Modeling, identification, and real-time control of bucket hydraulic system for a wheel type loader earth moving equipment-Reference-Cited by-同舟云学术

Modeling, identification, and real-time control of bucket hydraulic system for a wheel type loader earth moving equipment

Published:1998-12 Issue:8 Volume:8 Page:863-885
ISSN:0957-4158
Container-title:Mechatronics
language:en
Short-container-title:Mechatronics

Author:

Cobo Mike,Ingram Richard,Cetinkunt Sabri

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference20 articles.

1. Kawamura K, Kamada S, Tochizawa M. Development of Intelligent Hydraulic Excavator—Hyper GX Series SAE 941796.

2. Alekseeva TV, Artemev KA, Bromberg AA, Voitsekhovskii RI, Ulyanov NA. Machines for Earth Moving Work, Theory and Calculations. New Delhi, India: Amerind Publishing Co. Pvt. Ltd, 1985.

3. Seward SW, Bradley DA, Bracewell RH. The development research models for automatic excavation. 5th International Symposium on Robotics in Construction, International Association for Automation of Robotics and Construction 1988, pp. 703–8.

4. Vaha RK, Skibniewski MJ, Koivo AI. Kinematics and trajectory planning for excavation. 1991 ASCE Construction Congress, ASCE, 1991, pp. 100–11.

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