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110
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TSMC
2002
136views more  TSMC 2002»
15 years 3 months ago
Expertness based cooperative Q-learning
By using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rules for unseen situations. These benefits would be ...
Majid Nili Ahmadabadi, Masoud Asadpour
EUSFLAT
2001
127views Fuzzy Logic» more  EUSFLAT 2001»
15 years 5 months ago
Validation of the control quality of characteristic field based fuzzy controllers
Rule based systems for Fuzzy Control, Fuzzy Supervising and Fuzzy Diagnosis are non-linear multi-input, multi-output systems. The result of the signal processing within the system...
Rainer Hampel, Nasredin Chaker
144
Voted
JCP
2008
124views more  JCP 2008»
15 years 3 months ago
Novel Fuzzy Logic Controllers with Self-Tuning Capability
Two controllers which extend the PD+I fuzzy logic controller to deal with the plant having time varying nonlinear dynamics are proposed. The adaptation ability of the first self tu...
Fong Chwee Teng, Ahmad Lotfi, Ah Chung Tsoi
VL
2000
IEEE
158views Visual Languages» more  VL 2000»
15 years 8 months ago
A Common Framework for Input, Processing, and Output in a Rule-Based Visual Language
Isaac is a programing language for geometric reasoning intended for controlling mobile robots, currently under development at NMSU. Due to the application area, handling input and...
Joseph J. Pfeiffer Jr., Rick L. Vinyard Jr., Berna...
TSE
2002
83views more  TSE 2002»
15 years 3 months ago
Optimum Control Limits for Employing Statistical Process Control in Software Process
There is an increased interest in using control charts for monitoring and improving software processes, particularly quality control processes like reviews and testing. In a contro...
Pankaj Jalote, Ashish Saxena