A global piecewise smooth Newton method for fast large-scale model predictive control
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Publication:644265
DOI10.1016/j.automatica.2011.05.024zbMath1231.65110OpenAlexW1985496293MaRDI QIDQ644265
Panagiotis Patrinos, Haralambos Sarimveis, Pantelis Sopasakis
Publication date: 3 November 2011
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2011.05.024
Related Items (12)
Robust and nonlinear control literature survey (No. 27) ⋮ A primal‐dual active‐set method for distributed model predictive control ⋮ Forward-backward quasi-Newton methods for nonsmooth optimization problems ⋮ Recent advances in quadratic programming algorithms for nonlinear model predictive control ⋮ Fast model predictive control combining offline method and online optimization with K-D tree ⋮ FBstab: a proximally stabilized semismooth algorithm for convex quadratic programming ⋮ Embedded MPC Controller Based on Interior-Point Method with Convergence Depth Control ⋮ A global piecewise smooth Newton method for fast large-scale model predictive control ⋮ Complexity and convergence certification of a block principal pivoting method for box-constrained quadratic programs ⋮ Dominant speed factors of active set methods for fast MPC ⋮ Automatically generated embedded model predictive control: Moving an industrial PC‐based MPC to an embedded platform ⋮ Optimal control applications and methods literature survey (No. 27)
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Cites Work
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- A global piecewise smooth Newton method for fast large-scale model predictive control
- Fast, large-scale model predictive control by partial enumeration
- On Newton's method for Huber's robust M-estimation problems in linear regression
- Error bounds and convergence analysis of feasible descent methods: A general approach
- Application of interior-point methods to model predictive control
- Constrained model predictive control: Stability and optimality
- Finite algorithms for robust linear regression
- EXTENSION OF NEWTON AND QUASI-NEWTON METHODS TO SYSTEMS OF PC^1 EQUATIONS
- On the Linear Convergence of Descent Methods for Convex Essentially Smooth Minimization
- On the Implementation of a Primal-Dual Interior Point Method
- A New Algorithm for Solving Strictly Convex Quadratic Programs
- A finite newton method for classification
- The BPMPD interior point solver for convex quadratic problems
- Finite-Dimensional Variational Inequalities and Complementarity Problems
- Error Bounds for Piecewise Convex Quadratic Programs and Applications
- An online active set strategy to overcome the limitations of explicit MPC
- Efficient MPC optimization using Pontryagin's minimum principle
- Equivalence of hybrid dynamical models
- The explicit linear quadratic regulator for constrained systems
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