A Dwi-Phase Fuzzy Control Structure for an Auto-mode Stair Climbing Wheelchair

Author(s):  
N.M.A Ghani ◽  
M.O. Tokhi
2012 ◽  
Vol 85 (12) ◽  
pp. 1898-1912 ◽  
Author(s):  
Salvador Carlos Hernández ◽  
Edgar N. Sanchez ◽  
Jean-François Béteau

2013 ◽  
Vol 4 ◽  
pp. 18-25 ◽  
Author(s):  
N.M.A. Ghani ◽  
A.N.K. Nasir ◽  
M.A.H. Hassan ◽  
M.O. Tokhi
Keyword(s):  

2011 ◽  
Vol 109 ◽  
pp. 306-310
Author(s):  
Zhi Yong Zhang ◽  
Xin Liu ◽  
Cai Xia Huang

A control structure, integrated with the virtue of high approximate capability of neural network, strong adaptability of gray prediction and strong robustness of fuzzy control, is proposed in this paper, in which the time-delay identify, varying step response predict and fuzzy control are achieved at one time. The results of computer simulation indicate that the control scheme can dramatically satisfy the desire of fast dynamic response and stability.


2013 ◽  
Vol 397-400 ◽  
pp. 1337-1340
Author(s):  
Xian Jie Meng ◽  
Juan Wang ◽  
Yu Cheng Wang

In this paper, the application of fuzzy control algorithm in duct active noise control technology was studied, according to the problem of secondary acoustical feedback existing in feedforward control structure (FCS) adaptive active noise control (AANC) system, a reverse control structure of fuzzy active noise control (FANC) system was established. Through Matlab software the fuzzy control algorithm was simulated, and the simulation results showed that it has a good convergence and stability in the FANC system.


2008 ◽  
Vol 196 (3) ◽  
pp. 291-304 ◽  
Author(s):  
N. Kanagaraj ◽  
R. Kumar ◽  
P. Sivashanmugam

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