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Adaptive extremum-seeking receding horizon control of nonlinear systems
Content Provider | Semantic Scholar |
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Author | Adetola, Veronica DeHaan, Darryl Guay, Martin |
Copyright Year | 2004 |
Abstract | We present a control algorithm that incorporates real time optimization and receding horizon control technique to solve an extremum seeking control problem for a class of nonlinear systems with parametric uncertainties. A Lyapunov-based technique is employed to develop a receding horizon controller that drives the system states to the desired unknown extremum points when it can be shown that a persistency of excitation condition is satisfied. A simulation example is provided to illustrate the effectiveness of the proposed method. |
Starting Page | 96 |
Ending Page | 118 |
Page Count | 23 |
File Format | PDF HTM / HTML |
Volume Number | 4 |
Alternate Webpage(s) | http://folk.ntnu.no/skoge/prost/proceedings/acc04/Papers/0522_ThM10.6.pdf |
Alternate Webpage(s) | http://www.nt.ntnu.no/users/skoge/prost/proceedings/acc04/Papers/0522_ThM10.6.pdf |
Alternate Webpage(s) | https://doi.org/10.23919/acc.2004.1384358 |
Journal | Proceedings of the 2004 American Control Conference |
Language | English |
Access Restriction | Open |
Content Type | Text |
Resource Type | Article |