scholarly journals Metabolic futile cycles and their functions: a systems analysis of energy and control

2006 ◽  
Vol 153 (4) ◽  
pp. 192 ◽  
Author(s):  
H. Qian ◽  
D.A. Beard
Keyword(s):  
Systems Analysis ◽  
Futile Cycles ◽  
And Control

Advanced Tools for Nonlinear Sampled-Data Systems’ Analysis and Control

2007 ◽  
Vol 13 (2-3) ◽  
pp. 221-241 ◽  
Author(s):  
Salvatore Monaco ◽  
Dorothée Normand-Cyrot
Keyword(s):  
Systems Analysis ◽  
Data Systems ◽  
Sampled Data ◽  
And Control

scholarly journals Guidance and Control Algorithms for the Mars Entry, Descent and Landing Systems Analysis

2010 ◽  
Author(s):  
Jody Davis ◽  
Alicia Dwyer Cianciolo ◽  
Richard Powell ◽  
Jeremy Shidner ◽  
Eduardo Garcia-Llama
Keyword(s):  
Systems Analysis ◽  
Control Algorithms ◽  
Guidance And Control ◽  
And Control

Dissipative Systems Analysis and Control

2007 ◽  
Author(s):  
Bernard Brogliato ◽  
Bernhard Maschke ◽  
Rogelio Lozano ◽  
Olav Egeland
Keyword(s):  
Systems Analysis ◽  
Dissipative Systems ◽  
And Control

Dissipative Systems Analysis and Control

2000 ◽  
Author(s):  
Rogelio Lozano ◽  
Bernard Brogliato ◽  
Olav Egeland ◽  
Bernhard Maschke
Keyword(s):  
Systems Analysis ◽  
Dissipative Systems ◽  
And Control

Dissipative Systems Analysis and Control

2020 ◽  
Author(s):  
Bernard Brogliato ◽  
Rogelio Lozano ◽  
Bernhard Maschke ◽  
Olav Egeland
Keyword(s):  
Systems Analysis ◽  
Dissipative Systems ◽  
And Control

scholarly journals Architectural Concept and Evaluation of a Framework for the Efficient Automation of Computational Scientific Workflows: An Energy Systems Analysis Example

2019 ◽  
Vol 9 (4) ◽  
pp. 728 ◽  
Author(s):  
Jianlei Liu ◽  
Eric Braun ◽  
Clemens Düpmeier ◽  
Patrick Kuckertz ◽  
D. Ryberg ◽  
...  
Keyword(s):  
Systems Analysis ◽  
Original Research ◽  
Web Interface ◽  
Model Sets ◽  
Message Oriented Middleware ◽  
Energy Systems Analysis ◽  
Distributed Process ◽  
Scientists And Engineers ◽  
And Control ◽  
New Framework

Scientists and engineers involved in the design of complex system solutions use computational workflows for their evaluations. Along with growing system complexity, the complexity of these workflows also increases. Without integration tools, scientists and engineers are often highly concerned with how to integrate software tools and model sets, which hinders their original research or engineering aims. Therefore, a new framework for streamlining the creation and usage of automated computational workflows is introduced in the present article. It uses state-of-the-art technologies for automation (e.g., container-automation) and coordination (e.g., distributed message oriented middleware), and a microservice-based architecture for novel distributed process execution and coordination. It also supports co-simulations as part of larger workflows including additional auxiliary computational tasks, e.g., forecasting or data transformation. Using Apache NiFi, an easy-to-use web interface is provided to create, run and control workflows without the need to be concerned with the underlying computing infrastructure. Initial framework testing via the implementation of a real-world workflow underpins promising performance in the realms of parallelizability, low overheads and reliable coordination.

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