In our work we suggest the most effective ways to reduce the complexity of computing fuzzy inference algorithms, which do not lead to a valuable decrease in the control quality. Our suggestions will be analytically formulated, illustrated with examples and results of model experiments
Fuzzy inference techniques are an attractive and well-established approach for solving control probl...
This paper describes a method for rule base compression of fuzzy systems. The method compresses a fu...
Once a fuzzy controller is specified by a rule-set, it can be implemented in dedicated hardware ol a...
grantor: University of TorontoThe growing trend towards singleton chip fuzzy-inference sys...
A classification of inference systems based on approximate reasoning techniques is proposed. An al...
The conventional interface composition algorithm of a fuzzy controller is very time and memory consu...
. This paper studies computational properties of fuzzy logic deduction and compares them with the st...
Thesis (Ph. D.)--University of Washington, 2004Despite ever-growing processor speed, application of ...
This work presents the design of a fuzzy controller with simplified architecture. This architecture ...
Recently the fuzzy control is widely used as a tool for constructing automatic control systems which...
The paper describes a general-purpose board-level fuzzy inference engine intended primarily for expe...
This paper describes a method for rule base compression of fuzzy systems. The method compresses a fu...
The paper describes an optimization procedure of rules in fuzzy logic reducing the problem to an ins...
Abstract: Conventional fuzzy logic controllers (FLC) are frequently being used to wherever the load ...
In this paper, a new fuzzy logic-based control-design technique is presented. The method aims at red...
Fuzzy inference techniques are an attractive and well-established approach for solving control probl...
This paper describes a method for rule base compression of fuzzy systems. The method compresses a fu...
Once a fuzzy controller is specified by a rule-set, it can be implemented in dedicated hardware ol a...
grantor: University of TorontoThe growing trend towards singleton chip fuzzy-inference sys...
A classification of inference systems based on approximate reasoning techniques is proposed. An al...
The conventional interface composition algorithm of a fuzzy controller is very time and memory consu...
. This paper studies computational properties of fuzzy logic deduction and compares them with the st...
Thesis (Ph. D.)--University of Washington, 2004Despite ever-growing processor speed, application of ...
This work presents the design of a fuzzy controller with simplified architecture. This architecture ...
Recently the fuzzy control is widely used as a tool for constructing automatic control systems which...
The paper describes a general-purpose board-level fuzzy inference engine intended primarily for expe...
This paper describes a method for rule base compression of fuzzy systems. The method compresses a fu...
The paper describes an optimization procedure of rules in fuzzy logic reducing the problem to an ins...
Abstract: Conventional fuzzy logic controllers (FLC) are frequently being used to wherever the load ...
In this paper, a new fuzzy logic-based control-design technique is presented. The method aims at red...
Fuzzy inference techniques are an attractive and well-established approach for solving control probl...
This paper describes a method for rule base compression of fuzzy systems. The method compresses a fu...
Once a fuzzy controller is specified by a rule-set, it can be implemented in dedicated hardware ol a...