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» On Conditions for Linearity of Optimal Estimation
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CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
13 years 7 days ago
On the optimal solutions of the infinite-horizon linear sensor scheduling problem
This paper studies the infinite-horizon sensor scheduling problem for linear Gaussian processes with linear measurement functions. Several important properties of the optimal infin...
Wei Zhang, Michael P. Vitus, Jianghai Hu, Alessand...
ISQED
2009
IEEE
124views Hardware» more  ISQED 2009»
14 years 1 days ago
Revisiting the linear programming framework for leakage power vs. performance optimization
— This paper revisits and extends a general linear programming(LP) formulation to exploit multiple knobs such as multi-Lgate footprint-compatible libraries and post-layout Lgateb...
Kwangok Jeong, Andrew B. Kahng, Hailong Yao
AUTOMATICA
2005
136views more  AUTOMATICA 2005»
13 years 5 months ago
Conjugate Lyapunov functions for saturated linear systems
Based on a recent duality theory for linear differential inclusions (LDIs), the condition for stability of an LDI in terms of one Lyapunov function can be easily derived from that...
Tingshu Hu, Rafal Goebel, Andrew R. Teel, Zongli L...
TEC
2008
115views more  TEC 2008»
13 years 5 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
IPSN
2004
Springer
13 years 10 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