A novel data-driven control approach for a class of discrete-time nonlinear systems
| dc.contributor.author | Hou, Zhongsheng | en_GB |
| dc.contributor.author | Jin, Shangtai | en_GB |
| dc.date.accessioned | 2013-03-25T12:57:40Z | |
| dc.date.available | 2013-03-25T12:57:40Z | |
| dc.date.issued | 2011 | |
| dc.identifier.citation | Hou, Z., Jin, S. (2011) 'A Novel Data-Driven Control Approach for a Class of Discrete-Time Nonlinear Systems' IEEE Transactions on Control Systems Technology 19 (6):1549-1558 | en_GB |
| dc.identifier.issn | 1063-6536 | |
| dc.identifier.issn | 1558-0865 | |
| dc.identifier.doi | 10.1109/TCST.2010.2093136 | |
| dc.identifier.uri | http://hdl.handle.net/10547/275836 | |
| dc.description.abstract | In this work, a novel data-driven control approach, model-free adaptive control, is presented based on a new dynamic linearization technique for a class of discrete-time single-input and single-output nonlinear systems. The main feature of the approach is that the controller design depends merely on the input and the output measurement data of the controlled plant. The theoretical analysis shows that the approach guarantees the bounded input and bounded output stability and tracking error monotonic convergence. The comparison experiments verify the effectiveness of the proposed approach. | |
| dc.language.iso | en | en |
| dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_GB |
| dc.relation.url | http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5673018 | en_GB |
| dc.rights | Archived with thanks to IEEE Transactions on Control Systems Technology | en_GB |
| dc.subject | adaptive control | en_GB |
| dc.subject | discrete time systems | en_GB |
| dc.subject | nonlinear systems | en_GB |
| dc.title | A novel data-driven control approach for a class of discrete-time nonlinear systems | en |
| dc.type | Article | en |
| dc.contributor.department | Beijing Jiaotong University, Beijing, China | en_GB |
| dc.identifier.journal | IEEE Transactions on Control Systems Technology | en_GB |
| html.description.abstract | In this work, a novel data-driven control approach, model-free adaptive control, is presented based on a new dynamic linearization technique for a class of discrete-time single-input and single-output nonlinear systems. The main feature of the approach is that the controller design depends merely on the input and the output measurement data of the controlled plant. The theoretical analysis shows that the approach guarantees the bounded input and bounded output stability and tracking error monotonic convergence. The comparison experiments verify the effectiveness of the proposed approach. |