Fuzzy model‐based multi‐objective dynamic programming with modified particle swarm optimization approach for the balance control of bicycle robot-Reference-Cited by-同舟云学术

Fuzzy model‐based multi‐objective dynamic programming with modified particle swarm optimization approach for the balance control of bicycle robot

Published:2021-10-29 Issue:1 Volume:16 Page:7-19
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Sun Yiyong¹²^ORCID,Zhao Haotian²³,Chen Zhang²,Zheng Xudong⁴,Zhao Mingguo²,Liang Bin²

Affiliation:

1. School of Aerospace Engineering Beijing Institute of Technology Beijing China

2. Department of Automation Tsinghua University Beijing China

3. School of Aerospace Harbin Institute of Technology Harbin China

4. Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Beijing Institute of Technology Research Fund Program for Young Scholars

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12199

Reference42 articles.

1. Benchmark results on the linearized equations of motion of an uncontrolled bicycle

2. A Bicycle Can Be Self-Stable Without Gyroscopic or Caster Effects

3. Full-Speed Range Self-Balancing Electric Motorcycles Without the Handlebar

4. A Study on Straight-Line Tracking and Posture Control in Electric Bicycle

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