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CIMCA
2006
IEEE
14 years 1 months ago
Direct Adaptive Fuzzy Control with Less Restrictions on the Control Gain
: In the adaptive fuzzy control field for affine nonlinear systems, there are two basic configurations: direct and indirect. It is well known that the direct configuration needs mo...
Phi Anh Phan, Timothy J. Gale
JIRS
1998
121views more  JIRS 1998»
13 years 7 months ago
Application of Model Reference Adaptive Control to Industrial Robot Impedance Control
Abstract. The paper deals with the application of model reference adaptive control to robot impedance control, which is actually a technique of steering the end-effector on a presc...
Roman Kamnik, Drago Matko, Tadej Bajd
TROB
2002
121views more  TROB 2002»
13 years 7 months ago
Adaptive force control of position/velocity controlled robots: theory and experiment
This paper addresses the problem of achieving exact dynamic force control with manipulators possessing the low-level position and/or velocity controllers typically employed in indu...
Jaydeep Roy, Louis L. Whitcomb
SOCO
2002
Springer
13 years 7 months ago
A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlin
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
Yakov Frayman, Lipo Wang
HPCA
2011
IEEE
12 years 11 months ago
Mercury: A fast and energy-efficient multi-level cell based Phase Change Memory system
― Phase Change Memory (PCM) is one of the most promising technologies among emerging non-volatile memories. PCM stores data in crystalline and amorphous phases of the GST materia...
Madhura Joshi, Wangyuan Zhang, Tao Li