{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T21:48:34Z","timestamp":1773438514482,"version":"3.50.1"},"reference-count":29,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[2012,2]]},"abstract":"<jats:p> Recurrent wavelet neural network (RWNN) has the advantages such as fast learning property, good generalization capability and information storing ability. With these advantages, this paper proposes an RWNN-based adaptive control (RBAC) system for multi-input multi-output (MIMO) uncertain nonlinear systems. The RBAC system is composed of a neural controller and a bounding compensator. The neural controller uses an RWNN to online mimic an ideal controller, and the bounding compensator can provide smooth and chattering-free stability compensation. From the Lyapunov stability analysis, it is shown that all signals in the closed-loop RBAC system are uniformly ultimately bounded. Finally, the proposed RBAC system is applied to the MIMO uncertain nonlinear systems such as a mass-spring-damper mechanical system and a two-link robotic manipulator system. Simulation results verify that the proposed RBAC system can achieve favorable tracking performance with desired robustness without any chattering phenomenon in the control effort. <\/jats:p>","DOI":"10.1142\/s0129065712002992","type":"journal-article","created":{"date-parts":[[2012,1,18]],"date-time":"2012-01-18T10:08:17Z","timestamp":1326881297000},"page":"37-50","source":"Crossref","is-referenced-by-count":46,"title":["ADAPTIVE CONTROL FOR MIMO UNCERTAIN NONLINEAR SYSTEMS USING RECURRENT WAVELET NEURAL NETWORK"],"prefix":"10.1142","volume":"22","author":[{"given":"CHIH-MIN","family":"LIN","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Yuan Ze University, No. 135, Far-Eastern Rd., Chung-Li, Tao-Yuan, 320, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ANG-BUNG","family":"TING","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Yuan Ze University, No. 135, Far-Eastern Rd., Chung-Li, Tao-Yuan, 320, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CHUN-FEI","family":"HSU","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Tamkang University, No. 151, Yingzhuan Rd., Tamsui Dist., New Taipei City, 25137, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CHAO-MING","family":"CHUNG","sequence":"additional","affiliation":[{"name":"Information and Communication Research Division, Chung-Shan Institute of Science and Technology, Long-Tan, Tao-Yuan, 325, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2012,4,7]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.806950"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.849824"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2007.890604"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065710002243"},{"key":"rf5","first-page":"349","volume":"8","author":"Lee C. 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