Models and methods for hybrid system identification: a systematic survey

A Moradvandi, REF Lindeboom, E Abraham… - IFAC-PapersOnLine, 2023 - Elsevier
Dynamical systems and processes that either exhibit non-smooth behaviours (eg through
logic control or natural phenomena) or work in different modes of operation are usually …

A numerically robust mixed-integer quadratic programming solver for embedded hybrid model predictive control

A Bemporad, VV Naik - IFAC-PapersOnLine, 2018 - Elsevier
The deployment of hybrid model predictive control (MPC) in practical applications requires
primarily an efficient and robust on-line Mixed-Integer Quadratic Programming (MIQP) solver …

Identification of hybrid and linear parameter‐varying models via piecewise affine regression using mixed integer programming

M Mejari, VV Naik, D Piga… - International Journal of …, 2020 - Wiley Online Library
This article presents a two‐stage algorithm for piecewise affine (PWA) regression. In the first
stage, a moving horizon strategy is employed to simultaneously estimate the model …

Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models

D Piga, A Bemporad, A Benavoli - Automatica, 2020 - Elsevier
This paper addresses batch (offline) and recursive (online) Bayesian inference of Piecewise
Affine (PWA) regression models. By exploiting the particular structure of PWA models …

Estimation of jump Box–Jenkins models

D Piga, V Breschi, A Bemporad - Automatica, 2020 - Elsevier
Abstract Jump Box–Jenkins (BJ) models are a collection of a finite set of linear dynamical
submodels in BJ form that switch over time, according to a Markov chain. This paper …

On hierarchical clustering-based identification of PWA model with model structure selection and application to automotive actuators for HiL simulation

Z Ren - Soft Computing, 2025 - Springer
The application of the electronic control unit (ECU) motivates dynamic models with high
precision to simulate mechatronic systems for various analysis and design tasks like …

Recursive bias-correction method for identification of piecewise affine output-error models

M Mejari, V Breschi, D Piga - IEEE Control Systems Letters, 2020 - ieeexplore.ieee.org
Learning PieceWise Affine Output-Error (PWA-OE) models from data requires to estimate a
finite set of affine output-error sub-models as well as a partition of the regressors space over …

Shrinkage strategies for structure selection and identification of piecewise affine models

V Breschi, M Mejari - 2020 59th IEEE Conference on Decision …, 2020 - ieeexplore.ieee.org
We propose two optimization-based heuristics for structure selection and identification of
PieceWise Affine (PWA) models with exogenous inputs. The first method determines the …

Energy disaggregation using piecewise affine regression and binary quadratic programming

M Mejari, VV Naik, D Piga… - 2018 IEEE Conference …, 2018 - ieeexplore.ieee.org
In this paper we consider the problem of energy disaggregation, commonly referred in the
literature as “non-intrusive load monitoring”. The problem is to estimate the end-use power …

Exact and heuristic methods with warm-start for embedded mixed-integer quadratic programming based on accelerated dual gradient projection

VV Naik, A Bemporad - arxiv preprint arxiv:2101.09264, 2021 - arxiv.org
Small-scale Mixed-Integer Quadratic Programming (MIQP) problems often arise in
embedded control and estimation applications. Driven by the need for algorithmic simplicity …