan
7. Baolin Zhang
8. Haiping Du

Citations in the corpus

• An Overview and Deep Investigation on Sampled-Data-Based Event-Triggered Control and Filtering for Networked Systems (2017, background): “Hence, in the last decade, the ETC has become a hot research topic in the field of control and signal processing [21]–[31].”
• Adaptive Event-Triggering ${H}_{\infty }$ Load Frequency Control for Network-Based Power Systems (2018, background): “More recently, task modes in an aperiodic manner have been developed to tackle the above problem [8], [9], [15], [16].”
• Event-Triggered Fault Detection of Nonlinear Networked Systems (2017, methodology): “Several methods have been developed to save that resource [40]–[45], in which the event generator is a critical factor [46], [47].”
• An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (2018, unknown): “sus scheme (9) reported in [59], [67], and [86]–[93].”
• Fully Distributed Event-Triggered Protocols for Linear Multiagent Networks (2018, background): “, those presented in [15], [16], and [19]–[21], are not truly distributed, thus requiring the knowledge of global eigenvalue information of the communication graph.”
• Event-Triggered Fuzzy Bipartite Tracking Control for Network Systems Based on Distributed Reduced-Order Observers (2021, background): “Two types of the event-triggered control strategies were developed for linear MASs in [19], one is distributed and the other is centralized.”
• Event-based synchronisation of linear discrete-time dynamical networks (2015, methodology): “…agent i is designed as with the parameter σ satisfying σ ∈ (0 , 1); (cid:37) ( ε ) redefined as (cid:37) ( ε ) (cid:44) min { 2 max and An equivalent condition for synchronization based on the combinational-state variables [38] is established in the following lemma, the idea for which is from [42].”
• Adaptive Fault-Tolerant Tracking Control for Linear and Lipschitz Nonlinear Multi-Agent Systems (2015, background): “For more details on the leaderless consensus problem, readers are referred to [7]–[11], which cover different static and dynamic leaderless consensus protocols with linear/nonlinear dynamics.”