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» Nonlinear Predictive Control with a Gaussian Process Model
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AUTOMATICA
2006
132views more  AUTOMATICA 2006»
15 years 1 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
JOCN
2010
111views more  JOCN 2010»
15 years 8 days ago
Coordinated Roles of Motivation and Perception in the Regulation of Intergroup Responses: Frontal Cortical Asymmetry Effects on
■ Self-regulation is believed to involve changes in motivation and perception that function to promote goal-driven behavior. However, little is known about the way these process...
David M. Amodio
101
Voted
WSC
2008
15 years 4 months ago
Modeling and simulation of integrated intelligent systems
Complex systems consist of a large number of entities with their independent local rules and goals, along with their interactions. The effect of these properties tends to produce ...
Yongchang Li, Michael Balchanos, Bassem Nairouz, N...
CORR
2011
Springer
188views Education» more  CORR 2011»
14 years 8 months ago
Information-Theoretic Viewpoints on Optimal Causal Coding-Decoding Problems
—In this paper we consider an interacting two-agent sequential decision-making problem consisting of a Markov source process, a causal encoder with feedback, and a causal decoder...
Siva K. Gorantla, Todd P. Coleman
114
Voted
DANCE
2002
IEEE
15 years 6 months ago
Modeling CPU Demand in Heterogeneous Active Networks
Active-network technology envisions deploying execution environments in network elements so that application-specific processing can be applied to network traffic. To provide safe...
Virginie Galtier, Kevin L. Mills, Yannick Carlinet