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Methods of model reduction for large-scale biological systems: a survey of current methods and trends
TJ Snowden, PH van der Graaf, MJ Tindall - Bulletin of mathematical …, 2017 - Springer
Complex models of biochemical reaction systems have become increasingly common in the
systems biology literature. The complexity of such models can present a number of …
systems biology literature. The complexity of such models can present a number of …
Digital twins for the future power system: An overview and a future perspective
The inevitable transition of the power system toward a sustainable and renewable-energy
centered power system is accompanied by huge versatility and significant challenges. A …
centered power system is accompanied by huge versatility and significant challenges. A …
[KİTAP][B] Approximation of large-scale dynamical systems
AC Antoulas - 2005 - SIAM
In today's technological world, physical and artificial processes are mainly described by
mathematical models, which can be used for simulation or control. These processes are …
mathematical models, which can be used for simulation or control. These processes are …
[KİTAP][B] The Control Handbook (three volume set)
WS Levine - 2018 - taylorfrancis.com
At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …
engineers working with modern control systems required. Among its many accolades, that …
Modeling and optimization with Optimica and JModelica. org—Languages and tools for solving large-scale dynamic optimization problems
The Modelica language, targeted at modeling of complex physical systems, has gained
increased attention during the last decade. Modelica is about to establish itself as a de facto …
increased attention during the last decade. Modelica is about to establish itself as a de facto …
Optimal process operations in fast-changing electricity markets: framework for scheduling with low-order dynamic models and an air separation application
Today's fast-changing markets often require the granularity of production schedules to be
refined to time scales comparable to the time constants of a chemical process …
refined to time scales comparable to the time constants of a chemical process …
A method for model-reduction of non-linear thermal dynamics of multi-zone buildings
We propose a method for reducing the order of dynamic models of temperature and humidity
in multi-zone buildings. Low-order models of building thermal dynamics are useful for model …
in multi-zone buildings. Low-order models of building thermal dynamics are useful for model …
Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models
Managing electricity demand has become a key consideration in power grid operations.
Industrial demand response (DR) is an important component of demand-side management …
Industrial demand response (DR) is an important component of demand-side management …
PAROC—An integrated framework and software platform for the optimisation and advanced model-based control of process systems
In this paper we present the main foundations and features of an integrated framework and
software platform that enables the use of model-based tools in design, operational …
software platform that enables the use of model-based tools in design, operational …
Real-time trajectory generation for quadrocopters
This paper presents a trajectory generation algorithm that efficiently computes high-
performance flight trajectories that are capable of moving a quadrocopter from a large class …
performance flight trajectories that are capable of moving a quadrocopter from a large class …