CN204166774U - The two vortex type cell neural network hyperchaotic circuit of quadravalence - Google Patents
The two vortex type cell neural network hyperchaotic circuit of quadravalence Download PDFInfo
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- CN204166774U CN204166774U CN201420663186.4U CN201420663186U CN204166774U CN 204166774 U CN204166774 U CN 204166774U CN 201420663186 U CN201420663186 U CN 201420663186U CN 204166774 U CN204166774 U CN 204166774U
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- resistance
- output terminal
- connect
- inverting input
- operational amplifier
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Abstract
The two vortex type cell neural network hyperchaotic circuit of a kind of quadravalence, its third and fourth, five, seven operational amplifier A
3, A
4, A
5, A
7form linear inverting integrator, output terminal is respectively chaotic signal output terminal X
1, X
2, X
3, X
4; Second operational amplifier A
2form non-linear inverting amplifier; The first, six operational amplifier A
1, A
6form linear anti-phase limiting amplifier; Inverting integrator A
3with inverting amplifier A
1connect; Inverting integrator A
4respectively with inverting integrator A
3, A
5connect; Inverting integrator A
5respectively with inverting integrator A
4, inverting amplifier A
6connect; Inverting integrator A
7with inverting integrator A
4connect; The utility model is chaos circuit, can export the various waveforms of Four-order neural-network chaos circuit, phasor and chaos and develop curve, can form chaotic secret communication system.
Description
Technical field
The utility model belongs to non-linear circuit, often claims chaos circuit, is specifically related to the two vortex type cell neural network hyperchaotic circuit of a kind of quadravalence.
Background technology
Nerval network chaotic circuit is a pith of non-linear circuit, its patent No. is the patent " a kind of multiple types three-order chaos combinational circuit that can switch and using method thereof " of 200810129213.9, the 5th circuit is wherein the two vortex type cell neural network hyperchaotic circuit of a kind of quadravalence, be made up of eight grades of operational amplifiers, three rank cell neural network chaos can only be realized, High-order Cellular Neural Networks hyperchaos can not be realized, hyperchaos is high-order chaos, can not realize the deficiency that two vortex type cell neural network hyperchaos is available circuit technology.
Utility model content
The purpose of this utility model is the deficiency solved the problem, and provides a kind of quadravalence two vortex type cell neural network hyperchaotic circuit.Two vortex type chaotic signal can be exported.
The utility model solves the technical scheme that its technical matters adopts:
The two vortex type cell neural network hyperchaotic circuit of quadravalence, is made up of seven operational amplifiers and resistance and electric capacity, wherein: the first operational amplifier (A
1) inverting input and the first resistance (R
1) connect, in-phase input end ground connection, is connected the second resistance (R between inverting input with output terminal
2), output terminal and the 5th resistance (R
5), the 3rd resistance (R
3), the 8th resistance (R
8) connect; Second operational amplifier (A
2) inverting input and the 3rd resistance (R
3) connect, in-phase input end ground connection, is connected the 4th resistance (R between inverting input with output terminal
4), output terminal and the 6th resistance (R
6) connect; 3rd operational amplifier (A
3) inverting input and the 5th resistance (R
5), the 6th resistance (R
6), the 7th resistance (R
7) connect, in-phase input end ground connection, is connected the first electric capacity (C between inverting input with output terminal
1), output terminal and the first resistance (R
1) connect, output terminal is X
1output terminal; Four-operational amplifier (A
4) inverting input and the 8th resistance (R
8), the 9th resistance (R
9), the tenth resistance (R
10) connect, in-phase input end ground connection, be connected the 11 resistance (R in parallel between inverting input with output terminal
11) and the second electric capacity (C
2), output terminal and the 7th resistance (R
7), the 12 resistance (R
12) connect, output terminal is X
2output terminal; 5th operational amplifier (A
5) inverting input and the 12 resistance (R
12) connect, in-phase input end ground connection, is connected the 3rd electric capacity (C between inverting input with output terminal
3), output terminal and the tenth resistance (R
10) connect, the 13 resistance (R
13) connect, output terminal is X
3output terminal; 6th operational amplifier (A
6) inverting input and the 13 resistance (R
13) connect, in-phase input end ground connection, is connected the 14 resistance (R between inverting input with output terminal
14), output terminal and the 15 resistance (R
15) connect; 7th operational amplifier (A
7) inverting input and the 15 resistance (R
15) connect, in-phase input end ground connection, be connected the 16 resistance (R in parallel between inverting input with output terminal
16) and the 4th electric capacity (C
4), output terminal and the 9th resistance (R
9) connect, output terminal is the output terminal of X4.
Described 6th resistance (R
6) be variable resistor, the various curves that the chaos can observing the two vortex type cell neural network hyperchaotic circuit of quadravalence develops.
The beneficial effects of the utility model are: can export X
1, X
2, X
3, X
4four chaotic waves signals and X
1-X
2, X
1-X
3, X
1-X
4, X
2-X
3, X
2-X
4, X
3-X
4six chaos phasors; Above-mentioned various chaotic signal can be shown on oscillograph; By some specific electrical resistance such as the 6th resistance (R
6) replaced by variable resistor after, the chaotic characteristic of the above various chaotic signal can be changed, the various curves that the two vortex type chaos of quadravalence develops can be shown on oscillograph, other various experiment of the two vortex type chaos of quadravalence can also be carried out.The utility model is applicable to university's chaos education of science, experimental teaching and demonstration, scientific popularization experimental demonstration etc.
Accompanying drawing explanation
Fig. 1 is the two vortex type cell neural network hyperchaotic circuit schematic diagram of quadravalence.
Fig. 2 is the two vortex type cell neural network hyperchaotic circuit X of quadravalence
1-X
2export phasor.
Fig. 3 is the two vortex type cell neural network hyperchaotic circuit X of quadravalence
1-X
3export phasor.
Fig. 4 is the two vortex type cell neural network hyperchaotic circuit X of quadravalence
1-X
4export phasor.
Fig. 5 is the two vortex type cell neural network hyperchaotic circuit X of quadravalence
2-X
3export phasor.
Fig. 6 is the two vortex type cell neural network hyperchaotic circuit X of quadravalence
2-X
4export phasor.
Fig. 7 is the two vortex type cell neural network hyperchaotic circuit X of quadravalence
3-X
4export phasor.
Embodiment
With reference to accompanying drawing 1, the utility model embodiment is made up of seven operational amplifiers and resistance and electric capacity, wherein: the first operational amplifier A
1inverting input and the first resistance R
1connect, in-phase input end ground connection, is connected the second resistance R between inverting input with output terminal
2, output terminal and the 5th resistance R
5, the 3rd resistance R
3, the 8th resistance R
8connect; Second operational amplifier A
2inverting input and the 3rd resistance R
3connect, in-phase input end ground connection, is connected the 4th resistance R between inverting input with output terminal
4, output terminal and the 6th resistance R
6connect; 3rd operational amplifier A
3inverting input and the 5th resistance R
5, the 6th resistance R
6, the 7th resistance R
7connect, in-phase input end ground connection, is connected the first electric capacity C between inverting input with output terminal
1, output terminal and the first resistance R
1connect, output terminal is X
1output terminal; Four-operational amplifier A
4inverting input and the 8th resistance R
8, the 9th resistance R
9, the tenth resistance R
10connect, in-phase input end ground connection, between inverting input with output terminal, be connected the 11 resistance R in parallel
11with the second electric capacity C
2, output terminal and the 7th resistance R
7, the 12 resistance R
12connect, output terminal is X
2output terminal; 5th operational amplifier A
5inverting input and the 12 resistance R
12connect, in-phase input end ground connection, is connected the 3rd electric capacity C between inverting input with output terminal
3, output terminal and the tenth resistance R
10connection, the 13 resistance R
13connect, output terminal is X
3output terminal; 6th operational amplifier A
6inverting input and the 13 resistance R
13connect, in-phase input end ground connection, is connected the 14 resistance R between inverting input with output terminal
14, output terminal and the 15 resistance R
15connect; 7th operational amplifier A
7inverting input and the 15 resistance R
15connect, in-phase input end ground connection, between inverting input with output terminal, be connected the 16 resistance R in parallel
16with the 4th electric capacity C
4, output terminal and the 9th resistance R
9connect, output terminal is X
4output terminal.
By X in Fig. 1
1output terminal, X
2output terminal, X
3output terminal and X
4output terminal is connected to oscilloscope signal input end or computing machine concerned interface, can show X
1, X
2, X
3with X
4oscillogram.
Oscillographic phasor mode is used to observe, X
1-X
2output terminal phasor signal as shown in Figure 2, X
1-X
3output terminal phasor signal as shown in Figure 3, X
1-X
4output terminal phasor signal as shown in Figure 4, X
2-X
3output terminal phasor signal as shown in Figure 5, X
2-X
4output terminal phasor signal as shown in Figure 6, X
3-X
4output terminal phasor signal as shown in Figure 7.By Fig. 2 to Fig. 7, demonstrate validity of the present utility model.If the 6th resistance R
6replaced by variable resistor, continuously change resistance value, the various curves that chaos develops can being observed, by two identical circuit through suitably connecting, the various experiments such as the synchronous and chaotic secret communication of the two vortex type cell neural network hyperchaotic circuit of quadravalence can be carried out.
The component parameter of the utility model embodiment is as follows: A
1, A
2, A
3, A
4, A
5, A
6, A
7model is TL082 or TL084, R
1=R
2=R
8=R
9=R
13=R
15=10k Ω, R
3=3.3k Ω, R
4=80k Ω, R
5=18k Ω, R
6=300k Ω, R
7=4k Ω, R
10=R
12=1k Ω, R
11=R
14=5k Ω, R
16=100k Ω, R
6=24k Ω (variable resistor), C
1=C
2=C
3=C
4=0.01 μ F.
Claims (2)
1. the two vortex type cell neural network hyperchaotic circuit of quadravalence, is made up of seven operational amplifiers and resistance and electric capacity, it is characterized in that: described seven operational amplifiers, wherein: the first operational amplifier (A
1) inverting input and the first resistance (R
1) connect, in-phase input end ground connection, is connected the second resistance (R between inverting input with output terminal
2), output terminal and the 5th resistance (R
5), the 3rd resistance (R
3), the 8th resistance (R
8) connect; Second operational amplifier (A
2) inverting input and the 3rd resistance (R
3) connect, in-phase input end ground connection, is connected the 4th resistance (R between inverting input with output terminal
4), output terminal and the 6th resistance (R
6) connect; 3rd operational amplifier (A
3) inverting input and the 5th resistance (R
5), the 6th resistance (R
6), the 7th resistance (R
7) connect, in-phase input end ground connection, is connected the first electric capacity (C between inverting input with output terminal
1), output terminal and the first resistance (R
1) connect, output terminal is X
1output terminal; Four-operational amplifier (A
4) inverting input and the 8th resistance (R
8), the 9th resistance (R
9), the tenth resistance (R
10) connect, in-phase input end ground connection, be connected the 11 resistance (R in parallel between inverting input with output terminal
11) and the second electric capacity (C
2), output terminal and the 7th resistance (R
7), the 12 resistance (R
12) connect, output terminal is X
2output terminal; 5th operational amplifier (A
5) inverting input and the 12 resistance (R
12) connect, in-phase input end ground connection, is connected the 3rd electric capacity (C between inverting input with output terminal
3), output terminal and the tenth resistance (R
10) connect, the 13 resistance (R
13) connect, output terminal is X
3output terminal; 6th operational amplifier (A
6) inverting input and the 13 resistance (R
13) connect, in-phase input end ground connection, is connected the 14 resistance (R between inverting input with output terminal
14), output terminal and the 15 resistance (R
15) connect; 7th operational amplifier (A
7) inverting input and the 15 resistance (R
15) connect, in-phase input end ground connection, be connected the 16 resistance (R in parallel between inverting input with output terminal
16) and the 4th electric capacity (C
4), output terminal and the 9th resistance (R
9) connect, output terminal is X
4output terminal.
2. the two vortex type cell neural network hyperchaotic circuit of quadravalence according to claim 1, is characterized in that: described 6th resistance (R
6) be variable resistor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420663186.4U CN204166774U (en) | 2014-11-07 | 2014-11-07 | The two vortex type cell neural network hyperchaotic circuit of quadravalence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420663186.4U CN204166774U (en) | 2014-11-07 | 2014-11-07 | The two vortex type cell neural network hyperchaotic circuit of quadravalence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN204166774U true CN204166774U (en) | 2015-02-18 |
Family
ID=52540440
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201420663186.4U Expired - Fee Related CN204166774U (en) | 2014-11-07 | 2014-11-07 | The two vortex type cell neural network hyperchaotic circuit of quadravalence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN204166774U (en) |
-
2014
- 2014-11-07 CN CN201420663186.4U patent/CN204166774U/en not_active Expired - Fee Related
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150218 Termination date: 20151107 |
|
| EXPY | Termination of patent right or utility model |