Review of thermal management system for battery electric vehicle
L He, H **g, Y Zhang, P Li, Z Gu - Journal of Energy Storage, 2023 - Elsevier
Many countries around the world have strengthened of the environmental regulations on
greenhouse gas (GHG) emission, so battery electric vehicles (BEVs) to replace traditional …
greenhouse gas (GHG) emission, so battery electric vehicles (BEVs) to replace traditional …
An overview of process systems engineering approaches for process intensification: State of the art
Process intensification offers the potential to drastically reduce the energy consumption and
cost of producing chemicals from both bulk and distributed feedstocks. This review article …
cost of producing chemicals from both bulk and distributed feedstocks. This review article …
MPC: Current practice and challenges
ML Darby, M Nikolaou - Control Engineering Practice, 2012 - Elsevier
Linear Model Predictive Control (MPC) continues to be the technology of choice for
constrained, multivariable control applications in the process industry. Successful …
constrained, multivariable control applications in the process industry. Successful …
Piecewise linear neural networks and deep learning
As a powerful modelling method, piecewise linear neural networks (PWLNNs) have proven
successful in various fields, most recently in deep learning. To apply PWLNN methods, both …
successful in various fields, most recently in deep learning. To apply PWLNN methods, both …
Utility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques
Machine learning techniques combined with wearable electronics can deliver accurate short-
term blood glucose level prediction models. These models can learn personalized glucose …
term blood glucose level prediction models. These models can learn personalized glucose …
[BOOK][B] Control of nonlinear and hybrid process systems: Designs for uncertainty, constraints and time-delays
PD Christofides, N El-Farra - 2005 - books.google.com
This monograph provides insight and fundamental understanding into the feedback control
of nonlinear and hybrid process systems. It presents state-of-the-art methods for the …
of nonlinear and hybrid process systems. It presents state-of-the-art methods for the …
Recent advances in optimization-based simultaneous process and control design
In this work, we first discuss recent advances towards the integration of process design,
process control and process operability from the open literature and then we focus on …
process control and process operability from the open literature and then we focus on …
A multiparametric programming approach for mixed-integer quadratic engineering problems
V Dua, NA Bozinis, EN Pistikopoulos - Computers & Chemical Engineering, 2002 - Elsevier
In this work we propose algorithms for the solution of multiparametric quadratic
programming (mp-QP) problems and multiparametric mixed-integer quadratic programming …
programming (mp-QP) problems and multiparametric mixed-integer quadratic programming …
Model-based blood glucose control for type 1 diabetes via parametric programming
P Dua, FJ Doyle… - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
An advanced model-based control technique for regulating the blood glucose for patients
with Type 1 diabetes is presented. The optimal insulin delivery rate is obtained off-line as an …
with Type 1 diabetes is presented. The optimal insulin delivery rate is obtained off-line as an …
Pop–parametric optimization toolbox
In this paper, we describe POP, a MATLAB toolbox for parametric optimization. It features (a)
efficient implementations of multiparametric programming problem solvers for …
efficient implementations of multiparametric programming problem solvers for …