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Adaptive delayed feedback control to stabilize in-phase - - PowerPoint PPT Presentation

Adaptive delayed feedback control to stabilize in-phase synchronization in complex oscillator networks Viktor Novienko September 2019, Rostock Synchronous behavior can be desirable or harmful. Power grids Parkinsons disease, essential


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SLIDE 1

Adaptive delayed feedback control to stabilize in-phase synchronization in complex oscillator networks

Viktor Novičenko

September 2019, Rostock

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SLIDE 2

Synchronous behavior can be desirable or harmful. Power grids Parkinson’s disease, essential tremor Pedestrians on a bridge Cardiac pacemaker cells Internal circadian clock The ability to control synchrony in oscillatory network covers a wide range of real-world applications.

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SLIDE 3

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

slide-4
SLIDE 4

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function

G (x, x) = 0

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SLIDE 5

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function “central” oscillator with

˙ x = f (x) |f (x) − fi (x)| ∼ ε G (x, x) = 0

slide-6
SLIDE 6

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function “central” oscillator with has a stable periodic solution and a phase response curve

˙ x = f (x) |f (x) − fi (x)| ∼ ε ξ (t + T) = ξ (t) z (t + T) = z (t) G (x, x) = 0

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SLIDE 7

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function “central” oscillator with has a stable periodic solution and a phase response curve

˙ x = f (x) |f (x) − fi (x)| ∼ ε ξ (t + T) = ξ (t) z (t + T) = z (t)

phase reduction

G (x, x) = 0

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SLIDE 8

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function “central” oscillator with has a stable periodic solution and a phase response curve

˙ x = f (x) |f (x) − fi (x)| ∼ ε ξ (t + T) = ξ (t) z (t + T) = z (t)

phase reduction

G (x, x) = 0 ˙ ψi = ωi + ε

N

  • j=1

aijh (ψj − ψi)

with frequency and coupling function

ωi = Ωi − Ω h (χ) = 1 T

T

ˆ

  • zT s

  • · G
  • ξ

s + χ Ω

  • , ξ

s Ω

  • ds
slide-9
SLIDE 9

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function “central” oscillator with has a stable periodic solution and a phase response curve

˙ x = f (x) |f (x) − fi (x)| ∼ ε ξ (t + T) = ξ (t) z (t + T) = z (t)

phase reduction

G (x, x) = 0 ˙ ψi = ωi + ε

N

  • j=1

aijh (ψj − ψi)

with frequency and coupling function

ωi = Ωi − Ω h (χ) = 1 T

T

ˆ

  • zT s

  • · G
  • ξ

s + χ Ω

  • , ξ

s Ω

  • ds

Weakly coupled near-identical limit cycle oscillators under delayed feedback control:

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)]

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SLIDE 10

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function “central” oscillator with has a stable periodic solution and a phase response curve

˙ x = f (x) |f (x) − fi (x)| ∼ ε ξ (t + T) = ξ (t) z (t + T) = z (t)

phase reduction

G (x, x) = 0 ˙ ψi = ωi + ε

N

  • j=1

aijh (ψj − ψi)

with frequency and coupling function

ωi = Ωi − Ω h (χ) = 1 T

T

ˆ

  • zT s

  • · G
  • ξ

s + χ Ω

  • , ξ

s Ω

  • ds

Weakly coupled near-identical limit cycle oscillators under delayed feedback control:

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)]

with time delays |τi − Ti| ∼ |τi − T| ∼ ε

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SLIDE 11

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function “central” oscillator with has a stable periodic solution and a phase response curve

˙ x = f (x) |f (x) − fi (x)| ∼ ε ξ (t + T) = ξ (t) z (t + T) = z (t)

phase reduction

G (x, x) = 0 ˙ ψi = ωi + ε

N

  • j=1

aijh (ψj − ψi)

with frequency and coupling function

ωi = Ωi − Ω h (χ) = 1 T

T

ˆ

  • zT s

  • · G
  • ξ

s + χ Ω

  • , ξ

s Ω

  • ds

Weakly coupled near-identical limit cycle oscillators under delayed feedback control:

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)]

with time delays |τi − Ti| ∼ |τi − T| ∼ ε phase reduction for system with time delay

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SLIDE 12

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function “central” oscillator with has a stable periodic solution and a phase response curve

˙ x = f (x) |f (x) − fi (x)| ∼ ε ξ (t + T) = ξ (t) z (t + T) = z (t)

phase reduction

G (x, x) = 0 ˙ ψi = ωi + ε

N

  • j=1

aijh (ψj − ψi)

with frequency and coupling function

ωi = Ωi − Ω h (χ) = 1 T

T

ˆ

  • zT s

  • · G
  • ξ

s + χ Ω

  • , ξ

s Ω

  • ds

Weakly coupled near-identical limit cycle oscillators under delayed feedback control:

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)]

with time delays |τi − Ti| ∼ |τi − T| ∼ ε phase reduction for system with time delay

˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi)

  • V. Novičenko: Delayed feedback control of synchronization in weakly coupled
  • scillator networks, Phys. Rev. E 92, 022919 (2015)
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SLIDE 13

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function “central” oscillator with has a stable periodic solution and a phase response curve

˙ x = f (x) |f (x) − fi (x)| ∼ ε ξ (t + T) = ξ (t) z (t + T) = z (t)

phase reduction

G (x, x) = 0 ˙ ψi = ωi + ε

N

  • j=1

aijh (ψj − ψi)

with frequency and coupling function

ωi = Ωi − Ω h (χ) = 1 T

T

ˆ

  • zT s

  • · G
  • ξ

s + χ Ω

  • , ξ

s Ω

  • ds

Weakly coupled near-identical limit cycle oscillators under delayed feedback control:

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)]

with time delays |τi − Ti| ∼ |τi − T| ∼ ε phase reduction for system with time delay

˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi)

effective coupling strength effective frequency

εeff = εα (KC) ωeff

i

= ωi + Ωτi − Ti T [α (KC) − 1]

  • V. Novičenko: Delayed feedback control of synchronization in weakly coupled
  • scillator networks, Phys. Rev. E 92, 022919 (2015)
slide-14
SLIDE 14

Weakly coupled near-identical limit cycle oscillators without control:

˙ xi = fi (xi) + ε

N

  • j=1

aijG (xj, xi)

coupling function “central” oscillator with has a stable periodic solution and a phase response curve

˙ x = f (x) |f (x) − fi (x)| ∼ ε ξ (t + T) = ξ (t) z (t + T) = z (t)

phase reduction

G (x, x) = 0 ˙ ψi = ωi + ε

N

  • j=1

aijh (ψj − ψi)

with frequency and coupling function

ωi = Ωi − Ω h (χ) = 1 T

T

ˆ

  • zT s

  • · G
  • ξ

s + χ Ω

  • , ξ

s Ω

  • ds

Weakly coupled near-identical limit cycle oscillators under delayed feedback control:

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)]

with time delays |τi − Ti| ∼ |τi − T| ∼ ε phase reduction for system with time delay

˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi)

effective coupling strength effective frequency

εeff = εα (KC) ωeff

i

= ωi + Ωτi − Ti T [α (KC) − 1] C =

T

ˆ

  • zT (s) · D2f (ξ (s) , 0)

[∇g (ξ (s))]T · ˙ ξ (s)

  • ds

the function and the constant

α (KC) = (1 + KC)−1

  • V. Novičenko: Delayed feedback control of synchronization in weakly coupled
  • scillator networks, Phys. Rev. E 92, 022919 (2015)
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SLIDE 15

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] ˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi) εeff = εα (KC)

where

ωeff

i

= ωi + Ωτi − Ti T [α (KC) − 1] α (KC) = (1 + KC)−1

(1)

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SLIDE 16

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] ˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi) εeff = εα (KC)

where

ωeff

i

= ωi + Ωτi − Ti T [α (KC) − 1] α (KC) = (1 + KC)−1

1 2

  • 1

α (KC) KC

(1)

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SLIDE 17

(i) All time delays are the same synchronization can not be controled

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] ˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi) εeff = εα (KC)

where

ωeff

i

= ωi + Ωτi − Ti T [α (KC) − 1] α (KC) = (1 + KC)−1

1 2

  • 1

α (KC) KC

τi = τ = T ωeff

i

= α (KC) ωi ⇒

(1)

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SLIDE 18

(i) All time delays are the same synchronization can not be controled (ii) The time delays are equal to the natural periods

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] ˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi) εeff = εα (KC)

where

ωeff

i

= ωi + Ωτi − Ti T [α (KC) − 1] α (KC) = (1 + KC)−1

1 2

  • 1

α (KC) KC

τi = τ = T ωeff

i

= α (KC) ωi ⇒ τi = Ti ⇒ ωeff

i

= ωi

(1)

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SLIDE 19

(i) All time delays are the same synchronization can not be controled (ii) The time delays are equal to the natural periods (iii) The time delays are in-phase synchronization is a stable solution of Eq. (1)

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] ˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi) εeff = εα (KC)

where

ωeff

i

= ωi + Ωτi − Ti T [α (KC) − 1] α (KC) = (1 + KC)−1

1 2

  • 1

α (KC) KC

τi = τ = T ωeff

i

= α (KC) ωi ⇒ τi = Ti ⇒ ωeff

i

= ωi τi − Ti = T − Ti 1 − α (KC) ⇒ ωeff

i

= 0

(1)

ψ1 = ψ2 = . . . = ψN

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SLIDE 20

(i) All time delays are the same synchronization can not be controled (ii) The time delays are equal to the natural periods (iii) The time delays are in-phase synchronization is a stable solution of Eq. (1)

˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] ˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi) εeff = εα (KC)

where

ωeff

i

= ωi + Ωτi − Ti T [α (KC) − 1] α (KC) = (1 + KC)−1

1 2

  • 1

α (KC) KC

τi = τ = T ωeff

i

= α (KC) ωi ⇒ τi = Ti ⇒ ωeff

i

= ωi τi − Ti = T − Ti 1 − α (KC) ⇒ ωeff

i

= 0

(1)

ψ1 = ψ2 = . . . = ψN

Our goal is to derive an algorithm for authomatic adjusment

  • f the time delays to acheve in-phase synchronization
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SLIDE 21
  • V. Pyragas and K. Pyragas: Adaptive modification of the delayed feedback control

algorithm with a continuously varying time delay, Phys. Lett. A 375, 3866 (2011)

slide-22
SLIDE 22
  • V. Pyragas and K. Pyragas: Adaptive modification of the delayed feedback control

algorithm with a continuously varying time delay, Phys. Lett. A 375, 3866 (2011) Main idea:

  • construct potential which is equal to zero at desirable state and positive at other

states

  • use gradient descent method for the time delay

V ≥ 0 ˙ τ = −∂V ∂τ

slide-23
SLIDE 23
  • V. Pyragas and K. Pyragas: Adaptive modification of the delayed feedback control

algorithm with a continuously varying time delay, Phys. Lett. A 375, 3866 (2011) Main idea:

  • construct potential which is equal to zero at desirable state and positive at other

states

  • use gradient descent method for the time delay

V ≥ 0 ˙ τ = −∂V ∂τ ˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] V = 1 2

N

  • i,j=1

aij [sj (t) − si (t)]2

potential for the in-phase synchronization

  • V. Novičenko and I. Ratas: In-phase synchronization in complex oscillator networks by

adaptive delayed feedback control, Phys. Rev. E 98, 042302 (2018)

slide-24
SLIDE 24
  • V. Pyragas and K. Pyragas: Adaptive modification of the delayed feedback control

algorithm with a continuously varying time delay, Phys. Lett. A 375, 3866 (2011) Main idea:

  • construct potential which is equal to zero at desirable state and positive at other

states

  • use gradient descent method for the time delay

V ≥ 0 ˙ τ = −∂V ∂τ ˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] V = 1 2

N

  • i,j=1

aij [sj (t) − si (t)]2

potential for the in-phase synchronization

si (t) ≈ g

  • ξ
  • t + ψi

  • ⇒ ∂V

∂τk = Ω−1

N

  • i,j=1

aij [sj (t) − si (t)]

  • ˙

sj (t) ∂ψj ∂τk − ˙ si (t) ∂ψi ∂τk

  • V. Novičenko and I. Ratas: In-phase synchronization in complex oscillator networks by

adaptive delayed feedback control, Phys. Rev. E 98, 042302 (2018)

slide-25
SLIDE 25
  • V. Pyragas and K. Pyragas: Adaptive modification of the delayed feedback control

algorithm with a continuously varying time delay, Phys. Lett. A 375, 3866 (2011) Main idea:

  • construct potential which is equal to zero at desirable state and positive at other

states

  • use gradient descent method for the time delay

V ≥ 0 ˙ τ = −∂V ∂τ ˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] V = 1 2

N

  • i,j=1

aij [sj (t) − si (t)]2

potential for the in-phase synchronization by assuming that is small and do not change in time we get

|ψj − ψi| si (t) ≈ g

  • ξ
  • t + ψi

  • ⇒ ∂V

∂τk = Ω−1

N

  • i,j=1

aij [sj (t) − si (t)]

  • ˙

sj (t) ∂ψj ∂τk − ˙ si (t) ∂ψi ∂τk

  • Lψ ∼ τ

L = D − A

here

  • V. Novičenko and I. Ratas: In-phase synchronization in complex oscillator networks by

adaptive delayed feedback control, Phys. Rev. E 98, 042302 (2018)

slide-26
SLIDE 26
  • V. Pyragas and K. Pyragas: Adaptive modification of the delayed feedback control

algorithm with a continuously varying time delay, Phys. Lett. A 375, 3866 (2011) Main idea:

  • construct potential which is equal to zero at desirable state and positive at other

states

  • use gradient descent method for the time delay

V ≥ 0 ˙ τ = −∂V ∂τ ˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] V = 1 2

N

  • i,j=1

aij [sj (t) − si (t)]2

potential for the in-phase synchronization by assuming that is small and do not change in time we get

|ψj − ψi| si (t) ≈ g

  • ξ
  • t + ψi

  • ⇒ ∂V

∂τk = Ω−1

N

  • i,j=1

aij [sj (t) − si (t)]

  • ˙

sj (t) ∂ψj ∂τk − ˙ si (t) ∂ψi ∂τk

  • Lψ ∼ τ

L = D − A

here

  • V. Novičenko and I. Ratas: In-phase synchronization in complex oscillator networks by

adaptive delayed feedback control, Phys. Rev. E 98, 042302 (2018)

˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi)

slide-27
SLIDE 27
  • V. Pyragas and K. Pyragas: Adaptive modification of the delayed feedback control

algorithm with a continuously varying time delay, Phys. Lett. A 375, 3866 (2011) Main idea:

  • construct potential which is equal to zero at desirable state and positive at other

states

  • use gradient descent method for the time delay

V ≥ 0 ˙ τ = −∂V ∂τ ˙ xi =fi (xi, ui (t)) + ε

N

  • j=1

aijG (xj, xi) si (t) =g (xi (t)) ui (t) =K [si (t − τi) − si (t)] V = 1 2

N

  • i,j=1

aij [sj (t) − si (t)]2

potential for the in-phase synchronization by assuming that is small and do not change in time we get

|ψj − ψi| si (t) ≈ g

  • ξ
  • t + ψi

  • ⇒ ∂V

∂τk = Ω−1

N

  • i,j=1

aij [sj (t) − si (t)]

  • ˙

sj (t) ∂ψj ∂τk − ˙ si (t) ∂ψi ∂τk

  • Lψ ∼ τ

∂ψi ∂τk ∼ L†

ik

finally the derivative

L = D − A

here

  • V. Novičenko and I. Ratas: In-phase synchronization in complex oscillator networks by

adaptive delayed feedback control, Phys. Rev. E 98, 042302 (2018)

˙ ψi = ωeff

i

+ εeff

N

  • j=1

aijh (ψj − ψi)

slide-28
SLIDE 28

fi (x, u) =   x(1)

  • 1 − x2

(1) − x2 (2)

  • − Ωix(2) + u

x(2)

  • 1 − x2

(1) − x2 (2)

  • + Ωix(1)

  G (y, x) =

  • 2 y(1) − x(1)
  • ⇒ h (χ) = sin (χ)

6 4 3 5 2 1

r = 1 6

6

  • i=1

exp [iψi]

slide-29
SLIDE 29

fi (x, u) =   x(1)

  • 1 − x2

(1) − x2 (2)

  • − Ωix(2) + u

x(2)

  • 1 − x2

(1) − x2 (2)

  • + Ωix(1)

  G (y, x) =

  • 2 y(1) − x(1)
  • ⇒ h (χ) = sin (χ)

6 4 3 5 2 1

r = 1 6

6

  • i=1

exp [iψi]

2 6.23 6.27 6.31 1 2 3 10 4 0.5 1 (a) (b) (c)

slide-30
SLIDE 30

fi (x, u) =

  • x(1) − x3

(1)/3 − x(2) + 0.5

ǫi x(1) (1 + u) + 0.7 − 0.8x(2)

  • G (y, x) =
  • y(1)/ 2 + y(2)
  • − x(1)/ 2 + x(2)

2 4 6

  • 0.2

0.2 0.4

h( )

slide-31
SLIDE 31

fi (x, u) =

  • x(1) − x3

(1)/3 − x(2) + 0.5

ǫi x(1) (1 + u) + 0.7 − 0.8x(2)

  • G (y, x) =
  • y(1)/ 2 + y(2)
  • − x(1)/ 2 + x(2)

2 4 6

  • 0.2

0.2 0.4

h( )

39 39.2 39.4 39.6 39.4 39.5 39.6 0.0798 0.08 0.0802 1 2 3 4 5 6 105 5000 10000 (a) (b) (c) (d)

slide-32
SLIDE 32

fi (x, u) =

  • x(1) − x3

(1)/3 − x(2) + 0.5

ǫi x(1) (1 + u) + 0.7 − 0.8x(2)

  • G (y, x) =
  • y(1)/ 2 + y(2)
  • − x(1)/ 2 + x(2)

2 4 6

  • 0.2

0.2 0.4

h( )

39 39.2 39.4 39.6 39.4 39.5 39.6 0.0798 0.08 0.0802 1 2 3 4 5 6 105 5000 10000 (a) (b) (c) (d)

  • 2

2 10 20 30 40 50

  • 2

2 (a) (b)

slide-33
SLIDE 33

The end