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TSMC
2008
177views more  TSMC 2008»
12 years 1 months ago
Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
JCP
2008
144views more  JCP 2008»
12 years 3 months ago
A Neural Network Controller for Trajectory Control of Industrial Robot Manipulators
This paper addresses the issue of trajectory tracking control based on a neural network controller for industrial manipulators. A new control scheme is proposed based on neural net...
Zhao-Hui Jiang, Taiki Ishida
AUSAI
2008
Springer
12 years 5 months ago
Using Gaussian Processes to Optimize Expensive Functions
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
Marcus R. Frean, Phillip Boyle
ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
12 years 7 months ago
Neural Network Controller for Constrained Robot Manipulators
In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
Shenghai Hu, Marcelo H. Ang, Hariharan Krishnan
IJCNN
2007
IEEE
12 years 9 months ago
Toyota Prius HEV neurocontrol
A neural network controller for improved fuel ef´Čüciency of the Toyota Prius hybrid electric vehicle is proposed. A new method to detect and mitigate a battery fault is also pres...
Danil V. Prokhorov
MIG
2009
Springer
12 years 10 months ago
Evolved Controllers for Simulated Locomotion
Abstract. We present a system for automatically evolving neural networks as physics-based locomotion controllers for humanoid characters. Our approach provides two key features: (a...
Brian F. Allen, Petros Faloutsos
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