Frontiers in Control Engineering

Original Research

Published on 16 Mar 2023

Obstacle-avoidance trajectory planning and sliding mode-based tracking control of an omnidirectional mobile robot

in Nonlinear Control

Zhe Sun
Shujie Hu
Xinan Miao
Bo Chen
Jinchuan Zheng
Zhihong Man
Tian Wang

Frontiers in Control Engineering

doi 10.3389/fcteg.2023.1135258

2,041 views
2 citations

Original Research

Published on 17 Nov 2021

Leader-Following Multi-Agent Coordination Control Accompanied With Hierarchical Q(λ)-Learning for Pursuit

in Nonlinear Control

Zhe-Yang Zhu
Cheng-Lin Liu

Frontiers in Control Engineering

doi 10.3389/fcteg.2021.721475

1,779 views
2 citations

Methods

Published on 01 Oct 2021

Robust Consensus Problem of Heterogeneous Uncertain Second-Order Multi-Agent Systems Based on Sliding Mode Control

in Nonlinear Control

Ni ZHAO
Jian-dong ZHU

Frontiers in Control Engineering

doi 10.3389/fcteg.2021.744027

1,716 views
2 citations

Original Research

Published on 18 Aug 2021

Secure Dynamic State Estimation for Cyber Security of AC Microgrids

in Nonlinear Control

Dariush Fooladivanda
Qie Hu
Young Hwan Chang

Frontiers in Control Engineering

doi 10.3389/fcteg.2021.734220

1,729 views
3 citations

Original Research

Published on 06 Aug 2021

Time and Action Co-Training in Reinforcement Learning Agents

in Nonlinear Control

Ashlesha Akella
Chin-Teng Lin

Frontiers in Control Engineering

doi 10.3389/fcteg.2021.722092

2,787 views
1 citation

Original Research

Published on 02 Aug 2021

Finite-Time Stability of Hybrid Systems With Unstable Modes

in Nonlinear Control

Kunal Garg
Dimitra Panagou

Frontiers in Control Engineering

doi 10.3389/fcteg.2021.707729

1,589 views
2 citations

Original Research

Published on 15 Jul 2021

Bearing-Only Adaptive Formation Control Using Back-Stepping Method

in Nonlinear Control

Sulong Li
Qin Wang
Enci Wang
Yangyang Chen

Frontiers in Control Engineering

doi 10.3389/fcteg.2021.700053

1,578 views
3 citations

Perspective

Published on 22 Feb 2021

Deep Reinforcement Learning Algorithms for Multiple Arc-Welding Robots

in Nonlinear Control

Lei-Xin Xu
Yang-Yang Chen

Frontiers in Control Engineering

doi 10.3389/fcteg.2021.632417

3,177 views
4 citations

Navigation group

Articles

Obstacle-avoidance trajectory planning and sliding mode-based tracking control of an omnidirectional mobile robot

Leader-Following Multi-Agent Coordination Control Accompanied With Hierarchical Q(λ)-Learning for Pursuit

Robust Consensus Problem of Heterogeneous Uncertain Second-Order Multi-Agent Systems Based on Sliding Mode Control

Secure Dynamic State Estimation for Cyber Security of AC Microgrids

Time and Action Co-Training in Reinforcement Learning Agents

Finite-Time Stability of Hybrid Systems With Unstable Modes

Bearing-Only Adaptive Formation Control Using Back-Stepping Method

Deep Reinforcement Learning Algorithms for Multiple Arc-Welding Robots