The following publications are possibly variants of this publication:
- Direct adaptive iterative learning control of nonlinear systems using an output-recurrent fuzzy neural networkYing-Chung Wang, Chiang-Ju Chien, Ching-Cheng Teng. tsmc, 34(3):1348-1359, 2004. [doi]
- Fuzzy system-based adaptive iterative learning control for nonlinear plants with initial state errorsChiang-Ju Chien, Chun-Te Hsu, Chia-Yu Yao. tfs, 12(5):724-732, 2004. [doi]
- Reinforcement fuzzy-neural adaptive iterative learning control for nonlinear systemsYing-Chung Wang, Chiang-Ju Chien, Der-Tsai Lee. icarcv 2008: 733-738 [doi]
- Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controllerWei-Yen Wang, Yih-Guang Leu, Tsu-Tian Lee. fss, 140(2):341-358, 2003. [doi]
- A Combined Adaptive Law for Fuzzy Iterative Learning Control of Nonlinear Systems With Varying Control TasksChiang-Ju Chien. tfs, 16(1):40-51, 2008. [doi]
- H::∞:: tracking-based decentralized hybrid adaptive output feedback fuzzy control for a class of large-scale nonlinear systemsYi-Shao Huang, Dong-Sheng Xiao, Xiao-Xin Chen, Qi-Xin Zhu, Zheng-Wu Wang. fss, 171(1):72-92, 2011. [doi]