Derivation of border-collision maps from limit cycle bifurcations

Size: px
Start display at page:

Download "Derivation of border-collision maps from limit cycle bifurcations"

Transcription

1 Derivation of border-collision maps from limit cycle bifurcations Alan Champneys Department of Engineering Mathematics, University of Bristol Mario di Bernardo, Chris Budd, Piotr Kowalczyk Gabor Licsko,... Imperial 19/6/9 p. 1

2 Contents 1: discontinuity-induced bifurcation Imperial 19/6/9 p. 2

3 Contents 1: discontinuity-induced bifurcation 2: grazing bifurcation in impacting systems Ex. i. a rattling hydraulic valve Imperial 19/6/9 p. 2

4 Contents 1: discontinuity-induced bifurcation 2: grazing bifurcation in impacting systems Ex. i. a rattling hydraulic valve 3: grazing & corner bifurcation in PWS systems Ex. ii. extended model for stick-slip Ex. iii. DC-DC converter Imperial 19/6/9 p. 2

5 Contents 1: discontinuity-induced bifurcation 2: grazing bifurcation in impacting systems Ex. i. a rattling hydraulic valve 3: grazing & corner bifurcation in PWS systems Ex. ii. extended model for stick-slip Ex. iii. DC-DC converter 4: grazing-sliding bifurcation in Filippov systems Ex. iv. a simple dry friction oscillator Imperial 19/6/9 p. 2

6 Contents 1: discontinuity-induced bifurcation 2: grazing bifurcation in impacting systems Ex. i. a rattling hydraulic valve 3: grazing & corner bifurcation in PWS systems Ex. ii. extended model for stick-slip Ex. iii. DC-DC converter 4: grazing-sliding bifurcation in Filippov systems Ex. iv. a simple dry friction oscillator 5: Conclusion Imperial 19/6/9 p. 2

7 Contents 1: discontinuity-induced bifurcation 2: grazing bifurcation in impacting systems Ex. i. a rattling hydraulic valve 3: grazing & corner bifurcation in PWS systems Ex. ii. extended model for stick-slip Ex. iii. DC-DC converter 4: grazing-sliding bifurcation in Filippov systems Ex. iv. a simple dry friction oscillator 5: Conclusion Piecewise-Smooth Dynamical Systems: Theory & Applications dibernardo, Budd, C. & Kowalczyk Springer Jan SIAM review Dec 8 Imperial 19/6/9 p. 2

8 three types of nonsmoothness F Impacting systems: x Imperial 19/6/9 p. 3

9 three types of nonsmoothness F Impacting systems: x Imperial 19/6/9 p. 3

10 three types of nonsmoothness F Impacting systems: x Nonlinear Nonsmooth Piecewise smooth continuous systems: Imperial 19/6/9 p. 3

11 three types of nonsmoothness F Impacting systems: x Nonlinear Nonsmooth Piecewise smooth continuous systems: Y X Y X Y X a tlz b tgz T R P T P al Q Q ug ug Imperial 19/6/9 p. 3

12 three types of nonsmoothness F Impacting systems: x Nonlinear Nonsmooth Piecewise smooth continuous systems: F F 1 x Filippov systems: x= F 2 Imperial 19/6/9 p. 3

13 three types of nonsmoothness F Impacting systems: x Nonlinear Nonsmooth Piecewise smooth continuous systems: F F 1 x Filippov systems: x= F 2 Imperial 19/6/9 p. 3

14 (in)formalisms for nonsmooth system A piecewise smooth (PWS) system is set of ODEs ẋ = F i (x,µ), if x S i, Imperial 19/6/9 p. 4

15 (in)formalisms for nonsmooth system A piecewise smooth (PWS) system is set of ODEs ẋ = F i (x,µ), if x S i, discontinuity set Σ ij := S i S j is R (n 1) -dim manifold S j S i. Each F i smooth in S i generates flow Φ i (x,t) Σ ij S j x(t) S i Imperial 19/6/9 p. 4

16 (in)formalisms for nonsmooth system A piecewise smooth (PWS) system is set of ODEs ẋ = F i (x,µ), if x S i, discontinuity set Σ ij := S i S j is R (n 1) -dim manifold S j S i. Each F i smooth in S i generates flow Φ i (x,t) Σ ij S j x(t) S i Degree of smoothness of x Σ ij is order of 1st non-zero term in Taylor expansion of Φ i (x,t) Φ j (x,t) Imperial 19/6/9 p. 4

17 (in)formalisms for nonsmooth system A piecewise smooth (PWS) system is set of ODEs ẋ = F i (x,µ), if x S i, discontinuity set Σ ij := S i S j is R (n 1) -dim manifold S j S i. Each F i smooth in S i generates flow Φ i (x,t) Σ ij S j x(t) S i Degree of smoothness of x Σ ij is order of 1st non-zero term in Taylor expansion of Φ i (x,t) Φ j (x,t) Imperial 19/6/9 p. 4

18 impacting systems: deg. need reset map x R ij (x,µ), if x Σ ij Imperial 19/6/9 p. 5

19 impacting systems: deg. need reset map x R ij (x,µ), if x Σ ij PWS continuous systems: deg. 2 i.e. F i (x) = F j (x) but k 1 s.t. dk F i dx k dk F j dx k Imperial 19/6/9 p. 5

20 impacting systems: deg. need reset map x R ij (x,µ), if x Σ ij PWS continuous systems: deg. 2 i.e. F i (x) = F j (x) but k 1 s.t. dk F i dx k dk F j dx k Filippov systems deg. 1. Have possibility of sliding motion. E.g. if Σ ij := {H(x) = }, (H x F 1 ) (H x F 2 ) <. F 1 (a) (b) Σ F 2 Imperial 19/6/9 p. 5

21 impacting systems: deg. need reset map x R ij (x,µ), if x Σ ij PWS continuous systems: deg. 2 i.e. F i (x) = F j (x) but k 1 s.t. dk F i dx k dk F j dx k Filippov systems deg. 1. Have possibility of sliding motion. E.g. if Σ ij := {H(x) = }, (H x F 1 ) (H x F 2 ) <. F 1 (a) (b) Σ F 2 Imperial 19/6/9 p. 5

22 bifurcation All smooth bifurcations can occur in PWS systems (because Poincaré map is typically analytic!) Imperial 19/6/9 p. 6

23 bifurcation All smooth bifurcations can occur in PWS systems (because Poincaré map is typically analytic!) Also discontinuity induced bifurcations (DIB) where invariant sets have non-structurally stable interaction with a Σ ij. Imperial 19/6/9 p. 6

24 bifurcation All smooth bifurcations can occur in PWS systems (because Poincaré map is typically analytic!) Also discontinuity induced bifurcations (DIB) where invariant sets have non-structurally stable interaction with a Σ ij. Can lead to classical (topological) bifurcation or not (a) (b) S 1 S 1 S 2 S 2 S 3 S 3 S 4 S 4 Imperial 19/6/9 p. 6

25 bifurcation All smooth bifurcations can occur in PWS systems (because Poincaré map is typically analytic!) Also discontinuity induced bifurcations (DIB) where invariant sets have non-structurally stable interaction with a Σ ij. Can lead to classical (topological) bifurcation or not (a) (b) S 1 S 1 S 2 S 2 S 3 S 3 S 4 S 4 idea topological DIB PW structural stability Imperial 19/6/9 p. 6

26 this talk: periodic orbit DIBs Goal: Catalogue & unfold codim-1 possibilities. E.g. grazing bifurcation : [Nordmark] Imperial 19/6/9 p. 7

27 this talk: periodic orbit DIBs Goal: Catalogue & unfold codim-1 possibilities. E.g. grazing bifurcation : [Nordmark] Derive map close to DIB as composition of smooth Poincaré map P π and discontinuity mapping PDM Π P π PDM p(t) Σ : {H(x) = } Imperial 19/6/9 p. 7

28 this talk: periodic orbit DIBs Goal: Catalogue & unfold codim-1 possibilities. E.g. grazing bifurcation : [Nordmark] Derive map close to DIB as composition of smooth Poincaré map P π and discontinuity mapping PDM Π P π PDM p(t) Σ : {H(x) = } Use results on border collisions of maps to classify dynamics [Feigin] [Yorke, Banergee et al] Imperial 19/6/9 p. 7

29 this talk: periodic orbit DIBs Goal: Catalogue & unfold codim-1 possibilities. E.g. grazing bifurcation : [Nordmark] Derive map close to DIB as composition of smooth Poincaré map P π and discontinuity mapping PDM Π P π PDM p(t) Σ : {H(x) = } Use results on border collisions of maps to classify dynamics [Feigin] [Yorke, Banergee et al] Nb. piecewise linear (PWL) flow PWL map Imperial 19/6/9 p. 7

30 2. Grazing bifurcation in impact systems cf. Theory of impact oscillators: [Peterka] 197s, [Thompson & Ghaffari], [Shaw & Holmes] 198s, [Budd et al], [Nordmark] 199s. Consider single impact surface Σ := {H(x) = } with impact law: x + = R(x ) = x + W(x )H x F(x ) W is smooth function and H x F(x ) is velocity. e.g. W = (1 + r)h x Newton s restitution law More complex impact laws are possible, e.g. impact with friction (see later) Imperial 19/6/9 p. 8

31 a motivating example Oscillations of a pressure relief valve. Licsko, C. & Hös noise at 375Hz at a range of flow speeds Amplitude x n [1/s] f [Hz] Amplitude x n [1/s] f [Hz] 5 Imperial 19/6/9 p. 9

32 a simple (dimensionless) model ẏ 1 = y 2 ẏ 2 = κy 2 (y 1 + δ) + y 3 ẏ 3 = β (q y 3 y 1 ) y 1 > valve displacement; y 2 valve velocity, y 3 pressure β valve spring stiffness; δ valve pre-stress q, flow rate; κ, fluid damping at y 1 = apply a Newtonian restitution law: y 2 (t + ) = ry 2 (t ) Low κ limit cycles between 2 Hopf bifs q = q min, q max. Imperial 19/6/9 p. 1

33 brute force numerics κ = 1.25, β = 2, δ = 1 (representative of experiment) pres vel 1 2 pres disp disp vel 5 25 pres vel 5 disp q pres 1 5 pres vel 6 disp 8 1 vel disp Chaotic rattling due to Grazing events at q 7.54, 5.95 Imperial 19/6/9 p. 11

34 discontinuity mapping (PDM) Π.1 x H x 4 x 5 x 2 x 3 x 6 Σ x H x F PDM: x 1 x 5 maps Poincaré section Π = {H x F(x) = } to itself Computes correction to trajectory as if Σ were absent Imperial 19/6/9 p. 12

35 explicit form of PDM cf. [Fredrickson & Nordmark] { x if H(x) x x + β(x,y)y if H(x) < } where β = 2a where y = H and ( W (H xf) x W a ) F + O(y 2 ), a(x) = d 2 H/dt 2 = (H x F) x F = H xx FF + H x F x F square root map Imperial 19/6/9 p. 13

36 Proof is by Taylor expansion of flow in (x,y) and IFT Imperial 19/6/9 p. 14

37 Proof is by Taylor expansion of flow in (x,y) and IFT Use PDM to correct non-grazing Poincaré map P π : P N = P π P PDM P N (x,µ) = Nx + Mµ + O(x 2,µ 2 ) if H(x) > where H x (x)e = = Nx + Mµ + Ey + O(x 2,µ 2,y 2 ) H(x) < Imperial 19/6/9 p. 14

38 Proof is by Taylor expansion of flow in (x,y) and IFT Use PDM to correct non-grazing Poincaré map P π : P N = P π P PDM P N (x,µ) = Nx + Mµ + O(x 2,µ 2 ) if H(x) > where H x (x)e = = Nx + Mµ + Ey + O(x 2,µ 2,y 2 ) H(x) < Note since y = H(x), linear term for y < is not Nx has correction too. Imperial 19/6/9 p. 14

39 Proof is by Taylor expansion of flow in (x,y) and IFT Use PDM to correct non-grazing Poincaré map P π : P N = P π P PDM P N (x,µ) = Nx + Mµ + O(x 2,µ 2 ) if H(x) > where H x (x)e = = Nx + Mµ + Ey + O(x 2,µ 2,y 2 ) H(x) < Note since y = H(x), linear term for y < is not Nx has correction too. But in R n only have conditions on N, M, and E for given periodic orbit to exist [Nordmark 21] Imperial 19/6/9 p. 14

40 Quasi-1D behaviour Simplest case: if λ 1 > is real leading eigenvalue of N. then dynamics is determined by 1D map: f(x) = µ x + λ 1 µ x < µ, f(x) = λ 1 x x > µ, 1. 2/3 < λ 1 < 1: robust chaotic attractor size µ. 2. If 1/4 < λ 1 < 2/3 alternating series of chaos and period-n orbits, n as µ. 3. < λ 1 < 1/4: just period-adding cascade Imperial 19/6/9 p. 15

41 2D normal form Again everything depends on eigenvalues of N. WLOG use normal form with N = ( τ 1 δ a 2 1 τ ), E = 3 ( 1 m = n=55 3 n=4 m = 4 n=3 m = 3 ) b, C T = [1 ], (1) a 2 1 δ maximal period m of bifurcating orbit of type b n 1 a Imperial 19/6/9 p. 16

42 example N = ( ), M = ( ), E = ( 1 ), C T = (1 ), D =. λ 1,2 =.1475 ±.4731i, τ =.295 and δ = Analysis m=3 maximal orbit bifurcates subcritically (a) (b) x.2 1 x x 1.25 x µ µ.5, µ.15 µ Imperial 19/6/9 p. 17

43 return to Ex.i: valve rattle Two grazing bifurcation events q = 7.54, q = 5.95 q = 5.95: λ 1 < m = 2, subcritical q = 7.54: λ 1 =.8537 jump to chaos. Iterate map.25 y [ ] Imperial 19/6/9 p. 18

44 3. DIBs in PWS continuous systems Simplest case: grazing bifurcation Analyse using discontinuity mapping: PDM Π 1 2 ε Π Π S S + Σ - -x δ x f εx 1 11 ts t 1 t 2 1 x^ Discontinuity Map tf Imperial 19/6/9 p. 19

45 general results for PDM Map discontinuity degree F jump Uniform Case Non-uniform δ-function x square-root 1 bounded F - O(1/2) 2 C F x O(3/2) O(3/2)-type 3 C 1 F xx O(5/2) O(3/2)-type F(x) continuous at Σ no immediate jump in attractor Imperial 19/6/9 p. 2

46 1D map with O(3/2) singularity Consider [Halse, di Bernardo et al] { νx µ x x νx + ηx 3/2 µ x > < ν < 1 simple fixed point. No bifurcation at µ =. but with η < get nearby fold at µ = 4(1 ν)3 3η 2 closer than smooth fold if ν 1) (much Imperial 19/6/9 p. 21

47 Also, get period-adding cascades. E.g. for γ = 3/2, η = 1. Then stable L k 1 R orbits exist for 8(ν k + 1) 3 12(1 ν k )(1 + ν k ) 2 ( ν k ) 2 27ν 2(k 1) (1 + ν + ν ν k 1 ) < µ < 1 ν k 1. (ν 1) case γ = 2: 5 45 k=6 k= k=5 3 βµ 25 2 k= k=3 5 k=2.2.4 α Imperial 19/6/9 p. 22

48 Ex.ii: A realistic stick-slip oscillator Dankowicz 1999 y 3 y 1 y 5 U = 1 y 1 - horizontal displacement; y 2 = ẏ 1 y 3 - vertical displacement; y 4 = ẏ 3 y 5 - shear deformation of asperities belt velocity U = 1 Imperial 19/6/9 p. 23

49 equations of motion ẏ 1 = y 2, ẏ 2 = 1 + ẏ 3 = y 4, ẏ 4 = sy 3 + [ 1 γu 1 y 4 y 2 + βu 2 (1 y 4 ) 2 ] K(y 1 ) e y1 d, ẏ 5 = 1 τ [(1 y 4) 1 y 4 y 5 ], gσ U e d [ µ(y 5 e y 1 1) + αu 2 S(y 1,y 4 ) ], where K(y 1 ) = 1 y 1 d, S(y 1,y 4 ) = (1 y 4 ) 1 y 4 K(y 1 )e y d. PWS continuous across discontinuity boundary y 4 = 1. Imperial 19/6/9 p. 24

50 grazing bifurcation analysis Dankowicz & Nordmark 2 3 successive zooms of bifurcation diagram: Imperial 19/6/9 p. 25

51 grazing bifurcation analysis Dankowicz & Nordmark 2 Simulation (left) and iteration of DM (right) in local map co-ordinates y Imperial 19/6/9 p. 25

52 Another DIB: boundary intersection (a) (b) Σ 1 F 1 Σ 2 S 1 C F 2 F 2 F 1 F 3 F 4 Σ 1 S 2 Σ 2 C (a) Boundary-intersection crossing (b) Corner collision - special case Imperial 19/6/9 p. 26

53 Analysis via discontinuity mapping H 2 = H 1 = F 1 x = F 2 PDM F 4 PDM F 3 H 2,x H 1,x locally piecewise-linear continuous map PDM(x) = ( ) x + x 2 F F 12 F 11 2 F 21 F 1 + O ( x 2) if x 2 > ( ) x + x 2 F F 32 F 31 4 F 41 F 3 + O ( x 2) if x 2 <, Imperial 19/6/9 p. 27

54 Ex.iii DC-DC Buck power converter [di Bernardo, C. & Budd 98], To overcome sliding use relay control on ramp signal v r Vr Ramp generator S open if vin1 c > v r S closed if in2 v c < v r S E D + v c Vc + + g i Ii Ii L Vv C g v V v R desired V Output V battery OFF battery ON t ẋ = a 1 + b 1 x c 1 y, ẏ = a 2 c 2 y + dh(σ(t) x), Imperial 19/6/9 p. 28

55 output voltage against input Imperial 19/6/9 p. 29

56 Corner-collision V (a) E= t V (b) E= Comparison between numerical and theoretical maps y(5t) (a) E=E (b) E=E y() (c) E - E =-.25 x(5t) y() (d) E - E =.25 t y(5t) y() y(5t) y() Imperial 19/6/9 p. 3

57 4. Sliding DIBs in Filippov systems Kowalczyk, Nordmark, dibernardo Four possible DIB involving collision of limit cycle with sliding boundary ˆΣ ; see Mike Jeffrey s talk S + C B A S + A B S (a) crossing sliding (b) grazing sliding C S + S + A C B (c) S switching sliding B (d) C adding sliding A Imperial 19/6/9 p. 31

58 Unfold with discontinuity mapping Di Bernardo, Kowalczyk, Nordmark Bifurcation type DM leading-order term Map singularity crossing sliding ε 2 + O(ε 3 ) 2 grazing sliding ε + O(ε 3/2 ) 1 switching sliding ε 3 + O(ε 4 ) 3 adding sliding ε 2 + O(ε 5/2 ) 2 Maps are non-invertible on one side Only grazing sliding jump in attractor Imperial 19/6/9 p. 32

59 Poincaré maps at grazing-sliding Kowalczyk 25 Sliding non-invertible Poincaré map. 2D case: ( x 1 x 2 ) ( ( τ 1 1 δ 1 τ 2 1 ) ( ) ( x 1 x 2 x 1 x 2 Robust chaotic attractors on lines ) ) + + ( ( 1 1 ) ) µ, if x 1, µ, if x 1. Imperial 19/6/9 p. 33

60 e.g. N1 = (a) x1.1 x 1 (c), N2 = τ2 1! µ. x 1 (b).2.2.1! µ x 1 (d) Imperial 19/6/9 p. 34

61 Ex.iv: a simple stick-slip oscillator u + u = C(1 u ) + A cos(νt), C(v) = α sgn(v) α1 v + α2 v 3 grazing-sliding of period-2 cycle for α = alpha1 = 1.5, α2 =.45, A =.1, ν = y (a) 1 (b) S2 y S ν y Imperial 19/6/9 p. 35

62 6. Conclusion periodic-orbit DIBs analysed via discontinuity mappings nonsmooth global Poincaré maps Imperial 19/6/9 p. 36

63 6. Conclusion periodic-orbit DIBs analysed via discontinuity mappings nonsmooth global Poincaré maps degree of smoothness of flow same degree of smoothness of map Imperial 19/6/9 p. 36

64 6. Conclusion periodic-orbit DIBs analysed via discontinuity mappings nonsmooth global Poincaré maps degree of smoothness of flow same degree of smoothness of map specific DIBs different forms of map, e.g: - multiple collision impact map with a jump Budd - grazing in impact systems square root map - grazing in PWS continuous 3/2-singularity - boundary-intersection crossing in Filippov PWL - grazing-sliding in Filippov singular PWL Kowalczyk Imperial 19/6/9 p. 36

65 6. Conclusion periodic-orbit DIBs analysed via discontinuity mappings nonsmooth global Poincaré maps degree of smoothness of flow same degree of smoothness of map specific DIBs different forms of map, e.g: - multiple collision impact map with a jump Budd - grazing in impact systems square root map - grazing in PWS continuous 3/2-singularity - boundary-intersection crossing in Filippov PWL - grazing-sliding in Filippov singular PWL Kowalczyk provides natural explanation of observed behaviour Imperial 19/6/9 p. 36

66 6. Conclusion periodic-orbit DIBs analysed via discontinuity mappings nonsmooth global Poincaré maps degree of smoothness of flow same degree of smoothness of map specific DIBs different forms of map, e.g: - multiple collision impact map with a jump Budd - grazing in impact systems square root map - grazing in PWS continuous 3/2-singularity - boundary-intersection crossing in Filippov PWL - grazing-sliding in Filippov singular PWL Kowalczyk provides natural explanation of observed behaviour lots of ongoing work; - catastrophic bifurcations in Filippov systems Jeffrey - DIBs in impacts with frictions Dankowicz & Nordmark Imperial 19/6/9 p. 36

Nonsmooth systems: synchronization, sliding and other open problems

Nonsmooth systems: synchronization, sliding and other open problems John Hogan Bristol Centre for Applied Nonlinear Mathematics, University of Bristol, England Nonsmooth systems: synchronization, sliding and other open problems 2 Nonsmooth Systems 3 What is a nonsmooth

More information

Dynamical Analysis of a Hydraulic Pressure Relief Valve

Dynamical Analysis of a Hydraulic Pressure Relief Valve Proceedings of the World Congress on Engineering 9 Vol II WCE 9, July -, 9, London, U.K. Dynamical Analysis of a Hydraulic Pressure Relief Valve Gábor Licskó Alan Champneys Csaba Hős Abstract A mathematical

More information

Szalai, R., & Osinga, H. M. (2007). Unstable manifolds of a limit cycle near grazing.

Szalai, R., & Osinga, H. M. (2007). Unstable manifolds of a limit cycle near grazing. Szalai, R., & Osinga, H. M. (2007). Unstable manifolds of a limit cycle near grazing. Early version, also known as pre-print Link to publication record in Explore Bristol Research PDF-document University

More information

Bifurcations in Nonsmooth Dynamical Systems

Bifurcations in Nonsmooth Dynamical Systems SIAM REVIEW Vol. 5, No. 4, pp. 629 7 c 28 Society for Industrial and Applied Mathematics Bifurcations in Nonsmooth Dynamical Systems Mario di Bernardo Chris J. Budd Alan R. Champneys Piotr Kowalczyk Arne

More information

The reduction to invariant cones for nonsmooth systems. Tassilo Küpper Mathematical Institute University of Cologne

The reduction to invariant cones for nonsmooth systems. Tassilo Küpper Mathematical Institute University of Cologne The reduction to invariant cones for nonsmooth systems Tassilo Küpper Mathematical Institute University of Cologne kuepper@math.uni-koeln.de International Workshop on Resonance Oscillations and Stability

More information

The problem of singularity in impacting systems

The problem of singularity in impacting systems The problem of singularity in impacting systems Soumitro Banerjee, Department of Physics Indian Institute of Science Education & Research, Kolkata, India The problem of singularity in impacting systems

More information

Strange dynamics of bilinear oscillator close to grazing

Strange dynamics of bilinear oscillator close to grazing Strange dynamics of bilinear oscillator close to grazing Ekaterina Pavlovskaia, James Ing, Soumitro Banerjee and Marian Wiercigroch Centre for Applied Dynamics Research, School of Engineering, King s College,

More information

Sliding Modes in Filippov Systems.

Sliding Modes in Filippov Systems. in Filippov Systems. School of Mathematics, Georgia Tech Joint work with Luciano Lopez (Univ. Bari) Geneva Conference In honor of Ernst Hairer 60th birthday References Filippov [DEs with discontinuous

More information

arxiv: v1 [nlin.cd] 7 Jun 2010

arxiv: v1 [nlin.cd] 7 Jun 2010 arxiv:006.236v [nlin.cd] 7 Jun 200 Simple models of bouncing ball dynamics and their comparison Andrzej Okninski, Bogus law Radziszewski 2 Physics Division, Department of Mechatronics and Mechanical Engineering

More information

Small-scale instabilities in dynamical systems with sliding. Sieber, J and Kowalczyk, P. MIMS EPrint:

Small-scale instabilities in dynamical systems with sliding. Sieber, J and Kowalczyk, P. MIMS EPrint: Small-scale instabilities in dynamical systems with sliding Sieber, J and Kowalczyk, P 2010 MIMS EPrint: 2010.2 Manchester Institute for Mathematical Sciences School of Mathematics The University of Manchester

More information

B5.6 Nonlinear Systems

B5.6 Nonlinear Systems B5.6 Nonlinear Systems 5. Global Bifurcations, Homoclinic chaos, Melnikov s method Alain Goriely 2018 Mathematical Institute, University of Oxford Table of contents 1. Motivation 1.1 The problem 1.2 A

More information

Chaotic behavior analysis based on corner bifurcations

Chaotic behavior analysis based on corner bifurcations Author manuscript, published in "Nonlinear Analysis: Hybrid Systems 3 (29) 543-55" Chaotic behavior analysis based on corner bifurcations D. Benmerzouk a,, J.P. Barbot b, a University of Tlemcen,Department

More information

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD CHALMERS, GÖTEBORGS UNIVERSITET EXAM for DYNAMICAL SYSTEMS COURSE CODES: TIF 155, FIM770GU, PhD Time: Place: Teachers: Allowed material: Not allowed: August 22, 2018, at 08 30 12 30 Johanneberg Jan Meibohm,

More information

Modelling Research Group

Modelling Research Group Modelling Research Group The Importance of Noise in Dynamical Systems E. Staunton, P.T. Piiroinen November 20, 2015 Eoghan Staunton Modelling Research Group 2015 1 / 12 Introduction Historically mathematicians

More information

Stability analysis of sliding-grazing phenomenon in dry-friction oscillator using TS fuzzy approach

Stability analysis of sliding-grazing phenomenon in dry-friction oscillator using TS fuzzy approach Stability analysis of sliding-grazing phenomenon in dry-friction oscillator using TS fuzzy approach Kamyar Mehran School of Engineering University of Warwick Coventry, CV4 7LW, UK Email: k.mehran@warwick.ac.uk

More information

Attractors near grazing-sliding bifurcations. Glendinning, Paul and Kowalczyk, Piotr and Nordmark, Arne. MIMS EPrint:

Attractors near grazing-sliding bifurcations. Glendinning, Paul and Kowalczyk, Piotr and Nordmark, Arne. MIMS EPrint: Attractors near grazing-sliding bifurcations Glendinning, Paul and Kowalczyk, Piotr and Nordmark, Arne 11 MIMS EPrint: 11.63 Manchester Institute for Mathematical Sciences School of Mathematics The University

More information

ME8230 Nonlinear Dynamics

ME8230 Nonlinear Dynamics ME8230 Nonlinear Dynamics Lecture 1, part 1 Introduction, some basic math background, and some random examples Prof. Manoj Srinivasan Mechanical and Aerospace Engineering srinivasan.88@osu.edu Spring mass

More information

Stability of Direct Spring Operated Pressure Relief Valves from CFD to spreadsheet

Stability of Direct Spring Operated Pressure Relief Valves from CFD to spreadsheet Stability of Direct Spring Operated Pressure Relief Valves from CFD to spreadsheet 12th September 217 HDR ... with major contributions by Prof. Alan Champneys (University of Bristol, Dept. of Eng. Mathematics)

More information

THE GEOMETRY OF GENERIC SLIDING BIFURCATIONS

THE GEOMETRY OF GENERIC SLIDING BIFURCATIONS THE GEOMETRY OF GENERIC SLIDING BIFURCATIONS M. R. JEFFREY AND S. J. HOGAN Abstract. Using the singularity theory of scalar functions, we derive a classification of sliding bifurcations in piecewise-smooth

More information

B5.6 Nonlinear Systems

B5.6 Nonlinear Systems B5.6 Nonlinear Systems 4. Bifurcations Alain Goriely 2018 Mathematical Institute, University of Oxford Table of contents 1. Local bifurcations for vector fields 1.1 The problem 1.2 The extended centre

More information

ONE-PARAMETER BIFURCATIONS IN PLANAR FILIPPOV SYSTEMS

ONE-PARAMETER BIFURCATIONS IN PLANAR FILIPPOV SYSTEMS International Journal of Bifurcation and Chaos, Vol. 3, No. 8 (23) 257 288 c World Scientific Publishing Company ONE-PARAMETER BIFURCATIONS IN PLANAR FILIPPOV SYSTEMS YU. A. KUZNETSOV, S. RINALDI and A.

More information

Logistic Map, Euler & Runge-Kutta Method and Lotka-Volterra Equations

Logistic Map, Euler & Runge-Kutta Method and Lotka-Volterra Equations Logistic Map, Euler & Runge-Kutta Method and Lotka-Volterra Equations S. Y. Ha and J. Park Department of Mathematical Sciences Seoul National University Sep 23, 2013 Contents 1 Logistic Map 2 Euler and

More information

A Study of the Van der Pol Equation

A Study of the Van der Pol Equation A Study of the Van der Pol Equation Kai Zhe Tan, s1465711 September 16, 2016 Abstract The Van der Pol equation is famous for modelling biological systems as well as being a good model to study its multiple

More information

Chapter 23. Predicting Chaos The Shift Map and Symbolic Dynamics

Chapter 23. Predicting Chaos The Shift Map and Symbolic Dynamics Chapter 23 Predicting Chaos We have discussed methods for diagnosing chaos, but what about predicting the existence of chaos in a dynamical system. This is a much harder problem, and it seems that the

More information

7 Two-dimensional bifurcations

7 Two-dimensional bifurcations 7 Two-dimensional bifurcations As in one-dimensional systems: fixed points may be created, destroyed, or change stability as parameters are varied (change of topological equivalence ). In addition closed

More information

EE222 - Spring 16 - Lecture 2 Notes 1

EE222 - Spring 16 - Lecture 2 Notes 1 EE222 - Spring 16 - Lecture 2 Notes 1 Murat Arcak January 21 2016 1 Licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Essentially Nonlinear Phenomena Continued

More information

ON THE ROBUSTNESS OF PERIODIC SOLUTIONS IN RELAY FEEDBACK SYSTEMS. Mario di Bernardo Λ Karl Henrik Johansson ΛΛ;1 Ulf Jönsson ΛΛΛ Francesco Vasca Λ

ON THE ROBUSTNESS OF PERIODIC SOLUTIONS IN RELAY FEEDBACK SYSTEMS. Mario di Bernardo Λ Karl Henrik Johansson ΛΛ;1 Ulf Jönsson ΛΛΛ Francesco Vasca Λ Copyright IFAC 1th Triennial World Congress, Barcelona, Spain ON THE ROBUSTNESS OF PERIODIC SOLUTIONS IN RELAY FEEDBACK SYSTEMS Mario di Bernardo Λ Karl Henrik Johansson ΛΛ;1 Ulf Jönsson ΛΛΛ Francesco

More information

University of Bath DOI: / Publication date: Link to publication SIAM

University of Bath DOI: / Publication date: Link to publication SIAM Citation for published version: Jeffrey, MR & Hogan, SJ 2011, 'The geometry of generic sliding bifurcations' Siam Review, vol. 53, no. 3, pp. 505-525. https://doi.org/10.1137/090764608 DOI: 10.1137/090764608

More information

Dynamics of Non-Smooth Systems

Dynamics of Non-Smooth Systems Dynamics of Non-Smooth Systems P Chandramouli Indian Institute of Technology Madras October 5, 2013 Mouli, IIT Madras Non-Smooth System Dynamics 1/39 Introduction Filippov Systems Behaviour around hyper-surface

More information

One Dimensional Dynamical Systems

One Dimensional Dynamical Systems 16 CHAPTER 2 One Dimensional Dynamical Systems We begin by analyzing some dynamical systems with one-dimensional phase spaces, and in particular their bifurcations. All equations in this Chapter are scalar

More information

Mathematical Foundations of Neuroscience - Lecture 7. Bifurcations II.

Mathematical Foundations of Neuroscience - Lecture 7. Bifurcations II. Mathematical Foundations of Neuroscience - Lecture 7. Bifurcations II. Filip Piękniewski Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Toruń, Poland Winter 2009/2010 Filip

More information

Part II. Dynamical Systems. Year

Part II. Dynamical Systems. Year Part II Year 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2017 34 Paper 1, Section II 30A Consider the dynamical system where β > 1 is a constant. ẋ = x + x 3 + βxy 2, ẏ = y + βx 2

More information

Review: control, feedback, etc. Today s topic: state-space models of systems; linearization

Review: control, feedback, etc. Today s topic: state-space models of systems; linearization Plan of the Lecture Review: control, feedback, etc Today s topic: state-space models of systems; linearization Goal: a general framework that encompasses all examples of interest Once we have mastered

More information

Lecture 5. Numerical continuation of connecting orbits of iterated maps and ODEs. Yu.A. Kuznetsov (Utrecht University, NL)

Lecture 5. Numerical continuation of connecting orbits of iterated maps and ODEs. Yu.A. Kuznetsov (Utrecht University, NL) Lecture 5 Numerical continuation of connecting orbits of iterated maps and ODEs Yu.A. Kuznetsov (Utrecht University, NL) May 26, 2009 1 Contents 1. Point-to-point connections. 2. Continuation of homoclinic

More information

Lyapunov exponent calculation of a two-degreeof-freedom vibro-impact system with symmetrical rigid stops

Lyapunov exponent calculation of a two-degreeof-freedom vibro-impact system with symmetrical rigid stops Chin. Phys. B Vol. 20 No. 4 (2011) 040505 Lyapunov exponent calculation of a two-degreeof-freedom vibro-impact system with symmetrical rigid stops Li Qun-Hong( ) and Tan Jie-Yan( ) College of Mathematics

More information

1. < 0: the eigenvalues are real and have opposite signs; the fixed point is a saddle point

1. < 0: the eigenvalues are real and have opposite signs; the fixed point is a saddle point Solving a Linear System τ = trace(a) = a + d = λ 1 + λ 2 λ 1,2 = τ± = det(a) = ad bc = λ 1 λ 2 Classification of Fixed Points τ 2 4 1. < 0: the eigenvalues are real and have opposite signs; the fixed point

More information

Dynamical behaviour of a controlled vibro-impact system

Dynamical behaviour of a controlled vibro-impact system Vol 17 No 7, July 2008 c 2008 Chin. Phys. Soc. 1674-1056/2008/17(07)/2446-05 Chinese Physics B and IOP Publishing Ltd Dynamical behaviour of a controlled vibro-impact system Wang Liang( ), Xu Wei( ), and

More information

BIFURCATION PHENOMENA Lecture 1: Qualitative theory of planar ODEs

BIFURCATION PHENOMENA Lecture 1: Qualitative theory of planar ODEs BIFURCATION PHENOMENA Lecture 1: Qualitative theory of planar ODEs Yuri A. Kuznetsov August, 2010 Contents 1. Solutions and orbits. 2. Equilibria. 3. Periodic orbits and limit cycles. 4. Homoclinic orbits.

More information

2 Qualitative theory of non-smooth dynamical systems

2 Qualitative theory of non-smooth dynamical systems 2 Qualitative theory of non-smooth dynamical systems In this chapter, we give an overview of the basic theory of both smooth and non-smooth dynamical systems, to be expanded upon in later chapters. In

More information

Study of Chaos and Dynamics of DC-DC Converters BY SAI RAKSHIT VINNAKOTA ANUROOP KAKKIRALA VIVEK PRAYAKARAO

Study of Chaos and Dynamics of DC-DC Converters BY SAI RAKSHIT VINNAKOTA ANUROOP KAKKIRALA VIVEK PRAYAKARAO Study of Chaos and Dynamics of DC-DC Converters BY SAI RAKSHIT VINNAKOTA ANUROOP KAKKIRALA VIVEK PRAYAKARAO What are DC-DC Converters?? A DC-to-DC converter is an electronic circuit which converts a source

More information

Co-dimension-two Grazing Bifurcations in Single-degree-of-freedom Impact Oscillators

Co-dimension-two Grazing Bifurcations in Single-degree-of-freedom Impact Oscillators Co-dimension-two razing Bifurcations in Single-degree-of-freedom Impact Oscillators Phanikrishna Thota a Xiaopeng Zhao b and Harry Dankowicz c a Department of Engineering Science and Mechanics MC 219 Virginia

More information

Analysis of the Takens-Bogdanov bifurcation on m parameterized vector fields

Analysis of the Takens-Bogdanov bifurcation on m parameterized vector fields Analysis of the Takens-Bogdanov bifurcation on m parameterized vector fields Francisco Armando Carrillo Navarro, Fernando Verduzco G., Joaquín Delgado F. Programa de Doctorado en Ciencias (Matemáticas),

More information

DETC2001/VIB NONLINEAR DYNAMICS OF THE WOODPECKER TOY

DETC2001/VIB NONLINEAR DYNAMICS OF THE WOODPECKER TOY Proceedings of DETC' ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference Pittsburgh, PA, September 9-, DETC/VIB-68 DETC/VIB-68 NONLINEAR DYNAMICS OF THE

More information

The SD oscillator and its attractors

The SD oscillator and its attractors The SD oscillator and its attractors Qingjie Cao, Marian Wiercigroch, Ekaterina Pavlovskaia Celso Grebogi and J Michael T Thompson Centre for Applied Dynamics Research, Department of Engineering, University

More information

NBA Lecture 1. Simplest bifurcations in n-dimensional ODEs. Yu.A. Kuznetsov (Utrecht University, NL) March 14, 2011

NBA Lecture 1. Simplest bifurcations in n-dimensional ODEs. Yu.A. Kuznetsov (Utrecht University, NL) March 14, 2011 NBA Lecture 1 Simplest bifurcations in n-dimensional ODEs Yu.A. Kuznetsov (Utrecht University, NL) March 14, 2011 Contents 1. Solutions and orbits: equilibria cycles connecting orbits other invariant sets

More information

2 Discrete growth models, logistic map (Murray, Chapter 2)

2 Discrete growth models, logistic map (Murray, Chapter 2) 2 Discrete growth models, logistic map (Murray, Chapter 2) As argued in Lecture 1 the population of non-overlapping generations can be modelled as a discrete dynamical system. This is an example of an

More information

The Stick-Slip Vibration and Bifurcation of a Vibro-Impact System with Dry Friction

The Stick-Slip Vibration and Bifurcation of a Vibro-Impact System with Dry Friction Send Orders for Reprints to reprints@benthamscience.ae 308 The Open Mechanical Engineering Journal, 2014, 8, 308-313 Open Access The Stick-Slip Vibration and Bifurcation of a Vibro-Impact System with Dry

More information

8 Example 1: The van der Pol oscillator (Strogatz Chapter 7)

8 Example 1: The van der Pol oscillator (Strogatz Chapter 7) 8 Example 1: The van der Pol oscillator (Strogatz Chapter 7) So far we have seen some different possibilities of what can happen in two-dimensional systems (local and global attractors and bifurcations)

More information

Solution to Homework #4 Roy Malka

Solution to Homework #4 Roy Malka 1. Show that the map: Solution to Homework #4 Roy Malka F µ : x n+1 = x n + µ x 2 n x n R (1) undergoes a saddle-node bifurcation at (x, µ) = (0, 0); show that for µ < 0 it has no fixed points whereas

More information

TIME DELAY AND FEEDBACK CONTROL OF AN INVERTED PENDULUM WITH STICK SLIP FRICTION

TIME DELAY AND FEEDBACK CONTROL OF AN INVERTED PENDULUM WITH STICK SLIP FRICTION Proceedings of ASME 27 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference IDETC/CIE 27 September 4-7, 27, Las Vegas, Nevada, USA DETC27-3494 TIME

More information

Lotka Volterra Predator-Prey Model with a Predating Scavenger

Lotka Volterra Predator-Prey Model with a Predating Scavenger Lotka Volterra Predator-Prey Model with a Predating Scavenger Monica Pescitelli Georgia College December 13, 2013 Abstract The classic Lotka Volterra equations are used to model the population dynamics

More information

Degree Master of Science in Mathematical Modelling and Scientific Computing Mathematical Methods I Thursday, 12th January 2012, 9:30 a.m.- 11:30 a.m.

Degree Master of Science in Mathematical Modelling and Scientific Computing Mathematical Methods I Thursday, 12th January 2012, 9:30 a.m.- 11:30 a.m. Degree Master of Science in Mathematical Modelling and Scientific Computing Mathematical Methods I Thursday, 12th January 2012, 9:30 a.m.- 11:30 a.m. Candidates should submit answers to a maximum of four

More information

Examination paper for TMA4195 Mathematical Modeling

Examination paper for TMA4195 Mathematical Modeling Department of Mathematical Sciences Examination paper for TMA4195 Mathematical Modeling Academic contact during examination: Elena Celledoni Phone: 48238584, 73593541 Examination date: 11th of December

More information

Linearization problem. The simplest example

Linearization problem. The simplest example Linear Systems Lecture 3 1 problem Consider a non-linear time-invariant system of the form ( ẋ(t f x(t u(t y(t g ( x(t u(t (1 such that x R n u R m y R p and Slide 1 A: f(xu f(xu g(xu and g(xu exist and

More information

Dynamical Systems and Chaos Part I: Theoretical Techniques. Lecture 4: Discrete systems + Chaos. Ilya Potapov Mathematics Department, TUT Room TD325

Dynamical Systems and Chaos Part I: Theoretical Techniques. Lecture 4: Discrete systems + Chaos. Ilya Potapov Mathematics Department, TUT Room TD325 Dynamical Systems and Chaos Part I: Theoretical Techniques Lecture 4: Discrete systems + Chaos Ilya Potapov Mathematics Department, TUT Room TD325 Discrete maps x n+1 = f(x n ) Discrete time steps. x 0

More information

CANARDS AND HORSESHOES IN THE FORCED VAN DER POL EQUATION

CANARDS AND HORSESHOES IN THE FORCED VAN DER POL EQUATION CANARDS AND HORSESHOES IN THE FORCED VAN DER POL EQUATION WARREN WECKESSER Department of Mathematics Colgate University Hamilton, NY 3346 E-mail: wweckesser@mail.colgate.edu Cartwright and Littlewood discovered

More information

TWO DIMENSIONAL FLOWS. Lecture 5: Limit Cycles and Bifurcations

TWO DIMENSIONAL FLOWS. Lecture 5: Limit Cycles and Bifurcations TWO DIMENSIONAL FLOWS Lecture 5: Limit Cycles and Bifurcations 5. Limit cycles A limit cycle is an isolated closed trajectory [ isolated means that neighbouring trajectories are not closed] Fig. 5.1.1

More information

Entrance Exam, Differential Equations April, (Solve exactly 6 out of the 8 problems) y + 2y + y cos(x 2 y) = 0, y(0) = 2, y (0) = 4.

Entrance Exam, Differential Equations April, (Solve exactly 6 out of the 8 problems) y + 2y + y cos(x 2 y) = 0, y(0) = 2, y (0) = 4. Entrance Exam, Differential Equations April, 7 (Solve exactly 6 out of the 8 problems). Consider the following initial value problem: { y + y + y cos(x y) =, y() = y. Find all the values y such that the

More information

Problem Set Number 2, j/2.036j MIT (Fall 2014)

Problem Set Number 2, j/2.036j MIT (Fall 2014) Problem Set Number 2, 18.385j/2.036j MIT (Fall 2014) Rodolfo R. Rosales (MIT, Math. Dept.,Cambridge, MA 02139) Due Mon., September 29, 2014. 1 Inverse function problem #01. Statement: Inverse function

More information

Is the Hénon map chaotic

Is the Hénon map chaotic Is the Hénon map chaotic Zbigniew Galias Department of Electrical Engineering AGH University of Science and Technology, Poland, galias@agh.edu.pl International Workshop on Complex Networks and Applications

More information

Lorenz like flows. Maria José Pacifico. IM-UFRJ Rio de Janeiro - Brasil. Lorenz like flows p. 1

Lorenz like flows. Maria José Pacifico. IM-UFRJ Rio de Janeiro - Brasil. Lorenz like flows p. 1 Lorenz like flows Maria José Pacifico pacifico@im.ufrj.br IM-UFRJ Rio de Janeiro - Brasil Lorenz like flows p. 1 Main goals The main goal is to explain the results (Galatolo-P) Theorem A. (decay of correlation

More information

Sieber, J., Kowalczyk, P. S., Hogan, S. J., & di Bernardo, M. (2007). Dynamics of symmetric dynamical systems with delayed switching.

Sieber, J., Kowalczyk, P. S., Hogan, S. J., & di Bernardo, M. (2007). Dynamics of symmetric dynamical systems with delayed switching. Sieber, J., Kowalczyk, P. S., Hogan, S. J., & di Bernardo, M. (2007). Dynamics of symmetric dynamical systems with delayed switching. Early version, also known as pre-print Link to publication record in

More information

Why are Discrete Maps Sufficient?

Why are Discrete Maps Sufficient? Why are Discrete Maps Sufficient? Why do dynamical systems specialists study maps of the form x n+ 1 = f ( xn), (time is discrete) when much of the world around us evolves continuously, and is thus well

More information

On the Stability of the Best Reply Map for Noncooperative Differential Games

On the Stability of the Best Reply Map for Noncooperative Differential Games On the Stability of the Best Reply Map for Noncooperative Differential Games Alberto Bressan and Zipeng Wang Department of Mathematics, Penn State University, University Park, PA, 68, USA DPMMS, University

More information

11 Chaos in Continuous Dynamical Systems.

11 Chaos in Continuous Dynamical Systems. 11 CHAOS IN CONTINUOUS DYNAMICAL SYSTEMS. 47 11 Chaos in Continuous Dynamical Systems. Let s consider a system of differential equations given by where x(t) : R R and f : R R. ẋ = f(x), The linearization

More information

BIFURCATION PHENOMENA Lecture 4: Bifurcations in n-dimensional ODEs

BIFURCATION PHENOMENA Lecture 4: Bifurcations in n-dimensional ODEs BIFURCATION PHENOMENA Lecture 4: Bifurcations in n-dimensional ODEs Yuri A. Kuznetsov August, 2010 Contents 1. Solutions and orbits: equilibria cycles connecting orbits compact invariant manifolds strange

More information

Communications in Nonlinear Science and Numerical Simulation

Communications in Nonlinear Science and Numerical Simulation Accepted Manuscript Periodic motions generated from non-autonomous grazing dynamics M.U. Akhmet, A. Kıvılcım PII: S17-574(17)342-4 DOI: 1.116/j.cnsns.217.2.2 Reference: CNSNS 419 To appear in: Communications

More information

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD CHALMERS, GÖTEBORGS UNIVERSITET EXAM for DYNAMICAL SYSTEMS COURSE CODES: TIF 155, FIM770GU, PhD Time: Place: Teachers: Allowed material: Not allowed: January 14, 2019, at 08 30 12 30 Johanneberg Kristian

More information

Commun Nonlinear Sci Numer Simulat

Commun Nonlinear Sci Numer Simulat Commun Nonlinear Sci Numer Simulat 15 (21) 1358 1367 Contents lists available at ScienceDirect Commun Nonlinear Sci Numer Simulat journal homepage: www.elsevier.com/locate/cnsns Hard versus soft impacts

More information

Models Involving Interactions between Predator and Prey Populations

Models Involving Interactions between Predator and Prey Populations Models Involving Interactions between Predator and Prey Populations Matthew Mitchell Georgia College and State University December 30, 2015 Abstract Predator-prey models are used to show the intricate

More information

arxiv:nlin/ v1 [nlin.cd] 6 Aug 2004

arxiv:nlin/ v1 [nlin.cd] 6 Aug 2004 Complex dynamics in a one block model for earthquakes arxiv:nlin/0408016v1 [nlin.cd] 6 Aug 2004 Abstract Raúl Montagne and G. L. Vasconcelos Laboratório de Física Teórica e Computacional, Departamento

More information

Unit Ten Summary Introduction to Dynamical Systems and Chaos

Unit Ten Summary Introduction to Dynamical Systems and Chaos Unit Ten Summary Introduction to Dynamical Systems Dynamical Systems A dynamical system is a system that evolves in time according to a well-defined, unchanging rule. The study of dynamical systems is

More information

Corner bifurcations in non-smoothly forced impact oscillators

Corner bifurcations in non-smoothly forced impact oscillators Physica D 0 006) 17 145 www.elsevier.com/locate/physd Corner bifurcations in non-smoothly forced impact oscillators Chris J. Budd a, Petri T. Piiroinen b, a Department of Mathematical Sciences, University

More information

Reduction to invariant cones for non-smooth systems

Reduction to invariant cones for non-smooth systems Available online at www.sciencedirect.com Mathematics and Computers in Simulation 8 () 98 995 Reduction to invariant cones for non-smooth systems T. Küpper, H.A. Hosham Mathematisches Institut, Universität

More information

8.385 MIT (Rosales) Hopf Bifurcations. 2 Contents Hopf bifurcation for second order scalar equations. 3. Reduction of general phase plane case to seco

8.385 MIT (Rosales) Hopf Bifurcations. 2 Contents Hopf bifurcation for second order scalar equations. 3. Reduction of general phase plane case to seco 8.385 MIT Hopf Bifurcations. Rodolfo R. Rosales Department of Mathematics Massachusetts Institute of Technology Cambridge, Massachusetts MA 239 September 25, 999 Abstract In two dimensions a Hopf bifurcation

More information

Bifurcations and Chaos in a Pulse Width Modulation Controlled Buck Converter

Bifurcations and Chaos in a Pulse Width Modulation Controlled Buck Converter Bifurcations and Chaos in a Pulse Width Modulation Controlled Buck Converter Łukasz Kocewiak, Claus Leth Bak, Stig Munk-Nielsen Institute of Energy Technology, Aalborg University, Pontoppidanstræde 101,

More information

On rigorous integration of piece-wise linear systems

On rigorous integration of piece-wise linear systems On rigorous integration of piece-wise linear systems Zbigniew Galias Department of Electrical Engineering AGH University of Science and Technology 06.2011, Trieste, Italy On rigorous integration of PWL

More information

Nonlinear dynamics & chaos BECS

Nonlinear dynamics & chaos BECS Nonlinear dynamics & chaos BECS-114.7151 Phase portraits Focus: nonlinear systems in two dimensions General form of a vector field on the phase plane: Vector notation: Phase portraits Solution x(t) describes

More information

Solutions to Math 53 Math 53 Practice Final

Solutions to Math 53 Math 53 Practice Final Solutions to Math 5 Math 5 Practice Final 20 points Consider the initial value problem y t 4yt = te t with y 0 = and y0 = 0 a 8 points Find the Laplace transform of the solution of this IVP b 8 points

More information

One dimensional Maps

One dimensional Maps Chapter 4 One dimensional Maps The ordinary differential equation studied in chapters 1-3 provide a close link to actual physical systems it is easy to believe these equations provide at least an approximate

More information

Nonlinear Dynamics and Chaos

Nonlinear Dynamics and Chaos Ian Eisenman eisenman@fas.harvard.edu Geological Museum 101, 6-6352 Nonlinear Dynamics and Chaos Review of some of the topics covered in homework problems, based on section notes. December, 2005 Contents

More information

Problem Set Number 5, j/2.036j MIT (Fall 2014)

Problem Set Number 5, j/2.036j MIT (Fall 2014) Problem Set Number 5, 18.385j/2.036j MIT (Fall 2014) Rodolfo R. Rosales (MIT, Math. Dept.,Cambridge, MA 02139) Due Fri., October 24, 2014. October 17, 2014 1 Large µ limit for Liénard system #03 Statement:

More information

Complex Behavior in Switching Power Converters

Complex Behavior in Switching Power Converters Complex Behavior in Switching Power Converters CHI K. TSE, SENIOR MEMBER, IEEE, AND MARIO DI BERNARDO, MEMBER, IEEE Invited Paper Power electronics circuits are rich in nonlinear dynamics. Their operation

More information

Applied Dynamical Systems

Applied Dynamical Systems Applied Dynamical Systems Recommended Reading: (1) Morris W. Hirsch, Stephen Smale, and Robert L. Devaney. Differential equations, dynamical systems, and an introduction to chaos. Elsevier/Academic Press,

More information

1. (i) Determine how many periodic orbits and equilibria can be born at the bifurcations of the zero equilibrium of the following system:

1. (i) Determine how many periodic orbits and equilibria can be born at the bifurcations of the zero equilibrium of the following system: 1. (i) Determine how many periodic orbits and equilibria can be born at the bifurcations of the zero equilibrium of the following system: ẋ = y x 2, ẏ = z + xy, ż = y z + x 2 xy + y 2 + z 2 x 4. (ii) Determine

More information

Smoothing non-smooth systems with the moving average transformation. James, Hook and Broomhead, Dave. MIMS EPrint:

Smoothing non-smooth systems with the moving average transformation. James, Hook and Broomhead, Dave. MIMS EPrint: Smoothing non-smooth systems with the moving average transformation James, Hook and Broomhead, Dave 2011 MIMS EPrint: 2011.58 Manchester Institute for Mathematical Sciences School of Mathematics The University

More information

System Control Engineering 0

System Control Engineering 0 System Control Engineering 0 Koichi Hashimoto Graduate School of Information Sciences Text: Nonlinear Control Systems Analysis and Design, Wiley Author: Horacio J. Marquez Web: http://www.ic.is.tohoku.ac.jp/~koichi/system_control/

More information

Controlling Chaos in a State-Dependent Nonlinear System

Controlling Chaos in a State-Dependent Nonlinear System Electronic version of an article published as International Journal of Bifurcation and Chaos Vol. 12, No. 5, 2002, 1111-1119, DOI: 10.1142/S0218127402004942 World Scientific Publishing Company, https://www.worldscientific.com/worldscinet/ijbc

More information

Half of Final Exam Name: Practice Problems October 28, 2014

Half of Final Exam Name: Practice Problems October 28, 2014 Math 54. Treibergs Half of Final Exam Name: Practice Problems October 28, 24 Half of the final will be over material since the last midterm exam, such as the practice problems given here. The other half

More information

Study of a Piecewise Linear Dynamic System with Negative and Positive Stiffness

Study of a Piecewise Linear Dynamic System with Negative and Positive Stiffness Study of a Piecewise Linear Dynamic System with Negative and Positive Stiffness Keguan Zou a, Satish Nagarajaiah a,b, a Department of Civil and Environmental Engineering, Rice University, Houston, Texas

More information

Nonlinear Control Lecture # 1 Introduction. Nonlinear Control

Nonlinear Control Lecture # 1 Introduction. Nonlinear Control Nonlinear Control Lecture # 1 Introduction Nonlinear State Model ẋ 1 = f 1 (t,x 1,...,x n,u 1,...,u m ) ẋ 2 = f 2 (t,x 1,...,x n,u 1,...,u m ).. ẋ n = f n (t,x 1,...,x n,u 1,...,u m ) ẋ i denotes the derivative

More information

On low speed travelling waves of the Kuramoto-Sivashinsky equation.

On low speed travelling waves of the Kuramoto-Sivashinsky equation. On low speed travelling waves of the Kuramoto-Sivashinsky equation. Jeroen S.W. Lamb Joint with Jürgen Knobloch (Ilmenau, Germany) Marco-Antonio Teixeira (Campinas, Brazil) Kevin Webster (Imperial College

More information

CALCULATION OF NONLINEAR VIBRATIONS OF PIECEWISE-LINEAR SYSTEMS USING THE SHOOTING METHOD

CALCULATION OF NONLINEAR VIBRATIONS OF PIECEWISE-LINEAR SYSTEMS USING THE SHOOTING METHOD Vietnam Journal of Mechanics, VAST, Vol. 34, No. 3 (2012), pp. 157 167 CALCULATION OF NONLINEAR VIBRATIONS OF PIECEWISE-LINEAR SYSTEMS USING THE SHOOTING METHOD Nguyen Van Khang, Hoang Manh Cuong, Nguyen

More information

Dynamical systems tutorial. Gregor Schöner, INI, RUB

Dynamical systems tutorial. Gregor Schöner, INI, RUB Dynamical systems tutorial Gregor Schöner, INI, RUB Dynamical systems: Tutorial the word dynamics time-varying measures range of a quantity forces causing/accounting for movement => dynamical systems dynamical

More information

Chapter #4 EEE8086-EEE8115. Robust and Adaptive Control Systems

Chapter #4 EEE8086-EEE8115. Robust and Adaptive Control Systems Chapter #4 Robust and Adaptive Control Systems Nonlinear Dynamics.... Linear Combination.... Equilibrium points... 3 3. Linearisation... 5 4. Limit cycles... 3 5. Bifurcations... 4 6. Stability... 6 7.

More information

Basic Theory of Dynamical Systems

Basic Theory of Dynamical Systems 1 Basic Theory of Dynamical Systems Page 1 1.1 Introduction and Basic Examples Dynamical systems is concerned with both quantitative and qualitative properties of evolution equations, which are often ordinary

More information

27. Topological classification of complex linear foliations

27. Topological classification of complex linear foliations 27. Topological classification of complex linear foliations 545 H. Find the expression of the corresponding element [Γ ε ] H 1 (L ε, Z) through [Γ 1 ε], [Γ 2 ε], [δ ε ]. Problem 26.24. Prove that for any

More information

Time scales. Notes. Mixed Implicit/Explicit. Newmark Methods [ ] [ ] "!t = O 1 %

Time scales. Notes. Mixed Implicit/Explicit. Newmark Methods [ ] [ ] !t = O 1 % Notes Time scales! For using Pixie (the renderer) make sure you type use pixie first! Assignment 1 questions?! [work out]! For position dependence, characteristic time interval is "!t = O 1 % $ ' # K &!

More information

A plane autonomous system is a pair of simultaneous first-order differential equations,

A plane autonomous system is a pair of simultaneous first-order differential equations, Chapter 11 Phase-Plane Techniques 11.1 Plane Autonomous Systems A plane autonomous system is a pair of simultaneous first-order differential equations, ẋ = f(x, y), ẏ = g(x, y). This system has an equilibrium

More information

The Two-Fold Singularity of Discontinuous Vector Fields

The Two-Fold Singularity of Discontinuous Vector Fields SIAM J. APPLIED DYNAMICAL SYSTEMS Vol. 8, No. 2, pp. 624 640 c 2009 Society for Industrial and Applied Mathematics The Two-Fold Singularity of Discontinuous Vector Fields M. R. Jeffrey and A. Colombo Abstract.

More information