Implementing Fuzzy Learning Algorithms in a 6 DOF Hydraulic Parallel Link Manipulator: Actuators' Fuzzy Modeling

2002 ◽  
Vol 14 (4) ◽  
pp. 408-419 ◽  
Author(s):  
Zakarya Zyada ◽  
◽  
Yasuhisa Hasegawa ◽  
Gancho Vachkov ◽  
Toshio Fukuda
Keyword(s):  
Fuzzy Model ◽  
Fuzzy Rule ◽  
Rule Base ◽  
Hydraulic Actuator ◽  
Fuzzy Rule Base ◽  
Learning Rules ◽  
Model Rule ◽  
Parallel Link ◽  
Fuzzy Learning ◽  
Good Agreement

A fuzzy-logic-based model, suitable for force control, for each hydraulic actuator of a parallel link manipulator is presented. Constructing the fuzzy model rule base mainly consists of 2 stages: (1) learning rules from examples for the known acquired input/output data of the hydraulic actuators and (2) completing unknown fuzzy rules from heuristics and experience based on the logic of actuators' behavior. We first present the algorithm of fuzzy-rule base modeling and its application for one actuator. We then present fuzzy rule base results characterizing each hydraulic actuator, differing from one to another, of a 6 DOF parallel link manipulator. Simulation output results from fuzzy models show good agreement with experimental results.

Fuzzy Rule Base Design With Probabilistic Weights

2016 ◽  
Author(s):  
Leonardo G. Melo ◽  
Luís A. Lucas ◽  
Myriam R. Delgado
Keyword(s):  
Fuzzy Rule ◽  
Rule Base ◽  
Fuzzy Rule Base ◽  
Base Design

Congestion Control Using Soft Computing

2010 ◽  
pp. 271-289
Author(s):  
T. Revathi ◽  
K. Muneeswaran
Keyword(s):  
Queue Length ◽  
Fuzzy Rule ◽  
Vital Role ◽  
Rate Of Change ◽  
Rule Base ◽  
Queue Management ◽  
Internet Routers ◽  
Fuzzy Rule Base ◽  
The Status

In the recent Internet era the queue management in the routers plays a vital role in the provision of Quality of Service (QoS). Virtual queue-based marking schemes have been recently proposed for Active Queue Management (AQM) in Internet routers. In this chapter, the authors propose Fuzzy enabled AQM (F-AQM) scheme where the linguistics variables are used to specify the behavior of the queues in the routers. The status of the queue is continuously monitored and decisions are made adaptively to drop or mark the packets as is done in Random Early Discard (RED) and Random Early Marking (REM) algorthms or schemes. The authors design a fuzzy rule base represented in the form of matrix indexed by queue length and rate of change of queue. The performance of the proposed F-AQM scheme is compared with several well-known AQM schemes such as RED, REM and Adaptive Virtual Queue (AVQ).

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