Data-Driven Model Predictive Monitoring for Dynamic Processes
نویسندگان
چکیده
منابع مشابه
Decentralized Dynamic Data-Driven Monitoring of Atmospheric Dispersion Processes
Online state and parameter estimation of atmospheric dispersion processes using multiple mobile sensor platforms is a prominent example of Dynamic Data-Driven Application Systems (DDDAS). Based on repeated predictions of a partial differential equation (PDE) model and measurements of the sensor network, estimates are updated and sensor trajectories are adapted to obtain more informative measure...
متن کاملDynamic Data-Driven Modeling of Pharmaceutical Processes
In many pharmaceutical process operations, first-principle models describing the behavior of the processed powders are difficult to derive or computationally very expensive and thus can be considered as “black-box” processes. Kriging is an efficient data-driven methodology that has been shown previously to predict steady-state operation of black-box processes while providing error estimates for...
متن کاملCoordination of Distributed Model Predictive Controllers for Constrained Dynamic Processes ?
In this paper, a coordinated-distributed model predictive control (MPC) scheme is presented for large-scale discrete-time linear process systems. Coordinated-distributed MPC control aims at enhancing the performance of fully decentralized MPC controllers by achieving the plant-wide optimal operations. The ‘price-driven’ decomposition-coordination method is used to adjust the operations of the i...
متن کاملPredictive Security Analysis for Event-Driven Processes
This paper presents an approach for predictive security analysis in a business process execution environment. It is based on operational formal models and leverages process and threat analysis and simulation techniques in order to be able to dynamically relate events from different processes and architectural layers and evaluate them with respect to security requirements. Based on this, we pres...
متن کاملPredictive Task Monitoring for Business Processes
Information sources providing real-time status of physical objects have drastically increased in recent times. So far, research in business process monitoring has mainly focused on checking the completion of tasks. However, the availability of real-time information allows for a more detailed tracking of individual business tasks. This paper describes a framework for controlling the safe executi...
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: IFAC-PapersOnLine
سال: 2020
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2020.12.101