On the Control of Dynamically Unstable Systems Using a Self Organizing Black Box Controller

Volume 3 ◽  
2004 ◽  
Author(s):  
David W. Russell
Keyword(s):  
Dynamic Systems ◽  
Statistical Data ◽  
A Priori ◽  
Black Box ◽  
System Model ◽  
Self Organization ◽  
Limiting Factor ◽  
Chaotic Oscillations ◽  
State Variable ◽  
Apparent Reason

Many systems are difficult to control by conventional means because of the complexity of the very fabric of their being. Some systems perform very well under some conditions and then burst into wild, maybe even chaotic, oscillations for no apparent reason. Such systems exist in bioreactors, electro-plating and other application domains. In these cases a model may not exist that can be trusted to accurately replicate the dynamics of the real-world system. BOXES is a well known methodology that learns to perform control maneuvers for dynamic systems with only cursory a priori knowledge of the mathematics of the system model. A limiting factor in the BOXES algorithm has always been the assignment of appropriate boundaries to subdivide each state variable into regions. In addition to suggesting a method of alleviating this weakness, the paper shows that the accumulated statistical data in near neighboring states may be a powerful agent in accelerating learning, and may eventually provide a possible evolution to self-organization.

Bringing ESMValTool to the Jupyter Lab

2021 ◽  
Author(s):  
Peter C. Kalverla ◽  
Stef Smeets ◽  
Niels Drost ◽  
Bouwe Andela ◽  
Fakhereh Alidoost ◽  
...  
Keyword(s):  
Ease Of Use ◽  
System Model ◽  
Limiting Factor ◽  
Scientific Quality ◽  
Evaluation Tool ◽  
Web Browser ◽  
Playing Field ◽  
The Earth ◽  
Command Line Tool ◽  
Shared Infrastructure

<p>Ease of use can easily become a limiting factor to scientific quality and progress. In order to verify and build upon previous results, the ability to effortlessly access and process increasing data volumes is crucial.</p><p>To level the playing field for all researchers, a shared infrastructure had to be developed. In Europe, this effort is coordinated mainly through the IS-ENES projects. The current infrastructure provides access to the data as well as compute resources. This leaves the tools to easily work with the data as the main obstacle for a smooth scientific process. Interestingly, not the scarcity of tools, but rather their abundance can lead to diverging workflows that hamper reproducibility.</p><p>The Earth System Model eValuation Tool (ESMValTool) was originally developed as a command line tool for routine evaluation of important analytics workflows. This tool encourages some degree of standardization by factoring out common operations, while allowing for custom analytics of the pre-processed data. All scripts are bundled with the tool. Over time this has grown into a library of so-called ‘recipes’.</p><p>In the EUCP project, we are now developing a Python API for the ESMValTool. This allows for interactive exploration, modification, and execution of existing recipes, as well as creation of new analytics. Concomitantly, partners in IS-ENES3 are making their infrastructure accessible through JupyterLab. Through the combination of these technologies, researchers can easily access the data and compute, but also the workflows or methods used by their colleagues - all through the web browser. During the vEGU, we will show how this extended infrastructure can be used to easily reproduce, and build upon, previous results.</p>

scholarly journals Motivational dynamics in English classes at a Brazilian public school

2017 ◽  
Vol 17 (2) ◽  
pp. 219-246 ◽  
Author(s):  
Raquel Bambirra
Keyword(s):  
Data Analysis ◽  
Dynamic Systems ◽  
Student Motivation ◽  
Teacher Motivation ◽  
Self Organization ◽  
English Teacher ◽  
Pedagogical Practice ◽  
Systems Perspective ◽  
English Classes ◽  
English Classroom

ABSTRACT This paper seeks to discuss the interrelations between the motivation of an English teacher at a public federal high school in Brazil and that of her students from a dynamic systems perspective. Three teachers’ oral narratives and 14 students’ logbook entries were used for the data analysis. The teacher’s descriptions and comments on her pedagogical practice were compared to the students’ impressions and motivational levels in an attempt to understand this English classroom-system motivational dynamics and self-organization processes, focusing on how this teacher’s and her students’ motivation co-adapt and soft-assemble, influencing and being influenced by the context. The results seem to confirm not only that student motivation and teacher motivation are deeply interrelated, but also that they interact organically and continually, revealing that the context is contingent.

scholarly journals Rancang Bangun Sistem Informasi Bank Sampah di Desa Paguyangan

2021 ◽  
Vol 5 (1) ◽  
pp. 21-30
Author(s):  
Lasmedi Afuan ◽  
◽  
Nofiyati Nofiyati ◽  
Nasichatul Umayah ◽  
◽  
...  
Keyword(s):  
Information System ◽  
Waste Management ◽  
Programming Language ◽  
Statistical Data ◽  
System Development ◽  
Black Box ◽  
Web Based ◽  
Opinion Score ◽  
Residual Material ◽  
Black Box Testing

Garbage is the residual material resulting from a production process, both industry and households. Based on Brebes district's statistical data, the Paguyangan sub-district is in fourth place with an average of 249.62 m3 of garbage per day. Paguyangan is one of the villages in the Paguyangan sub-district. Paguyangan has a garbage problem where people still have the habit of throwing garbage in the river and yards around the house. Based on this, the Paguyangan Village Hall plans to build a garbage bank to overcome the problem. A garbage bank managed activities such as recording saving's transactions. This study conducted a web-based design of the Garbage Bank Information System (SIBS). SIBS is an information system used to help process garbage transactions at a garbage bank. The purpose of this SIBS is to facilitate officers and customers in processing services at the garbage bank. The methodology used in system development is the Waterfall method. SIBS development uses PHP as a programming language and MySql as the DBMS. The result of this research is an information system that can be used in the management of Waste Management transactions. The results of system testing using Black box Testing and Mean Opinion Score (MOS) obtained that all components in this system are running well according to needs.

scholarly journals Performance Analysis of Computational Intelligence Correction

2021 ◽  
Author(s):  
Nalini Arasavali ◽  
Sasibhushanarao Gottapu
Keyword(s):  
Kalman Filter ◽  
Performance Analysis ◽  
Computational Intelligence ◽  
A Priori ◽  
Covariance Matrices ◽  
System Model ◽  
Process Noise ◽  
Navigation Algorithm ◽  
Modified Kalman Filter ◽  
Measurement Noises

Abstract Kalman filter (KF) is a widely used navigation algorithm, especially for precise positioning applications. However, the exact filter parameters must be defined a priori to use standard Kalman filters for coping with low error values. But for the dynamic system model, the covariance of process noise is a priori entirely undefined, which results in difficulties and challenges in the implementation of the conventional Kalman filter. Kalman Filter with recursive covariance estimation applied to solve those complicated functional issues, which can also be used in many other applications involving Kalaman filtering technology, a modified Kalman filter called MKF-RCE. While this is a better approach, KF with SAR tuned covariance has been proposed to resolve the problem of estimation for the dynamic model. The data collected at (x: 706970.9093 m, y: 6035941.0226 m, z: 1930009.5821 m) used to illustrate the performance analysis of KF with recursive covariance and KF with computational intelligence correction by means of SAR (Search and Rescue) tuned covariance, when the covariance matrices of process and measurement noises are completely unknown in advance.

scholarly journals In the footsteps of Einstein and Wiener

2021 ◽  
Author(s):  
Emir Ashursky
Keyword(s):  
Neural Networks ◽  
A Priori ◽  
Electron Neutrino ◽  
Self Organization ◽  
Mathematical Foundation ◽  
Molecular Models ◽  
Computer Clusters ◽  
Modern Computer ◽  
The World ◽  
The Universe

To date the recognition of universal, a priori inherent in them connection between the objects of the world around us is quite rightly considered almost an accomplished fact. But on what laws do these or those sometimes rather variegated systems function in live and inert nature (including - in modern computer clusters)? Where are the origins of their self-organization activity lurked: whether at the level of still hypothetical quantum-molecular models, finite bio-automata or hugely fashionable now artificial neural networks? Answers to all these questions if perhaps will ever appear then certainly not soon. That is why the bold innovative developments presented in following article are capable in something, possibly, even to refresh the database of informatics so familiar to many of us. And moreover, in principle, the pivotal idea developed here, frankly speaking, is quite simple in itself: if, for example, the laws of the universe are one, then all the characteristic differences between any evolving objects should be determined by their outwardly-hidden informative (or, according to author’s terminology - “mental") rationale. By the way, these are not at all empty words, as it might seem at first glance, because they are fully, where possible, supported with the generally accepted physical & mathematical foundation here. So as a result, the reader by himself comes sooner or later to the inevitable conclusion, to wit: only the smallest electron-neutrino ensembles contain everything the most valuable and meaningful for any natural system! At that even no matter, what namely global outlook paradigm we here hold...

Fuzzy Labeled Transition Refinement Tree

2014 ◽  
Vol 6 (3) ◽  
pp. 1-31 ◽  
Author(s):  
Sofia Kouah ◽  
Djamel-Eddine Saidouni
Keyword(s):  
Dynamic Systems ◽  
Transition System ◽  
System Model ◽  
Design Parameters ◽  
Concurrent Design ◽  
Incremental Development ◽  
Action Refinement ◽  
Formal Framework ◽  
Labeled Transition System ◽  
Multi Agents

This paper aims to provide a formal framework that supports an incremental development of dynamic systems such as multi agents systems (MAS). We propose a fuzzy labeled transition system model (FLTS for short). FLTS allows a concise action refinement representation and deals with incomplete information through its fuzziness representation. Afterward, based on FLTS model, we propose a refinement model called fuzzy labeled transition refinement tree (FLTRT for short). The FLTRT structure serves as a tree of potential concurrent design trajectories of the system. Also, we introduce bisimulation relations for both models in order to identify equivalent design trajectories, which could be assessed with respect to relevant design parameters.

Sign in / Sign up

Export Citation Format

Share Document