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Chaio-Shiung Chen
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2010 – 2019
- 2011
- [j13]Chaio-Shiung Chen:
Quadratic optimal synchronization of uncertain chaotic systems. Appl. Math. Comput. 217(24): 10377-10386 (2011) - [j12]Chaio-Shiung Chen, Wen-Chi Lin:
Self-adaptive interval type-2 neural fuzzy network control for PMLSM drives. Expert Syst. Appl. 38(12): 14679-14689 (2011) - [j11]Chaio-Shiung Chen:
Robust Self-Organizing Neural-Fuzzy Control With Uncertainty Observer for MIMO Nonlinear Systems. IEEE Trans. Fuzzy Syst. 19(4): 694-706 (2011) - 2010
- [j10]Chaio-Shiung Chen:
Chaotic Secure Communication with Quadratic Optimal Performance via LMI-Based Observer Design. Int. J. Bifurc. Chaos 20(10): 3311-3322 (2010)
2000 – 2009
- 2009
- [j9]Chaio-Shiung Chen:
Quadratic optimal neural fuzzy control for synchronization of uncertain chaotic systems. Expert Syst. Appl. 36(9): 11827-11835 (2009) - [j8]Chaio-Shiung Chen:
Dynamic structure adaptive neural fuzzy control for MIMO uncertain nonlinear systems. Inf. Sci. 179(15): 2676-2688 (2009) - 2008
- [j7]Chaio-Shiung Chen:
Adaptive fuzzy control systems with dynamic structure. Int. J. Syst. Sci. 39(2): 163-172 (2008) - [j6]Chaio-Shiung Chen:
Dynamic Structure Neural-Fuzzy Networks for Robust Adaptive Control of Robot Manipulators. IEEE Trans. Ind. Electron. 55(9): 3402-3414 (2008) - 2003
- [j5]Chaio-Shiung Chen:
Design of stable fuzzy control systems using Lyapunov's method in fuzzy hypercubes. Fuzzy Sets Syst. 139(1): 95-110 (2003) - 2002
- [j4]Chaio-Shiung Chen, Wen-Liang Chen:
Robust fuzzy controller design of nonlinear dynamic systems based on H ∞ optimal criterion. Int. J. Syst. Sci. 33(12): 1013-1023 (2002)
1990 – 1999
- 1998
- [j3]Chaio-Shiung Chen, Wen-Liang Chen:
Analysis and design of a stable fuzzy control system. Fuzzy Sets Syst. 96(1): 21-35 (1998) - [j2]Chaio-Shiung Chen, Wen-Liang Chen:
Robust adaptive sliding-mode control using fuzzy modeling for an inverted-pendulum system. IEEE Trans. Ind. Electron. 45(2): 297-306 (1998) - 1996
- [j1]Chaio-Shiung Chen, Wen-Liang Chen:
Robust model reference adaptive control of nonlinear systems using fuzzy systems. Int. J. Syst. Sci. 27(12): 1435-1442 (1996)
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