276 search results - page 20 / 56 » Global Optimization of Probabilistically Constrained Linear ... |
ISCAS
2005
IEEE
14 years 1 months ago
2005
IEEE
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
AUTOMATICA
2002
13 years 8 months ago
2002
Conventional MPC uses quadratic programming (QP) to minimise, on-line, a cost over n linearly constrained control moves. However, stability constraints often require the use of la...
IAT
2009
IEEE
14 years 2 months ago
2009
IEEE
—This paper proposes a method of learning a similarity matrix from pairwise constraints for interactive clustering. The similarity matrix can be learned by solving an optimizatio...
ICNSC
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, a variance constrained filtering problem is considered for systems with both non-Gaussian noises and polytopic uncertainty. A novel filter is developed to estimate t...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...