Please use this identifier to cite or link to this item:
|Title:||Observer-based adaptive control using multiple-models switching and tuning|
|Source:||Giovanini, L., Sanchez, G., Benosman, M. (2014). Observer-based adaptive control using multiple-models switching and tuning. IET Control Theory and Applications 8 (4) : 235-247. ScholarBank@NUS Repository. https://doi.org/10.1049/iet-cta.2013.0242|
|Abstract:||Despite the remarkable theoretical accomplishments and successful applications of adaptive control, this field is not mature enough to solve challenging problems where strict performance and robustness guarantees are required. The needs of an approach that explicitly accounts for robust performance and stability specifications is a critical to the design of practical adaptive control systems. Towards this goal, this study extends the robust adaptive controller using multiple models, switching and tuning to multiple input multiple output and non-linear systems. The use of 'extended superstability', instead of superstability, allows us to establish overall performance guarantees and reduce the conservativeness of the resulting closed-loop system. The authors show that under the proposed framework, the output and states remain bounded for bounded disturbances, as a direct consequence of the passivation properties of superstability. The effectiveness of the proposed algorithm is demonstrated in numerical simulations of a non-linear continuous stirred tank reactor. © The Institution of Engineering and Technology 2014.|
|Source Title:||IET Control Theory and Applications|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 16, 2018
WEB OF SCIENCETM
checked on Nov 16, 2017
checked on Jan 14, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.