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CDC
2009
IEEE
194views Control Systems» more  CDC 2009»
14 years 1 months ago
Robust tube-based MPC for constrained mobile robots under slip conditions
— This paper focuses on the design of a robust tube-based Model Predictive Control law for the control of constrained mobile robots. A time-varying trajectory tracking error mode...
Ramon Gonzalez, Mirko Fiacchini, Jose Luis Guzman,...
ICML
1997
IEEE
14 years 10 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
AEI
2005
102views more  AEI 2005»
13 years 9 months ago
Manufacturing planning and predictive process model integration using software agents
Intelligent agents provide a means to integrate various manufacturing software applications. The agents are typically executed in a computer-based collaborative environment, refer...
Shaw C. Feng, Keith A. Stouffer, Kevin K. Jurrens
JSAC
2007
180views more  JSAC 2007»
13 years 9 months ago
A Cross-Layer Approach for WLAN Voice Capacity Planning
— This paper presents an analytical approach to determining the maximum number of on/off voice flows that can be supported over a wireless local area network (WLAN), under a qua...
Yu Cheng, Xinhua Ling, Wei Song, Lin X. Cai, Weihu...
ICML
2004
IEEE
14 years 10 months ago
Learning and discovery of predictive state representations in dynamical systems with reset
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
Michael R. James, Satinder P. Singh