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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gibson, T.E. Annaswamy, A.M. Lavretsky, E. |
| Copyright Year | 2013 |
| Abstract | One of the main features of adaptive systems is an oscillatory convergence that exacerbates with the speed of adaptation. Recently, it has been shown that closed-loop reference models (CRMs) can result in improved transient performance over their open-loop counterparts in model reference adaptive control. In this paper, we quantify both the transient performance in the classical adaptive systems and their improvement with CRMs. In addition to deriving bounds on L-2 norms of the derivatives of the adaptive parameters that are shown to be smaller, an optimal design of CRMs is proposed that minimizes an underlying peaking phenomenon. The analytical tools proposed are shown to be applicable for a range of adaptive control problems including direct control and composite control with observer feedback. The presence of CRMs in adaptive backstepping and adaptive robot control is also discussed. Simulation results are presented throughout this paper to support the theoretical derivations. |
| Starting Page | 703 |
| Ending Page | 717 |
| Page Count | 15 |
| File Size | 12511188 |
| File Format | |
| ISSN | 21693536 |
| Volume Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptation models Customer relationship management Transient analysis Adaptive control Oscillators Mathematical model closed-loop reference model Adaptive algorithms adaptive algorithms adaptive control observers |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Engineering Materials Science |
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