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 | Proceedings of the 4th International Conference and Exposition on Robotics for Challenging Situations and Environments - Robotics 2000 |
| Pages | 263-269 |
| Number of pages | 7 |
| DOIs | |
| Publication status | Published - 2000 |
| Event | 4th International Conference and Exposition on Robotics for Challenging Situations and Environments - Robotics 2000 - Denver, CO, United States Duration: 5 Aug 2000 → 8 Aug 2000 |
Publication series
| Name | Proceedings of the 4th International Conference and Exposition on Robotics for Challenging Situations and Environments - Robotics 2000 |
|---|---|
| Volume | 299 |
Conference
| Conference | 4th International Conference and Exposition on Robotics for Challenging Situations and Environments - Robotics 2000 |
|---|---|
| Country/Territory | United States |
| City | Denver, CO |
| Period | 5/08/00 → 8/08/00 |
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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