Methodology for a Partly Automated Parameter Identification for the Validation of Multi-Domain Models

Author(s):  
D. Kruse ◽  
C. Schweers ◽  
A. Trächtler

The paper presents a methodology for a partly automated parameter identification that is to validate multi-domain models. To this end an identification tool under MATLAB has been developed. It enables a partly automated procedure that uses established methods to identify parameters from complex, nonlinear multi-domain models. In order to integrate such multi-domain models into the tool, an interface based on the Functional Mock-up Interface (FMI) standard can be used. The interface makes the required identification parameters from the multi-domain model automatically available to the identification tool. Additionally a guideline is developed which describes the way in which the respective domain expert has to mark the required identification parameters during modeling. The needs for this methodology as well as its application are shown by a practical example from the industry, using Dymola, the FMI-standard, and MATLAB. The practical example deals with the model-based development of a new washing procedure. The paper presents a partly automated parameter identification for the validation of the absorption part of the multi-domain model. Besides, new approaches to the modelling of this kind of absorption effects will be detailed.

Author(s):  
Marco Proverbio ◽  
François-Xavier Favre ◽  
Ian F. C. Smith

The goal of model-based structural identification is to find suitable values of parameters that affect structure behaviour. To this end, measurements are often compared with predictions of finiteelement models. Although residual minimization (RM) is a prominent methodology for structural identification, it provides wrong parameter identification when flawed model classes are adopted. Error-domain model falsification (EDMF) is an alternative methodology that helps identify candidate models – models that are compatible with behaviour measurements – among an initial model population. This study focuses on the comparison between RM and EDMF for the structural identification of a steel bridge in Exeter (UK). Advantages and limitations of both methodologies are discussed with reference to parameter identification and prognosis tasks such as quantification of reserve capacity. Results show that the employment of RM may lead to wrong identification and unsafe estimations of reserve capacity.


Author(s):  
Yankang He ◽  
Di Zhang ◽  
Jinfen Zhang ◽  
Bing Wu ◽  
Carlos Guedes Soares

Abstract The existing ship domain models are mostly based on the navigation behavior of open water vessels, and they are not practicable to directly apply to inland rivers. Therefore, it is necessary to establish an inland ship safety domain model based on the ship traffic characteristic therein. Based on the AIS data in the Yangtze River, this paper establishes the functional relationship between these data through multiple regression analysis using data such as ship spacing, ship length, ship speed, and heading angle. Based on this, the safety distance between ships of different lengths in different situations and other ships is determined, so as to establish a dynamic ship domain model. At the same time, this paper explores the geographical relationship between ship and channel boundary and incorporates it into the ship domain model. Finally, a quantitative approach for ship collision risk is proposed, and the collision threat degree is calculated according to the relative heading of the ship and the position in the dynamic ship domain model. Two case studies, including crossing and overtaking situations, are performed to validate the proposed model.


Author(s):  
Jun Hao Alvin Ng ◽  
Ronald P. A. Petrick

The soundness and optimality of a plan depends on the correctness of the domain model. Specifying complete domain models can be difficult when interactions between an agent and its environment are complex. We propose a model-based reinforcement learning (MBRL) approach to solve planning problems with unknown models. The model is learned incrementally over episodes using only experiences from the current episode which suits non-stationary environments. We introduce the novel concept of reliability as an intrinsic motivation for MBRL, and a method to learn from failure to prevent repeated instances of similar failures. Our motivation is to improve the learning efficiency and goal-directedness of MBRL. We evaluate our work with experimental results for three planning domains.


2012 ◽  
Vol 23 (13) ◽  
pp. 2403-2406 ◽  
Author(s):  
Eric Karsenti

In this essay I describe my personal journey from reductionist to systems cell biology and describe how this in turn led to a 3-year sea voyage to explore complex ocean communities. In describing this journey, I hope to convey some important principles that I gleaned along the way. I realized that cellular functions emerge from multiple molecular interactions and that new approaches borrowed from statistical physics are required to understand the emergence of such complex systems. Then I wondered how such interaction networks developed during evolution. Because life first evolved in the oceans, it became a natural thing to start looking at the small organisms that compose the plankton in the world's oceans, of which 98% are … individual cells—hence the Tara Oceans voyage, which finished on 31 March 2012 in Lorient, France, after a 60,000-mile around-the-world journey that collected more than 30,000 samples from 153 sampling stations.


Author(s):  
H. James de St. Germain ◽  
David E. Johnson ◽  
Elaine Cohen

Reverse engineering (RE) is the process of defining and instantiating a model based on the measurements taken from an exemplar object. Traditional RE is costly, requiring extensive time from a domain expert using calipers and/or coordinate measurement machines to create new design drawings/CAD models. Increasingly RE is becoming more automated via the use of mechanized sensing devices and general purpose surface fitting software. This work demonstrates the ability to reverse-engineer parts by combining feature-based techniques with freeform surface fitting to produce more accurate and appropriate CAD models than previously possible.


2018 ◽  
Vol 17 (4) ◽  
pp. 186-192
Author(s):  
Wendy Silver

Purpose Organizations will need HR departments that take bold new approaches if they are to weather the uncertainty and changes on the horizon. This paper aims to discuss what makes an organization or a leader BRAVE, and examples of HR professionals and organizations leading the way are provided to help readers bravely shape their own organizations. Design/methodology/approach This paper draws upon various real-life examples of organizations whose HR departments are leading the way. Findings Organizations need BRAVE HR professionals and leaders to create, implement and communicate key initiatives to ensure companies make decisions that support workplace cultures that people choose to join and remain a part of. Originality/value No amount of technology can replace the forward-thinking thought, communication and action that being BRAVE requires. This paper will help HR professionals gain a braver perspective.


Author(s):  
Kerrie Reading

The cultural revolution of 1968 paved the way for many artists to reconsider how and where theatre was made. Community theatre gained currency and one company who became prominent during this cultural shift was Welfare State, later Welfare State International. They were one of the theatre companies who focused not only on a community theatre aesthetic but a grassroot one. I examine the radicality of community theatre and consider the efficacy of the historical approaches to engaging with communities in a (Post-)Covid world. I acknowledge and explore the shifting understanding of communities and assert that a deeper engagement is needed to foster collectivity (Tannahill 2016; Fişek 2019; Weston 2020; Bartley 2021). To reconsider the role that theatre may play in the future, I focus on a grassroot approach to community-led work and posit that location will be a key component to how theatre is made as we emerge from a pandemic.


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