Soft computing system using fuzzy clustering and on-line learning. - Chunshien Li; Kuo-Hsiang Cheng (IROS, 2002)

Pseudoerror-based self-organizing neuro-fuzzy system. - Chunshien Li; Chun-Yi Lee; Kuo-Hsiang Cheng (IEEE Trans. Fuzzy Syst., 2004)

Self-organizing intelligent system and its application for hard disk drive control. - Chunshien Li; Kuo-Hsiang Cheng; Jin-Long Chen; Chih-Ming Chen (ACC, 2005)

Cluster-Based Self-organizing Neuro-fuzzy System with Hybrid Learning Approach for Function Approximation. - Chunshien Li; Kuo-Hsiang Cheng; Chih-Ming Chen; Jin-Long Chen (ICNC (3), 2005)

Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets. - Chunshien Li; Kuo-Hsiang Cheng; Jiann-Der Lee (ICTAI, 2005)

RO-Based Self-Organizing Neuro-Fuzzy Approach for HDD Positioning Control. - Chunshien Li; Kuo-Hsiang Cheng; Jin-Long Chen; Chih-Ming Chen (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005)

Hybrid Evolutionary Soft-Computing Approach for Unknown System Identification. - Chunshien Li; Kuo-Hsiang Cheng; Zen-Shan Chang; Jiann-Der Lee (IEICE Trans. Inf. Syst., 2006)

Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling. - Chunshien Li; Kuo-Hsiang Cheng (Fuzzy Sets Syst., 2007)

Fuzzy-Neural Sliding-Mode Control for DC-DC Converters Using Asymmetric Gaussian Membership Functions. - Kuo-Hsiang Cheng; Chun-Fei Hsu; Chih-Min Lin; Tsu-Tian Lee; Chunshien Li (IEEE Trans. Ind. Electron., 2007)

Recurrent fuzzy-neural approach for nonlinear control using dynamic structure learning scheme. - Chun-Fei Hsu; Kuo-Hsiang Cheng (Neurocomputing, 2008)

Hybrid learning-based neuro-fuzzy inference system: a new approach for system modeling. - Kuo-Hsiang Cheng (Int. J. Syst. Sci., 2008)

CMAC-based neuro-fuzzy approach for complex system modeling. - Kuo-Hsiang Cheng (Neurocomputing, 2009)

Robust wavelet-based adaptive neural controller design with a fuzzy compensator. - Chun-Fei Hsu; Kuo-Hsiang Cheng; Tsu-Tian Lee (Neurocomputing, 2009)

Auto-structuring fuzzy neural system for intelligent control. - Kuo-Hsiang Cheng (J. Frankl. Inst., 2009)

Adaptive fuzzy CMAC-based nonlinear control with dynamic memory architecture. - Kuo-Hsiang Cheng (J. Frankl. Inst., 2011)

Self-structuring fuzzy-neural backstepping control with a B-spline-based compensator. - Kuo-Hsiang Cheng (Neurocomputing, 2013)

Adaptive B-spline-based fuzzy sliding-mode control for an auto-warehousing crane system. - Kuo-Hsiang Cheng (Appl. Soft Comput., 2016)