An algorithm for multi-parametric quadratic programming and explicit MPC solutions
نویسندگان
چکیده
منابع مشابه
An algorithm for multi-parametric quadratic programming and explicit MPC solutions
Explicit solutions to constrained linear MPC problems can be obtained by solving multi-parametric quadratic programs (mp-QP) where the parameters are the components of the state vector. We study the properties of the polyhedral partition of the state-space induced by the multiparametric piecewise linear solution and propose a new mp-QP solver. Compared to existing algorithms, our approach adopt...
متن کاملAn improved algorithm for combinatorial multi-parametric quadratic programming
The goal of multi-parametric quadratic programming (mpQP) is to compute analytic solutions to parameter-dependent constrained optimization problems, e.g., in the context of explicit linear MPC. We propose an improved combinatorial mpQP algorithm that is based on implicit enumeration of all possible optimal active sets and a simple saturation matrix pruning criterion which uses geometric propert...
متن کاملAlgorithm for robust explicit/multi-parametric MPC in embedded control systems
In this paper we present a framework for robust explicit/multi–parametric model predictive control (MPC). Based on four key steps, the proposed framework offers a systematic method for the off–line design, validation/testing and implementation of robust explicit MPC controllers for embedded systems. An important feature of the framework, is the use of a robust explicit/multi–parametric MPC tech...
متن کاملExperiments in Multi-parametric Quadratic Programming
The paper deals with a short presentation of the basic ideas concerning the multiparametric quadratic programming (mp-QP) problems. The model predictive control is considered also as particular mp-QP problem. Since the solutions to mp-QP problems can be expressed as piecewise affine linear functions of the state, a new implementation in terms of adaptive network-based fuzzy inference systems is...
متن کاملA Fast Suboptimal Multi Parametric Quadratic Programming Algorithm for Predictive Control
Multi parameteric quadratic programming gives a full offline solution to a time varying quadratic programming (QP) problem arising during constrained predictive control. However, coding and implementation of this solution may be more burdensome than simply solving the original QP. This paper proposes an algorithm, which by accepting a small amount of suboptimality in the predicted control traje...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Automatica
سال: 2003
ISSN: 0005-1098
DOI: 10.1016/s0005-1098(02)00250-9