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.
| Original language | English |
|---|---|
| Title of host publication | Robotics 2000 |
| Editors | W.C. Stone, W.C. Stone |
| Pages | 263-269 |
| Number of pages | 7 |
| Publication status | Published - 2000 |
| Event | Proceedings of the Fourth International Conference and Exposition/Demonstration on Robotics for Challenging Situations and Environments - Albuquerque, NM, United States Duration: 27 Feb 2000 → 2 Mar 2000 |
Publication series
| Name | Robotics 2000 |
|---|
Conference
| Conference | Proceedings of the Fourth International Conference and Exposition/Demonstration on Robotics for Challenging Situations and Environments |
|---|---|
| Country/Territory | United States |
| City | Albuquerque, NM |
| Period | 27/02/00 → 2/03/00 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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