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HYBRID
2007
Springer
14 years 1 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
HYBRID
2009
Springer
14 years 2 months ago
Automatic Synthesis of Robust and Optimal Controllers - An Industrial Case Study
Franck Cassez, Jan Jakob Jessen, Kim Guldstrand La...
ICIP
2006
IEEE
14 years 9 months ago
A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation
This study investigates a new multiphase minimization scheme which embeds a simple, efficient partition constraint directly in multiple level set evolution. Starting from an arbit...
Ismail Ben Ayed, Amar Mitiche
IJCNN
2000
IEEE
13 years 12 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan
JCO
2011
63views more  JCO 2011»
12 years 10 months ago
Robust multi-sensor scheduling for multi-site surveillance
This paper presents mathematical programming techniques for solving a class of multi-sensor scheduling problems. Robust optimization problems are formulated for both deterministic ...
Nikita Boyko, Timofey Turko, Vladimir Boginski, Da...