Cited by 188Adaptive Control of Nonlinear SystemsDynamics and Control of Mechanical SystemsControl Systems and Identification

Adaptive computed torque control for rigid link manipulators

Middletone, R., Goodwin, G.·1986·1986 25th IEEE Conference on Decision and Control

Abstract

In this paper we shall examine the adaptive control of rigid link manipulator systems. We give a parameterization of a genereal rigid body which yields dynamic equations that are linear in the unknown parameters. Standard linear estimation techniques together with an adaptive computed torque control law are shown to give a globally convergent adaptive system which does not require measurements of accelerations or additional torques.

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Crossref · 10.1109/cdc.1986.267156

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  • Nonlinear control approaches such as computed torque or backstepping are able to deliver high-performance controllers for robot manipulators.

    “Nonlinear control approaches, such as computed torque [4] or backstepping [5], are able to deliver high-performance controllers for robot manipulators.”

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Authors
Middletone, R., & Goodwin, G.
Affiliations
University of Newcastle Australia (AU)
Venue
1986 25th IEEE Conference on Decision and Control
Publisher
IEEE
Published
1986-12
Pages
68-73
ISSN
0191-2216 (ISSN-L)
OpenAlex
W2178946461
Cited by
188
References
0
Citations by year
2026: 3 · 2025: 4 · 2024: 7 · 2023: 6 · 2022: 2 · 2021: 4 · 2020: 8 · 2019: 5 · 2018: 6 · 2017: 2 · 2016: 2 · 2015: 6 · 2014: 1 · 2013: 7
FWCI
12.70
Type
conference paper
Language
en
Open access
closed
Locations
IEEE Conference on Decision and Control (CDC) (publishedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Dynamics and Control of Mechanical Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
Keywords
adaptive control, computed torque control, rigid-link manipulators, robot manipulators, parameter estimation, linear parameterization, global convergence

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