Journal: Journal of Intelligent and Fuzzy Systems

Volume 10, Issue 3-4

131 -- 137Felipe Montoya, Aldo Cipriano, MarĂ­a Ramos. A new identification method for use in nonlinear prediction
139 -- 158Palitha Dassanayake, Keigo Watanabe, Kazuo Kiguchi, Kiyotaka Izumi. Robot manipulator task control with obstacle avoidance using fuzzy behavior-based strategy
159 -- 183Poi Loon Tang, Aun Neow Poo, Clarence W. de Silva. Knowledge-based extension of model-referenced adaptive control with application to an industrial process
185 -- 195Ali Khaki Sedigh, Yazdan Bavafa-Toosi. Design of static linear multivariable output feedback controllers using random optimization techniques
197 -- 213David DeKruger, Jesse Hodge, James C. Bezdek, James M. Keller, Paul D. Gader. Detecting mobile land targets in LADAR imagery with fuzzy algorithms
215 -- 233Mohamed B. Trabia, Linda Zhixia Shi. Design and tuning of a distributed fuzzy logic controller for flexible-Link manipulators

Volume 10, Issue 2

75 -- 85L. Wang, Gang Feng, J. Ma. Fuzzy control approach to a class of continuous time nonlinear systems
87 -- 98Jang-Hyun Park, Gwi-Tae Park. Robust adaptive fuzzy controller for nonlinear system with unknown nonlinearities
99 -- 115Young-Wan Cho, Sung-Ryul Lee, Kyung-Ok Park, Mignon Park. Robust stability of fuzzy feedback linearization control system for Takagi-Sugeno fuzzy model
117 -- 130Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene. Combining neural networks, fuzzy sets, and the evidence theory based techniques for detecting colour specks

Volume 10, Issue 1

1 -- 11Kevin Stanley, Q. M. Jonathan Wu, Clarence W. de Silva. Modular neural-visual servoing with image compression input
13 -- 37Jun Li, Michael G. Parsons. Complete design of fuzzy systems using a real-coded genetic algorithm with imbedded constraints
39 -- 56Spyros G. Tzafestas, Gerasimos G. Rigatos, G. A. Vagelatos. Design of fuzzy gain-scheduled robust controllers using Kharitonov s extremal gain margin theorem
57 -- 73Hwan-Chun Myung, Z. Zenn Bien, Kaoru Hirota. Hybrid rule interval variation (HRIV) method for stabilizing a class of nonlinear systems