Advanced Topics on Cellular Self-Organizing Nets and Chaotic Nonlinear Dynamics to Model and Control Complex Systems

10.1142/6830 ◽  
2008 ◽  
Author(s):  
Riccardo Caponetto ◽  
Luigi Fortuna ◽  
Mattia Frasca
Keyword(s):  
Nonlinear Dynamics ◽  
Complex Systems ◽  
And Control ◽  
Control Complex ◽  
Self Organizing

scholarly journals Transient dynamics in non-equilibrium complex systems

2018 ◽  
Author(s):  
Diamantis Sellis
Keyword(s):  
Complex Systems ◽  
Equilibrium Dynamics ◽  
Box Counting ◽  
Box Counting Dimension ◽  
Model Complex ◽  
The World ◽  
And Control ◽  
Practical Implications ◽  
Control Complex ◽  
Non Equilibrium

The dynamics of complex systems far from their equilibrium state are currently not fully understood. Besides the theoretical interest for better understanding the world around us this limitation has important practical implications to our ability to model, understand and therefore manage and control complex systems. In a first step to better understand the non- equilibrium dynamics and improve our ability to model complex systems I implement a cellular automaton model of gas mixing. I simulate the evolution towards equilibrium starting from a state of macroscopic order and as the system evolves I calculate the Kolmogorov complexity, the information entropy and the box-counting dimension of the system. I observe a transient peak in complexity, entropy and fractality of the system. To test the genericity of this pattern I implement a very different model, the game of life, where I find the same statistical patterns.

Nonlinear Dynamics and Control of Flexible Structures

1989 ◽  
Author(s):  
Francis C. Moon ◽  
Peter Gergely ◽  
James S. Thorp ◽  
John F. Abel
Keyword(s):  
Nonlinear Dynamics ◽  
Flexible Structures ◽  
Dynamics And Control ◽  
And Control ◽  
Nonlinear Dynamics And Control

Artificial Neural Networks vs. Fuzzy Logic: Simple Tools to Predict and Control Complex Processes—Application to Plasma Spray Processes

2008 ◽  
Vol 17 (3) ◽  
pp. 365-376 ◽  
Author(s):  
Abdoul-Fatah Kanta ◽  
Ghislain Montavon ◽  
Michel Vardelle ◽  
Marie-Pierre Planche ◽  
Christopher C. Berndt ◽  
...  
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Artificial Neural Networks ◽  
Plasma Spray ◽  
Complex Processes ◽  
Artificial Neural ◽  
And Control ◽  
Control Complex

Periodically-forced density wave oscillations in boiling flow at low forcing frequencies: Nonlinear dynamics and control issues

2016 ◽  
Vol 140 ◽  
pp. 123-133 ◽  
Author(s):  
Swapan Paruya ◽  
Nababithi Goswami ◽  
Subramaniam Pushpavanam ◽  
Dipin S. Pillai ◽  
Oinam Bidyarani
Keyword(s):  
Nonlinear Dynamics ◽  
Density Wave ◽  
Dynamics And Control ◽  
Boiling Flow ◽  
And Control ◽  
Density Wave Oscillations ◽  
Nonlinear Dynamics And Control

Semiosis between Action and Passion

2014 ◽  
Vol 10 (4) ◽  
Author(s):  
Eliseo Fernández
Keyword(s):  
Biological Evolution ◽  
Cell Physiology ◽  
Concomitant Increase ◽  
Afferent Pathways ◽  
Surrounding Environment ◽  
Directed Action ◽  
Similarities And Differences ◽  
And Control ◽  
Self Organizing

AbstractAll organisms are autonomous, self-organizing wholes separated by semi-permeable boundaries from a surrounding environment. Across these boundaries conveyances of action and passion are channeled through efferent and afferent pathways. I analyze this scheme in terms of two fundamental processes: semiosis and control. I propose a unified account of the functioning of semiosis and of controlling and controlled actions by viewing organisms as systems that separate their responses (actions) from the actions their environment exerts upon them (passions). Semiosis and goal-directed action are seen as complementary forms of causation. Examples from cell physiology and the functioning of efferent and afferent pathways in plants and animals illustrate and expand these ideas.Based on this interpretation of the relations between semiosis and control I reach a generalized conception of purposeful action, linking the expansion of semiotic capacities throughout biological evolution to a concomitant increase in an organism’s powers for intervention in its environment.The fruitfulness of these ideas is substantiated through examples showing how they make intelligible phenomena previously deemed disparate. Examples include similarities and differences between signs and instruments, and analogies in the evolution of organisms and artifacts.

scholarly journals Toward Reverse Engineering to Economic Analysis: An Overview of Tools and Methodology

2021 ◽  
Author(s):  
Marisa Faggini ◽  
Bruna Bruno ◽  
Anna Parziale
Keyword(s):  
Complex System ◽  
Nonlinear Dynamics ◽  
Economic Analysis ◽  
Complex Systems ◽  
Reverse Engineering ◽  
Underlying Mechanism ◽  
Economic Data ◽  
Agent Based ◽  
Economic Agents ◽  
Advantages And Disadvantages

AbstractFollowing the reverse engineering (RE) approach to analyse an economic complex system is to infer how its underlying mechanism works. The main factors that condition the difficulty of RE are the number of variable components in the system and, most importantly, the interdependence of components on one another and nonlinear dynamics. All those aspects characterize the economic complex systems within which economic agents make their choices. Economic complex systems are adopted in RE science, and they could be used to understand, predict and model the dynamics of the complex systems that enable to define and to control the economic environment. With the RE approach, economic data could be used to peek into the internal workings of the economic complex system, providing information about its underling nonlinear dynamics. The idea of this paper arises from the aim to deepen the comprehension of this approach and to highlight the potential implementation of tools and methodologies based on it to treat economic complex systems. An overview of the literature about the RE is presented, by focusing on the definition and on the state of the art of the research, and then we consider two potential tools that could translate the methodological issues of RE by evidencing advantages and disadvantages for economic analysis: the recurrence analysis and the agent-based model (ABM).

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