Detail Neural Control of Pure-Feedback Systems   Oleh:  Wang, Cong ; Ge, Shuzhi S. ; Hill, David J. ; Chen, Guanrong Jenis: Article from Article Dalam koleksi: Final Program and Book of Abstracts: The 4th Asian Control Conference, September 25-27, 2002 (Sep. 2002), page 286-291. Topik: Neural Control; Feedback System; ISS Fulltext: AC021434.PDF (145.8KB) Isi artikel , _, David J. Hill and Guanrong Chen In this paper, adaptive neural control is considered for uncertain non-affine pure-feedback systems. By combining backstepping with inputto- state stability (ISS) analysis and small-gain theorem, we present an “ISS-modular” approach for controlling nonlinear pure-feedback systems to achieve “ISS-modularity” of the controllerestimator pair, i.e., any ISS neural controller can be combined with any ISS neural weights estimator, provided the small-gain condition between the interconnected control module and estimation module is satisfied. The difficulty of constructing an overall Lyapunov function for the entire closed-loop system is bypassed. Compared with the former results of adaptive neural control, the ISS-modular approach is more effective and powerful, since not only can it achieve semi-global result for non-affine pure-feedback systems, but also largely relax the assumptions on the systems. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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