A Novel Model Predictive Control Scheme Based on an Improved Newton Algorithm

Xin Luo, Zhibin Li, Long Jin, Shuai Li

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

Abstract

This chapter proposes a Model Predictive Control (MPC) scheme for robot trajectory tracking, which can optimize tracking error, velocity norm and acceleration norm. The research background of this work is discussed in Sect. 2.1, Sect. 2.2 gives the problem description, Sect. 2.3 provides the theoretical verifications, the simulation results are presented in Sect. 2.4. Lastly, the conclusions are summarized in Sect. 2.5.

Original languageEnglish
Title of host publicationRobot Control and Calibration
Subtitle of host publicationInnovative Control Schemes and Calibration Algorithms
PublisherSpringer
Pages11-32
Number of pages22
ISBN (Electronic)978-981-99-5766-8
ISBN (Print)978-981-99-5765-1
DOIs
Publication statusPublished - 2023
MoE publication typeA3 Part of a book or another research book

Publication series

SeriesSpringerBriefs in Computer Science
VolumePart F1465
ISSN2191-5768

Keywords

  • Acceleration norm
  • Error-Summation-Enhanced Newton Algorithm
  • Model predictive control scheme
  • Tracking error
  • Velocity norm

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