86 citations · 532 across the 35 of their papers we have counts for
13 papers · 1 filter
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…
Efficient particle continuation model predictive control
Andrew Knyazev, Alexander Malyshev
Continuation model predictive control (MPC), introduced by T. Ohtsuka in 2004, uses Krylov-Newton approaches to solve MPC optimization and is suitable for nonlinear and minimum tim…
Continuation model predictive control on smooth manifolds
Andrew Knyazev, Alexander Malyshev
Model predictive control (MPC) anticipates future events to take appropriate control actions. Nonlinear MPC (NMPC) describes systems with nonlinear models and/or constraints. Conti…
Explicit model predictive control accuracy analysis
Andrew Knyazev, Peizhen Zhu, Stefano Di Cairano
Model Predictive Control (MPC) can efficiently control constrained systems in real-time applications. MPC feedback law for a linear system with linear inequality constraints can be…