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» On the computation of linear model predictive control laws
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ESSMAC
2003
Springer
15 years 5 months ago
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Joaquin Quiñonero Candela, Carl Edward Rasm...
DAC
2005
ACM
16 years 24 days ago
Energy optimal speed control of devices with discrete speed sets
We obtain analytically, the energy optimal speed profile of a generic multi-speed device with a discrete set of speeds, to execute a given task within a given time. Current implem...
Ravishankar Rao, Sarma B. K. Vrudhula
ICML
2006
IEEE
16 years 20 days ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
DAC
2000
ACM
16 years 24 days ago
Practical iterated fill synthesis for CMP uniformity
We propose practical iterated methods for layout density control for CMP uniformity, based on linear programming, Monte-Carlo and greedy algorithms. We experimentally study the tr...
Yu Chen, Andrew B. Kahng, Gabriel Robins, Alexande...
AUTOMATICA
2008
127views more  AUTOMATICA 2008»
14 years 12 months ago
On decentralized negotiation of optimal consensus
A consensus problem consists of finding a distributed control strategy that brings the state or output of a group of agents to a common value, a consensus point. In this paper, we...
Björn Johansson, Alberto Speranzon, Mikael Jo...