@inproceedings{4150fad419054cd7927b187298ddbe95,
title = "Supervised adaptive control of unknown nonlinear systems using fuzzily blended time-varying canonical model",
abstract = "In spite of the prosperous literature in adaptive control, application of this promising control strategy has been restricted by the lack of assurance in closed-loop stability. This paper proposes an adaptive control architecture, which is augmented by a supervising controller, to enhance the robustness of an adaptive PID control system in the face of exaggerated variation in system parameters, disturbances, or parameter drift in the adaptation law. Importantly, the supervising controller is designed based on an on-line identified model in a fuzzily blended time-varying canonical form. This model largely simplified the identification process, and the design of both the supervising controller and the adaptation law. Numerical studies of the tracking control of an uncertain Duffing-Holmes system demonstrate the effectiveness of the proposed control strategy.",
keywords = "Fuzzily blended time-varying canonical model, On-line identification, Supervised control",
author = "Chang, \{Yau Zen\} and Tsai, \{Zhi Ren\}",
year = "2007",
doi = "10.1007/978-3-540-73325-6\_46",
language = "英语",
isbn = "9783540733225",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "464--472",
booktitle = "New Trends in Applied Artificial Intelligence - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE 2007, Proceedings",
address = "德国",
note = "20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE-2007 ; Conference date: 26-06-2007 Through 29-06-2007",
}