10 citations · 32 across the 11 of their papers we have counts for
11 papers
Signal reconstruction via operator guiding
Andrew Knyazev, Alexander Malyshev
Signal reconstruction from a sample using an orthogonal projector onto a guiding subspace is theoretically well justified, but may be difficult to practically implement. We propose…
Preconditioned warm-started Newton-Krylov methods for MPC with discontinuous control
Andrew Knyazev, Alexander Malyshev
We present Newton-Krylov methods for efficient numerical solution of optimal control problems arising in model predictive control, where the optimal control is discontinuous. As in…
Least squares dynamics in Newton-Krylov Model Predictive Control
Andrew Knyazev, Alexander Malyshev
Newton-Krylov methods for nonlinear Model Predictive Control are pioneered by T. Ohtsuka under the name "C/GMRES". Ohtsuka eliminates a system state over the horizon from Karush-Ku…
Accelerated graph-based nonlinear denoising filters
Andrew Knyazev, Alexander Malyshev
Denoising filters, such as bilateral, guided, and total variation filters, applied to images on general graphs may require repeated application if noise is not small enough. We for…
Sparse preconditioning for model predictive control
Andrew Knyazev, Alexander Malyshev
We propose fast O(N) preconditioning, where N is the number of gridpoints on the prediction horizon, for iterative solution of (non)-linear systems appearing in model predictive co…
Preconditioning for continuation model predictive control
Andrew Knyazev, Alexander Malyshev
Model predictive control (MPC) anticipates future events to take appropriate control actions. Nonlinear MPC (NMPC) deals with nonlinear models and/or constraints. A Continuation/GM…