Adaptive Multiple-Model Control of A Class of Nonlinear Systems
- https://doi.org/10.2991/jrnal.2015.2.2.1How to use a DOI?
- adaptive control, multiple-model design, nonlinear systems, asymptotic tracking
In this paper, an adaptive multiple-model controller is developed for nonlinear systems in parametric-strict-feedback form. Unlike the previous results, a switching scheme is not required here to switch the most appropriate model into the controller design. The new scheme reduces the number of identification models and uses information provided by all the models more efficiently than previous results by using the convex combination of estimates of parameters. The method guarantees parameter convergence and global asymptotic stability of the closed-loop system. The global boundness of closed-loop signals and asymptotic convergence to zero of tracking error are proved. A simulation example is included to demonstrate the effectiveness of the obtained results.
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Cite this article
TY - JOUR AU - Chao Yang AU - Yingmin Jia PY - 2015 DA - 2015/09/01 TI - Adaptive Multiple-Model Control of A Class of Nonlinear Systems JO - Journal of Robotics, Networking and Artificial Life SP - 69 EP - 72 VL - 2 IS - 2 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2015.2.2.1 DO - https://doi.org/10.2991/jrnal.2015.2.2.1 ID - Yang2015 ER -