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IPSN
2004
Springer
14 years 1 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
CDC
2009
IEEE
379views Control Systems» more  CDC 2009»
13 years 11 months ago
Receding horizon cost optimization for overly constrained nonlinear plants
— A receding horizon control algorithm, originally proposed for tracking best-possible steady-states in the presence of overly stringent state and/or input constraints, is analyz...
David Angeli, Rishi Amrit, James B. Rawlings
CORR
2010
Springer
92views Education» more  CORR 2010»
13 years 8 months ago
Spatial multiplexing with MMSE receivers: Single-stream optimality in ad hoc networks
The performance of spatial multiplexing systems with linear minimum-mean-squared-error receivers is investigated in ad hoc networks. It is shown that single-stream transmission is ...
Raymond H. Y. Louie, Matthew R. McKay, Nihar Jinda...
ATAL
2010
Springer
13 years 9 months ago
Optimal temporal decoupling in multiagent systems
When agents need to interact in order to solve some (possibly common) problem, resolving potential conflicts beforehand is often preferred to coordination during execution. Agents...
Léon Planken, Mathijs de Weerdt, Cees Witte...
CONSTRAINTS
2008
117views more  CONSTRAINTS 2008»
13 years 8 months ago
Domain Specific High-Level Constraints for User Interface Layout
We present the Auckland Layout Model (ALM), a constraint-based technique for specifying 2D layout as it is used for arranging the controls in a GUI. Most GUI frameworks offer layo...
Christof Lutteroth, Robert Strandh, Gerald Weber