Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems

By Guoxing Wen, Chun Lung Philip Chen, Yanjun Liu, Zhi Liu. IEEE Transactions on Cybernetics, 2017

343 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/6d4ae0d371a696fc7f94032f70fbc5d48b3687c9

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. Renquan Lu
2. Qi Zhou
3. Shi-lu Dai
4. Shude He
5. Chengwei Wu
6. Hongyi Li
7. Hai Lin
8. Shaocheng Tong

In Electrical and Electronic Engineering

1. Hongyi Li

Citations in the corpus

• Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone (2019, methodology): “In particular, the fuzzy logic control [1]–[5] and neural network (NN) control methods [6]–[9] have been employed generally to approximate the nonlinear systems.”
• Platoon Formation Control With Prescribed Performance Guarantees for USVs (2018, background): “FORMATION control of multiple agents, such as mobile robots or autonomous vehicles, is receiving increasing interest in system and control engineering [1]–[5], where the objective is to achieve and maintain a desired formation geometry while ensuring that the agents as a group achieve a predefined t”