86 citations · 532 across the 35 of their papers we have counts for
6 papers · 2 filters
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…
Degeneracy in Maximal Clique Decomposition for Semidefinite Programs
Arvind U. Raghunathan, Andrew V. Knyazev
Exploiting sparsity in Semidefinite Programs (SDP) is critical to solving large-scale problems. The chordal completion based maximal clique decomposition is the preferred approach…
Preconditioned Continuation Model Predictive Control
Andrew Knyazev, Yuta Fujii, 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. A Con…