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IJCNN
2007
IEEE
15 years 4 months ago
A Neural Network-based Learning Controller for Micro-sized Object Micromanipulation
Abstract— In this paper, automated micro-sized objects manipulation is investigated. The novelty of the proposed method lies on the compensation of all the nonlinear scaling forc...
Mohsen Shahini, William W. Melek, John T. W. Yeow
ISCAS
1999
IEEE
300views Hardware» more  ISCAS 1999»
15 years 2 months ago
Ripple correlation control, with some applications
Ripple correlation control is a nonlinear control approach applicable to power electronic circuits. It makes use of voltage, current, or power ripple and correlates this with swit...
P. T. Krein
AUTOMATICA
2004
83views more  AUTOMATICA 2004»
14 years 10 months ago
Extremum seeking control for soft landing of an electromechanical valve actuator
Many electromagnetic actuators suffer from high velocity impacts. One such actuator is the electromechanical valve actuator, recently receiving attention for enabling variable val...
Katherine S. Peterson, Anna G. Stefanopoulou
TSMC
2008
110views more  TSMC 2008»
14 years 10 months ago
Adaptive Lyapunov-Based Control of a Robot and Mass-Spring System Undergoing an Impact Collision
The control of dynamic systems that undergo an impact collision is both theoretically challenging and of practical importance. An appeal of studying systems that undergo an impact ...
Keith Dupree, Chien-Hao Liang, Guoqiang Hu, Warren...
ICRA
2006
IEEE
114views Robotics» more  ICRA 2006»
15 years 4 months ago
Constrained Control for Surgical Assistant Robots
— This paper presents an approach to implement virtual fixtures for surgical robot assistants. Our approach uses a weighted, multi-objective (both linear and nonlinear) constrai...
Ankur Kapoor, Ming Li, Russell H. Taylor