A data-driven approach in designing RST controllers with H∞ performance via convex optimization.
Achille NicolettiZlatko EmediAlireza KarimiPublished in: CDC (2015)
Keyphrases
- convex optimization
- interior point methods
- low rank
- total variation
- convex programming
- primal dual
- convex optimization problems
- norm minimization
- convex relaxation
- augmented lagrangian
- convex formulation
- reinforcement learning
- convex constraints
- operator splitting
- machine learning
- semi definite programming
- natural images
- markov random field
- denoising
- pairwise
- multiscale
- feature selection