Dissipative solitons

Purwins, H.‐G.; Bödeker, H. U.; Amiranashvili, Shalva

doi:10.1080/00018732.2010.498228

Cited by 220 publications

(201 citation statements)

References 531 publications

(902 reference statements)

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“…We showed that the gas discharge system can exhibit bistability which is consistent with the laboratory observation that gas discharge systems under appropriate condition indeed exhibit multistability (Purwins et al, 2010). We showed that the variations in the asymmetry of the device can induce transitions between the two self-organized states.…”

Section: Discussionsupporting

confidence: 70%

“…For sufficiently large values of U 0 discharge solitons can be observed (see e.g. Bödeker et al, 2003Bödeker et al, ,2004 and the reviews by Purwins et al (2010) and Liehr (2013)). Let us consider rectangular electrodes such that the discharge gap forms a cuboid with a long axis and two short axes.…”

Section: Current Flow Description Of a Two Compartment Gas Discharge mentioning

confidence: 99%

“…The voltage-current relationship of the nonlinear resistors in the bottom circuits are approximately described by cubic functions like (see Figure 2a in Purwins et al (2010)…”

Section: Dynamical Systems Modellingmentioning

confidence: 99%

“…Along the long axis, solitons can emerge at any position provided U 0 is high enough. For our purposes, it is important to notice that the current flows in the device can be described by means of an electronic blueprint involving resistors, capacitors, and inductors (Purwins et al, 2010). To this end, the long axis is compartmentalized into cells or compartments.…”

Section: Current Flow Description Of a Two Compartment Gas Discharge mentioning

confidence: 99%

See 3 more Smart Citations

Decision-Making in Physical Intelligent Systems Regulated by Growth Rate Factors

Frank¹

2014

CIS

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In the literature, self-organizing physical and chemical systems have been proposed as candidates for physical intelligent systems that may solve problems in the field of artificial intelligent in a non-algorithmic way that is not based on computation. In this theoretical study, decision-making in such physical intelligent systems is discussed in terms of non-equilibrium transitions between two self-organized states. The control parameter driving the non-equilibrium transitions is related to two growth rate factors. It is shown for a particular non-equilibrium system that the decision-making process satisfies the principle of selecting the state with the fastest growth rate factor. The system under consideration is a two component gas discharge system whose current flows can be described by means of an electronic blueprint.

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Section: Discussionsupporting

confidence: 70%

Section: Current Flow Description Of a Two Compartment Gas Discharge mentioning

confidence: 99%

“…The voltage-current relationship of the nonlinear resistors in the bottom circuits are approximately described by cubic functions like (see Figure 2a in Purwins et al (2010)…”

Section: Dynamical Systems Modellingmentioning

confidence: 99%

Section: Current Flow Description Of a Two Compartment Gas Discharge mentioning

confidence: 99%

See 2 more Smart Citations

Decision-Making in Physical Intelligent Systems Regulated by Growth Rate Factors

Frank¹

2014

CIS

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“…De plus, un des grands avantages des DBD est leur facilité de mise en oeuvre en laboratoire et la simplicité avec laquelle la diversité des structures est explorée en agissant sur les conditions opératoires (intensité et forme des tensions appliquées, pression du gaz, etc.) Ces plasmas de décharge permettent notamment l'étude expérimentale reproductible des plus intrigants parmi les phénomènes précurseurs de l'auto-organisation [7,8], tels que la génération, l'annihilation et les « collisions » de fi laments, la rotation de paires de fi laments, etc.…”

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