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TFS
2008
138views more  TFS 2008»
14 years 9 months ago
Robust Adaptive Backstepping Motion Control of Linear Ultrasonic Motors Using Fuzzy Neural Network
A robust adaptive fuzzy neural network (RAFNN) backstepping control system is proposed to control the position of an - -2motion control stage using linear ultrasonic motors (LUSMs)...
Faa-Jeng Lin, Po-Huang Shieh, Po-Huan Chou
ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 2 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
CDC
2008
IEEE
152views Control Systems» more  CDC 2008»
15 years 4 months ago
Discrete-time sliding mode neural observer for continuous time mechanical systems
— This paper proposes a novel discrete­time veloc­ ity observer which uses neural network and sliding mode for unknown continuous time mechanical systems. The neural observer i...
Juan Resendiz, Wen Yu, Leonid M. Fridman
NN
1998
Springer
14 years 9 months ago
Neural control of rhythmic arm movements
In this paper we present an approach to robot arm control based on exploiting the dynamical properties of a simple neural network oscillator circuit coupled to the joints of an ar...
Matthew M. Williamson
IJCNN
2007
IEEE
15 years 4 months ago
Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System
Abstract— Each time more grows the necessity of guaranteeing itself security and trustworthiness of the equipment during the execution of the industrials processes. Then, it is v...
Raphaela G. Fernandes, Diego R. Cabral Silva, Luiz...