caa a22 4500 463206975 CHVBK 20180405153129.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s10462-008-9086-1 doi (NATIONALLICENCE)springer-10.1007/s10462-008-9086-1 Fuzzy controllers for a class of discrete-time nonlinear systems [Elektronische Daten] [Hugang Han, Akira Ikuta] In consideration of system stability, two fuzzy controllers for a class of discrete-time nonlinear systems are proposed. When the knowledge on the control process is available, a fuzzy controller will maintain it as much as possible. In the other case where such knowledge is unavailable, another fuzzy controller can be used where the fuzzy rules are viewed as approximators to deal with some unknown parts in the system to be controlled. Computer simulations are provided to illustrate the effectiveness of the fuzzy controllers proposed in this paper. Springer Science+Business Media B.V., 2008 Fuzzy rules nationallicence System stability nationallicence Discrete-time control nationallicence Adaptive controller nationallicence Lyapunov function nationallicence Han Hugang Department of Management Information System, Prefectural University of Hiroshima, 1-1-71 Ujina-higashi, 734-8558, Minami-ku, Hiroshima, Japan aut Ikuta Akira Department of Management Information System, Prefectural University of Hiroshima, 1-1-71 Ujina-higashi, 734-8558, Minami-ku, Hiroshima, Japan aut Artificial Intelligence Review Springer Netherlands 27/2-3(2007-03-01), 79-94 0269-2821 27:2-3<79 2007 27 10462 https://doi.org/10.1007/s10462-008-9086-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10462-008-9086-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Han Hugang Department of Management Information System, Prefectural University of Hiroshima, 1-1-71 Ujina-higashi, 734-8558, Minami-ku, Hiroshima, Japan aut NATIONALLICENCE 700 1- Ikuta Akira Department of Management Information System, Prefectural University of Hiroshima, 1-1-71 Ujina-higashi, 734-8558, Minami-ku, Hiroshima, Japan aut NATIONALLICENCE 773 0- Artificial Intelligence Review Springer Netherlands 27/2-3(2007-03-01), 79-94 0269-2821 27:2-3<79 2007 27 10462 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer