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This chapter focuses on chaos, which is the function of engineering and engineering math, all along to determine the behavior of physical systems.
The paper discusses the similarities and the incompatibilities between two forms of Energy Analysis (exergy and emergy, 'EXA' and 'EMA' in the following), both of which try to represent the behavior of physical systems by means of cumulative energy input/output methods that result in a double integration over space and time domains.
Back-of-the-envelope or rule-of-thumb calculations involving rough estimates of quantities play a central scientific role in developing intuition about the structure and behavior of physical systems, for example in so-called Fermi problems in the physical sciences.
The Liénard equation is used in many fields of science for representing the dynamical behavior of physical systems.
Fractional differential equations have received increasing attention during recent years, since the behavior of physical systems can be properly described by using fractional order system theory.
Moreover, and more controversially, some philosophers of chemistry have argued that chemical properties may constrain the behavior of physical systems, something akin to what philosophers of mind call downwards causation (Kim, 1999).
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Such concepts are also frequently invoked to reason about behaviors of physical systems (e.g., force in Newtonian mechanics, wave functions in quantum mechanics).
Halloun (2006) defines a scientific model as "a conceptual system mapped, within the context of a scientific theory, onto a specific pattern in the structure and/or behavior of a set of physical systems as to reliably represent the pattern in question and serve specific functions in its regard" (p. 24).
In this paper we address the aforementioned problems and propose a procedure to design robust ICs for port-Hamiltonian models, that characterize the behavior of a large class of physical systems.
It should be noted that there are a growing number of physical systems whose behavior can be compactly described using fractional-order system theory.
We identified various types of modeling assumptions and other constraints (also the relations among them) which constitute models of physical systems and behaviors.
More suggestions(15)
behavior of mechanical systems
behavior of physical cells
behavior of iterative systems
behavior of physical fields
behavior of physical gels
behavior of dynamic systems
behavior of physical processes
behavior of multicomponent systems
behavior of disordered systems
behavior of macroscopic systems
behavior of real systems
behavior of Hamiltonian systems
behavior of whole systems
behavior of reactive systems
behavior of dynamical systems
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