Lin, Chuan-KaiChuan-KaiLinSHENG-DE WANG2009-03-042018-07-062009-03-042018-07-06199801650114http://ntur.lib.ntu.edu.tw//handle/246246/142271https://www.scopus.com/inward/record.uri?eid=2-s2.0-16444379014&doi=10.1016%2fS0165-0114%2896%2900320-X&partnerID=40&md5=f0421a69f72bb13007e2cc8687e31622In this paper, an adaptive fuzzy autopilot is developed for bank-to-turn (BTT) missiles. We propose a self-organizing rotated fuzzy basis function control system that is more flexible than fuzzy basis function expansion in that not only the output weights but also the shapes of fuzzy basis functions can be tuned. Another characteristic of this autopilot is to incorporate the terminal attractor controller into the autopilot to speed up the convergence rate. The global stability analysis established in the Lyapunov sense shows that the states and tracking errors of the BTT missile are uniformly bounded. Finally, there are two simulation examples to demonstrate the effectiveness of the proposed autopilot. The purpose of the first example is to indicate the better performance including faster convergence speed and lower steady-state error obtained by autopilots with terminal attractors as compared with that autopilot without terminal attractor. Another simulation result proves that BTT missile can manipulate under various flight conditions in our scenarios and shows the superior tracking performance. © 1998 Elsevier Science B.V. All rights reserved.application/pdf1389315 bytesapplication/pdfen-USEngineering; Fuzzy basis function; Neural networks; Terminal attractorjournal article10.1016/S0165-0114(96)00320-Xhttp://ntur.lib.ntu.edu.tw/bitstream/246246/142271/1/14.pdf