Results 291 to 300 of about 2,970,912 (342)
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Fuzzy inference in rule-based real-time control

Annual Review in Automatic Programming, 1992
Abstract In this paper research into the application of 'expert system'-like inference mechanisms in the field of fuzzy control is adressed. Using techniques from the area of rule-based expert systems, a more flexible way of design and modification is presented of new and existing fuzzy systems for modelling and control.
R. Jager, H.B. Verbruggen, P.M. Bruijn
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Modeling control in rule-based systems

IEEE Software, 1994
The Comex modeling tool (control knowledge modeling and execution tool) focuses on modeling a problem-solving strategy and representing control knowledge, the knowledge of how to select among several problem-solving actions. In addition, Comex has facilities that let you execute early versions of the model to simulate the intended system's behavior and
M. Vestli, I. Nordbo, A. Solvberg
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Fuzzy controller using multiple rule bases

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2005
A new architecture of rule base which is used in multiple inputs fuzzy controller is proposed. Multiple inputs system is very common in practice and it always needs a high order control system to acquire high performance which leads to a multi-dimension rule base for a fuzzy logic control system. High order rule base is not only difficult to understand
null Zhi-Nong Miao   +2 more
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Rule-Based Damping Controller for Statcom

IFAC Proceedings Volumes, 1999
Abstract A fuzzy logic rule-based damping controller for STATCOM has been proposed in this paper. The proposed controller has two control loops. One is voltage control, with traditional PI control; the other is damping control, with the proposed rule-based controller. The input signal to the voltage control loop is the terminal voltage, and the input
Fei Shen, Chun Li, Zhonghong Wang
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Rule-Based Access Control for Social Networks

2006
Web-based social networks (WBSNs) are online communities where participants can establish relationships and share resources across the Web with other users In recent years, several WBSNs have been adopting Semantic Web technologies, such as FOAF, for representing users' data and relationships, making it possible to enforce information interchange ...
CARMINATI, BARBARA   +2 more
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Probabilistic intuitionistic fuzzy rule based controller

The 5th International Conference on Automation, Robotics and Applications, 2011
This paper explores the connections between intuitionistic fuzzy logic and probability to discover the potential of the combination of these two forms of uncertainty in modeling of the real world events. We have defined intuitionistic fuzzy set on probabilistic spaces and discussed its links with evidence theory.
M. Agarwal, K. K Biswas, M. Hanmandlu
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Rule-based balanced energy controller

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999
The aim of the paper is to present a nonlinear rule based balanced energy control scheme, its synthesis and digital implementation. The plant under consideration is a rotating shaft magnetically suspended by means of two multi-axis hybrid active magnetic bearing (AMB) actuators in order to control five degrees of freedom.
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Rule-based real-time control systems

26th IEEE Conference on Decision and Control, 1987
The premise that one can obtain more effective control systems with less engineering effort, less technical risk, and less cost via the use of artificial intelligence techniques is explored in this paper. In particular, we discuss, develop, and illustrate the use of a rule-based system for real-time control as a software environment that can be used ...
James Taylor, Richard Gerhardt, E. Luce
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Controller tuning via rule based identification

Transactions of the Institute of Measurement and Control, 1993
Based on the recently developed rule based identification algorithm of Wang and Jones (1991), this paper presents a new algorithm for controller tuning in unit feedback control systems. In the paper, the rule based identification algorithm is used directly to identify the model between the reference step input and the integral of the tracking error ...
Wang, H., Daley, S.
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Process control and machine learning: rule-based incremental control

IEEE Transactions on Automatic Control, 1994
In this paper, we discuss a rule-based incremental control program which has been used for controlling a laser cutting robot and in simulation for driving a car on a track, for a car parking manoeuvre, or for parking a truck with one trailer. The core of the paper concerns a learning program, Candide, which learns to control a process without a priori ...
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