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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hiramatsu, T. Johnson, M. Fitz-Coy, N.G. Dixon, W.E. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Mechanical and Aerospace Engineering, University of Florida, Gainesville, 32611, USA (Hiramatsu, T.; Johnson, M.; Fitz-Coy, N.G.; Dixon, W.E.) |
| Abstract | Differential game theory is used to develop controllers for an uncertain nonlinear Euler-Lagrange system. A closed-loop Stackelberg strategy based on hierarchical characteristics of the system is employed. A Robust Integral Sign of the Error (RISE) controller is used to partially cancel uncertain nonlinearities in the system first, and the residual system is modeled as an infinite-horizon two-person Stackelberg differential game. Although the game is linear-quadratic (LQ) not all the nonlinearities are lost since the residual system is linear in errors but not in the original states. To alleviate time inconsistency a closed-loop strategy is sought such that the controller assumes the potential perturbation to the system and computes its strategy accordingly. An analytical solution is presented to allow of a real-time controller implementation. A Lyapunov analysis is provided to examine the stability of the developed controller. |
| Starting Page | 1030 |
| Ending Page | 1035 |
| File Size | 165427 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612848006 |
| ISSN | 07431546 |
| e-ISBN | 9781612848013 |
| e-ISBN | 9781612847993 |
| DOI | 10.1109/CDC.2011.6161202 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Games Equations Game theory Neodymium State-space methods Stability analysis Vectors |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Modeling and Simulation |
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