[1]
Wang, L. X., Stable adaptive fuzzy control of nonlinear systems, IEEE Transactions on Fuzzy Systems, 1993, 1(2): 146-155.
DOI: 10.1109/91.227383
Google Scholar
[2]
Tong S.C., Tang J.T., Wang T., Fuzzy adaptive control of multivariable nonlinear systems, Fuzzy Sets and Systems, 2000, 111 (2): 153-167.
DOI: 10.1016/s0165-0114(98)00052-9
Google Scholar
[3]
Tong S.C., Li Y.M., Observer-based fuzzy adaptive control for strict-feedback nonlinear systems, Fuzzy Sets and Systems, 2009, 160(12): 1749-1764.
DOI: 10.1016/j.fss.2008.09.004
Google Scholar
[4]
Chen W.S., Zhang Z.Q., Globally stable adaptive backstepping fuzzy control for output-feedback systems with unknown high-frequency gain sign, Fuzzy Sets and Systems, 2010, 161(6): 821-836.
DOI: 10.1016/j.fss.2009.10.026
Google Scholar
[5]
Chen B., Liu X.P., Liu K.F., Shi P., Lin C., Direct adaptive fuzzy control for nonlinear systems with time-varying delays, Information Sciences, 2010, 180(5): 776-792.
DOI: 10.1016/j.ins.2009.11.004
Google Scholar
[6]
Luo, L., Wang, Y.H., Fan, Y.Q., Zhang, Y., Adaptive control for a class of nonlinear pure-feedback systems based on partition of unity back-stepping approach, ICIC Express Letters, 2011, 5(3): 707-712.
Google Scholar
[7]
Luo, L., Wang, Y.H., Fan, Y.Q., Zhang, Y., Direct Adaptive Control of Nonlinear Strict Feed back Systems Via Backstepping and Partition of Unity Approach, ICIC Express Letters, Part B: Applications,2012, 3: 493-500.
Google Scholar
[8]
Zhou S. M., Gan J. Q., Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modeling, Fuzzy Sets and Systems, 2008, 159: 3091-3031.
DOI: 10.1016/j.fss.2008.05.016
Google Scholar
[9]
zhang D. Y., Wang S. T., Han B. and Hu D., a class of new fuzzy inference systems with linearly parameter growth and without any rule base, information technology journal, 2007, 6(5): 704-710.
DOI: 10.3923/itj.2007.704.710
Google Scholar
[10]
Wang M. ,Chen B. ,Dai S. L., Direct Adaptive Fuzzy Tracking Control for a Class of Perturbed Strict-Feedback Nonlinear Systems, Fuzzy Sets and Systems,2007,158 (24): 2655-2670.
DOI: 10.1016/j.fss.2007.06.001
Google Scholar
[11]
Wang M. ,Chen B. ,Liu X.P., Shi P., Adaptive Fuzzy Tracking Control for a Class of Perturbed Strict-Feedback Nonlinear Time-Delay Systems, Fuzzy Sets and Systems, 2008, 159(8): 949-967.
DOI: 10.1016/j.fss.2007.12.022
Google Scholar
[12]
Slotine J. J., Li W., Applied Nonlinear Control, Englewood Cliffs, NJ: Prentice-Hall, (1991).
Google Scholar
[13]
Tang Y. Z., Zhang N. Y. and Li Y. D., Stable fuzzy adaptive control for a class of nonlinear systems, Fuzzy Sets and Systems, 1999, 104: 278-288.
DOI: 10.1016/s0165-0114(97)00205-4
Google Scholar
[14]
Shahnazi R. and Akbarzadeh-T M. R., Robust PI adaptive fuzzy control with large and fast disturbance rejection for a class of uncertain nonlinear systems, IEEE Trans. Fuzzy Systems, 2008, 1616(1): 187-197.
DOI: 10.1109/tfuzz.2007.903320
Google Scholar