Chapter
Apr 26, 2012
Model Predictive Control for Industrial Robots
Authors: Zhouping Wei and Gu FangAuthor Affiliations
Publication: Robotics 2000
Abstract
In this paper, the model predictive control (MPC) technique is applied to control a multi-degree-of-freedom industrial robot. Different from the conventional MPC, the predictive model used in this paper is non-linear. In this paper, the properties of the MPC method using a non-linear predictive model to control an industrial robot are studied.
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© 2000 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Automation and robotics
- Business management
- Continuum mechanics
- Degrees of freedom
- Displacement (mechanics)
- Engineering fundamentals
- Engineering mechanics
- Geomatics
- Industries
- Mathematics
- Navigation (geomatic)
- Nonlinear analysis
- Organizations
- Practice and Profession
- Solid mechanics
- Structural analysis
- Structural engineering
- Structural mechanics
- Systems engineering
Authors
Affiliations
Zhouping Wei
School of Mechatronic, Computer and Electrical Engineering, University of Western Sydney, Nepean, PO Box 10, Kingswood, NSW 2747, Australia
Gu Fang
School of Mechatronic, Computer and Electrical Engineering, University of Western Sydney, Nepean, PO Box 10, Kingswood, NSW 2747, Australia
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.