HOPF BIFURCATION CALCULATIONS IN DELAYED SYSTEMS


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1 PERIODICA POLYTECHNICA SER. MECH. ENG. VOL. 48, NO. 2, PP HOPF BIFURCATION CALCULATIONS IN DELAYED SYSTEMS Gábor OROSZ Bristol Centre for Applied Nonlinear Mathematics Department of Engineering Mathematics, University of Bristol Queen s Building, University Walk, Bristol BS8 TR, United Kingdom Received: March 6, 2004 Dedicated to Professor Gábor Stépán on the occasion of his fiftieth birthday Abstract A formal framework for the analysis of Hopf bifurcations in delay differential equations with a single time delay is presented. Closedform linear algebraic equations are determined and the criticality of bifurcations is calculated by normal forms. Keywords: delaydifferential equation, Hopf bifurcation.. Introduction The aim of this paper is to outline a formal framework for the analytical bifurcation analysis of Hopf bifurcations in delay differential equations with a single fixed time delay. We give a general formalization of these calculations and determine closedform algebraic equations where the stability and amplitude of periodic solutions close to bifurcation can be calculated. The given algorithm may be implemented in symbolic algebra packages such as Maple or Mathematica. The bifurcation theory of ordinary differential equations ODEs can be generalized to delaydifferential equations DDEs through the investigation of retarded functional differential equations RFDEs; see ALE H & VERDUYN L UNEL [ 7 ] for details. A review of bifurcations in DDE systems is available in the book IEK of D MANN et al. [ 2 ]. Furthermore, the theorem of normal form calculations has been recently published by H ALE et al. 6 []. The first closedform Hopf bifurcation calculation was executed by ASSARD H et al. [8 ] in the case of a simple scalar first order DDE, while Stépán presented such calculations first [ 4, 5] for vector DDEs. The result of the Hopf bifurcation algorithm is a first Fourier approximation of stable or unstable periodic solutions which can be derived analytically as a function of the bifurcation parameters. However, it is acceptable only for bifurcation parameters close enough to the critical point, since a third degree Taylor series expansion of the nonlinearity is used in the DDE. These calculations are very complicated, particularly in systems where the centremanifold reduction is required. However, in some simple cases it is possible to use computer algebra packages; e.g., see CAMPBELL &BÉLAIR [].
2 90 G. OROSZ The analytical estimate is useful in many applications, especially when the periodic solutions are unstable. Analytical studies of Hopf bifurcations in delayed systems are carried out, for example, on machine tool vibrations by KALMÁRNAGY et al. [9] and on voltage oscillations of neuron systems by SHAYER &CAMPBELL [2]. We note that ENGELBORGHS et al. have recently constructed a Matlab package called DDEBIFTOOL [3, 4], which can follow branches of stable and unstable periodic solutions against a chosen bifurcation parameter. This seminumerical method uses the exact form of the nonlinearities, hence it provides reliable results even when bifurcation parameter is far away from its critical value at the bifurcation point. This has been applied for extensive investigation of semiconductor laser systems; see GREEN et al. [5]. 2. Retarded Functional Differential Equations In dynamical systems with memory the rate of change of the present state depends on the past state of the system. Time development of these systems can be described by the retarded functional differential equation ẋt = Gx t ; µ, where dot refers to the derivative with respect to the time t, the state variable is x : R R n, while the function x t : R X R n is defined by the shift x t ϑ = xt + ϑ, ϑ [ r, 0]. Here the length of the delay r R + is assumed to be finite. The nonlinear functional G : X R n R R n acts on the function space X R n of R R n functions. For the sake of simplicity, we consider a scalar bifurcation parameter, that is, µ R, and assume that G is a nearzero functional in x t for any µ: G0;µ = 0. 2 Thus RFDE possesses the trivial solution xt 0, 3 which exists for all the values of the bifurcation parameter µ. Since the function space X R n is infinitedimensional, the dimension of the phase space of RFDE also becomes infinite. For example, one may use a particular form for the functional G and obtain the equation 0 ẋt = g dγϑρ ϑ xt + ϑ ; µ, 4 r where g,ρ ϑ : R n R R n, g0;µ = 0, and the n n matrixγ:[ r, 0] R n n is a function of the variation ϑ.
3 HOPF BIFURCATION CALCULATIONS 9 The measure can be concentrated on some particular values such that dγϑ= I δϑ+ m i= δϑ +τ i dϑ, 5 where τ i 0, r], i =,...,m, m N, and the nondelayed term is formally separated from the delayed terms. Here and henceforward the n n identity matrix is indicated by I. Substituting measure 5 into example 4 results in that is, ẋt = g ρ 0 xt, m i= ρ τi xt τi ; µ, 6 ẋt = f xt, xt τ,...,xt τ m ; µ, 7 where f : R n... R n R R n and f 0, 0,...,0; µ = 0, which is the general form of DDEs with m discrete time delays. For m = we have the form which we focus on in Section 4. ẋt = f xt, xt τ; µ, 8 3. Stability and Bifurcations According to the Riesz Representation Theorem, the linearisation of functional G with respect to x t is defined by a Stieltjes integral, that is the variational system of RFDE is given as ẋt = 0 r d ϑ ηϑ; µxt + ϑ. 9 Note that it can also be obtained from the example 4 by considering ϑx = ρx and taking the linear part of the function g. Similarly to the case of linear ODEs, one may substitute the trial solution xt= ke λ t into Eq. 9 with a constant vector k C n and characteristic exponent λ C. It results in the characteristic equation 0 Dλ; µ = det λi d ϑ ηϑ;µe λϑ = 0, 0 r which has infinitely many solutions for the characteristic exponent λ. The trivial solution 3 of the nonlinear RFDE is asymptotically stable that is, stable in the Lyapunov sense, too for the bifurcation parameter µ if all the infinitely many characteristic exponents are situated on the lefthand side of the
4 92 G. OROSZ imaginary axis. Hopf bifurcation takes place at the critical parameter value µ cr if there exists a complex conjugate pair of pure imaginary characteristic exponents: λ, 2 µ cr =±iω. In the parameter space of the RFDE, the corresponding stability boundaries are described by the socalled Dcurves Rω = Re Diω; µ cr = 0, Sω = Im D iω; µ cr = 0, 2 that are parameterised by the frequency ω R + referring to the imaginary part of the critical characteristic exponents. Since Eq. 0 has infinitely many solutions for λ, aninfinitedimensional version of the RouthHurwitz criterion is needed to decide on which side of the Dcurves the steady state is stable or unstable. These kind of criteria can be determined by calculating complex integrals around the characteristic exponents; see [ 0,, 5] for detailed calculations. We note, when not only one but two pairs of pure imaginary characteristic exponents with two different frequencies coexist at µ cr then a codimensiontwo double Hopf bifurcation occurs as demonstrated by TÉPÁN S & HALLER [ 6] for robot dynamics and by GREEN et al. [5] in laser systems. In the case, when a zero exponent and a pair of pure imaginary exponents coexist at µ cr then a fold bifurcation occurs together with a Hopf bifurcation as investigated by SIEBER & KRAUSKOPF [3] in the case of a controlled inverted pendulum. There is another condition for the existence of a Hopf bifurcation: the critical characteristic exponents λ,2 have to cross the imaginary axis with a nonzero speed due to the variation of the bifurcation parameter µ: dλ,2 µ cr Re = Re Dλ; µ cr Dλ; µcr = 0, 3 dµ µ λ where the first equality can be verified by implicit differentiation of the characteristic function 0. The above conditions and 3 can be checked using the variational system 9. Contrarily, the super or subcritical nature of the Hopf bifurcation, i.e., the stability and estimated amplitudes of the periodic solutions arising about the stable or unstable trivial solution 3 can be determined only by the investigation of the third degree power series of the original nonlinear RFDE. In the subsequent section, the type of the Hopf bifurcation is determined. The algorithm will be presented for 8, i.e., the case of a single discrete time delay. 4. Hopf Bifurcation in Case of one Discrete Delay The analysis presente d in th is s ect ion is bas ed on the exa mples in [ 4, 5 ]. Howeve we carry out the calculations for an arbitrary number of DDEs in a more general case. Furthermore, the overview below gives general forms for the linear algebraic equations resulting from the operator formalism.
5 HOPF BIFURCATION CALCULATIONS 93 + Let us consider the nonlinear system 8 with one discrete delay τ in R the form ẋt = xt + Pxt τ+ Φxt, xt τ, 4 where, P R n n are constant matrices and Φ : R n R n R n is an analytic function with the nearzero feature Φ0, 0 = 0. Since we assume that τ > 0, we may introduce the dimensionless time t = t/τ. Note that the characteristic exponents and the associated frequencies are also transformed as λ=τλ and ω=τω, respectively. To simplify notation, we remove tildes, so the rescaled form of equation 4 becomes ẋt=τ xt+τ P xt +τφxt, xt. 5 Hereafter, we consider the time delay τ as the bifurcation parameter µ. This is a natural choice in applications where the mathematical models are extended by modelling delay effects. The calculations below can still be carried out in the same way if different bifurcation parameters are chosen. The characteristic equation of 5 assumes the form Dλ;τ= detλ I τ τ Pe λ = 0. 6 We suppose, that the necessary conditions and 3 are also fulfilled, that is, there exists a critical time delay τ cr such that dλ,2 τ cr λ,2 τ cr =±iω, Re = 0, 7 dτ while all the other characteristic exponents λ k, k = 3, 4,... are situated on the lefthand side of the imaginary axis when the time delay is finite a neighbourhood of its critical value. 4.. Operator Differential Equation The dimensionless delaydifferential equation 5 can be rewritten in the form of an operatordifferenti al equation OpDE. In the case τ=τ cr we obtain ẋ t = Ax t + Fx t, 8 where the linear and nonlinear operators A, F : X R n X R n are defined as { φ ϑ if ϑ<0 Aφϑ = Lφ0 + Rφ if ϑ = 0, { 0 if ϑ<0 Fφϑ = Fφ0, φ if ϑ = 0, 9 20
6 94 G. OROSZ respectively. Here, dot still refers to differentiation with respect to the time t, while prime stands for differentiation with respect to ϑ. The n n matrices L, R, and the nearzero nonlinear function F are given as L = τ cr, R = τ cr P, and F = τ cr Φ. 2 Note that the consideration of first rows of the operators A, F, 20 9 on domains of X R n which are restricted by their second rows, gives the same mathematical description as shown in [ 2]. It is possible to prove that the operator A has the same characteristic roots as the linear part of the delaydifferential equation 5 cr at because τ Ke rλ I A ={0} Dλ; τ cr = detλ I L λ Re= 0, 22 and the corresponding two critical characteristic exponents 7 are also the same: λ, 2 τ cr =±iω. 23 Although the OpDE 8 can be de fined for any value of the bifurcation parameter τ, the calculations are presented for the critical value τ cr only, since the subsequent Hopf bifurcation calculations use the system parameters at the critical point CentreManifold Reduction We present the algorithm of Hopf bifurcation calculation for the general OpDE 8. In order to do this, let us determine the real eigenvectors s, 2 X R n of the linear operator A associated with the critical eigenvalue λ = iω. These eigenvectors satisfy A s = ω s 2, A 2 s=ω s. 24 Substituting the definition 9, these equations form the 2ndimensional coupled linear first order boundary value problem [ ] [ ][ ] s ϑ 0 I s ϑ s 2 ϑ = ω, I 0 s 2 ϑ Its solution is [ L ωi ωi L ][ s 0 s 2 0 ] + [ R 0 0 R ][ ] s = s 2 [ 0 0]. 25 [ ] [ ] [ ] s ϑ S S2 = cosωϑ + sinωϑ, 26 s 2 ϑ S 2 S with constant vectors S,2 R n having two freely eligible scalar variables while satisfying the linear homogeneous equations [ ][ ] [ L + R cos ω ωi + R sin ω S 0 =. 27 ωi + R sin ω L + R cos ω S 2 0]
7 HOPF BIFURCATION CALCULATIONS 95 In order to project the system to the plane spanned s and by s 2, and to its complementary space, we also need to determine the adjoint of the operator A see [ 7 ] for details: { ψ A σ if 0 <σ ψσ = L ψ0+ R 28 ψ if σ= 0, where denotes either adjoint operator or transposed conjugate matrix. The real eigenvectors n,2 of A associated with λ = iωare determined by It results in the boundary value problem [ ] n σ n 2 σ = ω A n =ω n 2, A n 2 = ω n. 29 [ 0 I I 0 ][ n σ n 2 σ ], [ ][ ] [ ][ ] [ L ωi n 0 R 0 n 0 ωi L + n R =, 30 n 2 0] when one uses definition 28. It has the solution [ ] [ ] [ ] n σ N N2 = cosωσ + sinωσ, 3 n 2 σ N 2 N with constant vectors N,2 R n having two freely eligible scalar variables while satisfying [ L + R cos ω ωi + R sin ω ][ ] [ N 0 ωi + R sin ω L + R =. 32 cos ω N 2 0] We d fine e here the inner product see [ 7 ] ψ, φ =ψ 0φ0 + 0 which is used to calculate the orthonormality conditions ψ ξ+ Rφξdξ, 33 n, s =, n, s 2 =0. 34 These determine two of the four freely eligible scalar values in vectors S, 2, N, 2. The application of 33 results in two linear nonhomogeneous equations, which are arranged for the two free parameters in N,2 : S 2I + R cos ω + sin ω ω + S2 R sin ω S R sin ω + S2 R cos ω sin ω ω 2 2I + R cos ω + sin ω S R cos ω sin ω S2 R sin ω S R sin ω + S 2 ω [ ] N = N 2 [ 0]. 35 ω
8 96 G. OROSZ Note that there are still two free scalar parameters. For example, one may take as the first component of S and 0 as the first component of S 2 ; see [ ]. With the help of the right and left eigenvectors s, 2 and n, 2 of operator A,we are able to introduce the new state variables z = n, x t, z 2 = n 2, x t, w = x t z s z 2 s 2, 36 where z, 2 : R R and w: R X R n. Using the eigenvectors 26, 3 satisfying 24, 29 and the inner product finition de 33, the OpDE 8 can be rewritten with the new variables 36: ż = n, ẋ t = n, Ax t + Fx t = A n, x t + n, Fx t = ω n 2, x t +n 0Fx t0 = ωz 2 + N Fx t0, ż 2 = ωz + N 2 Fx t0, ẇ =ẋ t ż s ż 2 s 2 = Ax t + Fx t ωz 2 s + ωz s 2 N Fx t0s N 2 Fx t0s 2, 37 that is, ] [ż ż 2ẇ = [ 0 ω O ω 0 O 0 0 A ][ z z 2 w ] N + Fz s + z 2 s 2 + w0 N2 Fz s + z 2 s 2 + w0. j=,2 N j Fz s + z 2 s 2 + w0s j + Fz s + z 2 s 2 + w 38 It shows the structure of OpDE 8 after projection to the plane spanned by s and s 2, and to its complementary space. Now, we need to expand the nonlinearities in power series form, and to keep only those, which result in terms of degree up to three after the reduction to the centremanifold. To this end, only those terms are calculated ż, for 2 that have second and third order in z,2 and the terms z,2 w i, i =,...,n, while for ẇ, only the second order terms in z,2 are needed. This calculation is possible directly by the Taylor expansion of the analytic function F: R n R n R n of 2 in the definition of 20 of the nearzero operator F. The resulting truncated system of
9 HOPF BIFURCATION CALCULATIONS 97 OpDE 38 assumes the form: ] ][ ] [ż z ż 2ẇ = + [ 0 ω O ω 0 O 0 0 A z 2 w 2 n i= f l 0,i z + f l n i= f 2l 0,i + z + f 2l 2 0,i z 2 0,i z 2 j+k=2 j,k 0 j+k=2,3 j,k 0 f jk0 z j zk 2 j+k=2,3 j,k 0 f 2 jk0 z j zk 2 f 3c 3s jk0 cosωϑ + f jk0 sinωϑ z j zk 2 wi 0 + f r 0,i z + f r 0,i z 2 wi 0 + f 2r 0,i z + f 2r 0,i z 2 { 0 if ϑ<0 j+k=2 j,k 0 f 3 jk0 z j zk 2 if ϑ = 0 where the subscripts of the constant coef ficients f f 3 jkm, 2 jkm wi wi, 39 R, and the vector ones R n refer to the corresponding j th, k th and m th orders of z, z 2 and w, respectively. The terms with the coef ficients f 3s jk0, f 3c jk0 come from the linear combinations of s ϑ and s 2 ϑ, while the terms with coef ficients f 3 and the zero above them refer to the structure of the nonlinear operator F 20. The plane spanned by the eigenvectors s and s 2 is tangent to the centremanifold CM at the origin. This means, that the CM can be approximated locally as a truncated power series of w depending on the second order of the coordinates z and z 2 : wϑ = h20 ϑz h ϑz z 2 + h 02 ϑz The unknown coefficients h 20, h and h 02 X R n can be determined by calculating the derivative of w in 40. On the one hand, it is expressed to the second order by the substitution of the linear part first of two equations of 39 : ẇϑ = ωh ϑz 2 + ωh 20ϑ h 02 ϑz z 2 + ωh ϑz 2 2, 4 on the other hand, this derivative can also be expressed by the third equation of 39. The comparison of the coef ficients of z 2, z z 2 and z2 2 gives a linear boundary value problem for the unknown coefficients of the CM, that is, the differential equation [ h ] [ ][ ] 20 ϑ 0 2ωI 0 h20 ϑ h ϑ = ωi 0 ωi h ϑ h 02 ϑ 0 2ωI 0 h 02 ϑ f 3c f 3c 0 f 3c cosωϑ f 3s f 3s 0 f 3s jk0 sinωϑ, 42
10 98 G. OROSZ with the boundary condition [ ][ ] [ ][ ] L 2ωI 0 h20 0 R 0 0 h20 ωi L ωi h R 0 h = 0 2ωI L h R h 02 f 3c f f 3c 0 + f f 3c + f 3 43 The general solution of 42 takes the form [ ] h20 ϑ [ ] H0 [ H ] [ ] H2 h ϑ h 02 ϑ = 0 H 0 + H 2 H cos2ωϑ + H H 2 sin2ωϑ 44 + f 3c 0 + f 3s f 3s 3ω 2 f 3s 0 f 3c f 3c cosωϑ f 3c f 3s f 3s f 3s 0 f 3c f 3c + 2 f 3c 0 f 3s f 3s sinωϑ, f 3s 0 2 f 3c 200 f 3c where the unknown constant vectors H 0, H and H 2 R n are determined by the linear nonhomogeneous equations L + R 0 0 H 0 0 L+ R cos2ω 2ωI + R sin2ω 0 2ωI + R sin2ω H = f f 3 f f 3 L + R cos2ω H 2 f 3 0 3c + ωi + R sin ω 3 f + 6ω L + R cos ω 3 f 3s f 3s f 3c L + R cos ω 2 f 3c 0 + f 3s 200 f 3s 3s + ωi + R sin ω 2 f 0 + f 3c 200 f 3c L + R cos ω, f 3s f 3c f 3c 3c + ωi + R sin ω f 0 2 f 3s f 3s 45 arising from 43. Note that these equations are decoupled in variable H 0 and in variables H,2. The above calculation based on is called centremanifold reduction, which is one of the key components of the Hopf bifurcation calculation Poincaré Normal Form One may solve 45 and reconstruct the approximate equation of the CM by 44 and 40. Then calculating only the components w0 and w of wϑ, and substituting them into the first two scalar equations of, 39we obtain the equations ] [ ][ ] [ ] j+k=2,3 [ż 0 ω z j,k 0 a jk = + z j zk 2 ż 2 ω 0 z j+k=2,3 2 j,k 0 a 2 jk z j, 46 zk 2
11 HOPF BIFURCATION CALCULATIONS 99 which describe the flow restricted onto the twodimensional CM. We note that the coefficients of the second ord er terms in first the two equ at ion of 39 are not changed by the CM reduction, i.e., f,2 jk0 = a,2 jk when j + k = 2. Using the coefficients of the Poincaré normal form 46, the socalled PoincaréLyapunov coefficient can be determined by the Bautin formula see]: [5 = a 20 8 ω + a 02 a + a2 20 a a a2 02 a 20 a 02 + a2 + 3a 30 + a 2 + a a2 03. It shows the type of the bifurcation and approximate amplitude of the periodic solution, so that the bifurcation is supercritical subcritical if <0 > 0, and the amplitude of the stable unstable oscillation is expressed by A = Redλ,2τ cr τ τ cr. 48 dτ So the first Fourier term of the oscillation on the centremanifold is [ ] [ ] z t cosωt = A. 49 z 2 t sinωt Note that it is valid with and without tildes, since it only includes the frequency and the time in the product form ω t = ω t. Since xt = x t 0 by definition and not too far from the critical bifurcation delay parameter x t ϑ z ts ϑ+ z 2 ts 2 ϑ, the formula 49 of the periodic solution yields 47 xt z ts 0 + z 2 ts 2 0 = A s 0 cosωt s 2 0 sinωt = A S cosω t S 2 sinω t. 50 The nonlinear oscillations around the equilibrium 3 are well approximated with this harmonic oscillation when τ τ cr is sufficiently small. 5. Conclusion We have given a general overview of the algorithm for the Hopf bifurcation calculation in time delayed systems with one discrete delay. The centremanifold reduction has also been carried out in the infinitedimensional phase space. The calculations resulted in closedform linear algebraic equations which can be solved analytically in systems where the number of parameters is not too large. This formal structure will make such calculations simpler in a very wide range of applications in future.
12 200 G. OROSZ Acknowledgement The author gratefully acknowledges Gábor Stépán s help and support who has introduced him into the world of retarded dynamical systems, and he would also like to thank Eddie Wilson and Bernd Krauskopf for their very helpful comments. This research was supported by the Universities UK under an ORS Award and by the University of Bristol under a Postgraduate Research Fellowship. References [] CAMPBELL, S. A. BÉLAIR, J., Analytical and SymbolicallyAssisted Investigations of Hopf Bifurcations in DelayDifferential Equations, Canadian Applied Mathematics Quarterly, 3 995, pp [2] DIEKMANN, O. VAN GILS, S.A. VERDUYN LUNEL, S.M. WALTHER,H.O.,Delay Equations: Functional, Complex, and Nonlinear Analysis, vol. 0 of Applied Mathematical Sciences, SpringerVerlag, New York, 995. [3] ENGELBORGHS, K. LUZYANINA, T. ROOSE, D., Numerical Bifurcation Analysis of Delay Differential Equations Using DDEBIFTOOL, ACM Transactions on Mathematical Software, , pp. 2. [4] ENGELBORGHS, K. LUZYANINA, T. SAMAEY, G.,DDEBIFTOOL v. 2.00: a Matlab Package for Bifurcation Analysis of Delay Differential Equations, Tech. Report TW330, Department of Computer Science, K. U. Leuven, koen/delay/ddebiftool.shtml. [5] GREEN, K. KRAUSKOPF, B. SAMAEY, G., A TwoParameter Study of the Locking Region of a Semiconductor Laser Subject to PhaseConjugate Feedback, SIAM Journal on Applied Dynamical Systems, , pp [6] HALE, J. K. MAGELHÃES, L. T. OLIVA, W. M., Dynamics in Infinite Dimensions, vol. 47 of Applied Mathematical Sciences, SpringerVerlag, New York, 2nd ed., [7] HALE, J.K. VERDUYN LUNEL, S.M.,Introduction to Functional Differential Equations, vol. 99 of Applied Mathematical Sciences, SpringerVerlag, New York, 993. [8] HASSARD, B.D. KAZARINOFF, N.D. WAN, Y.H., Theory and Applications of Hopf Bifurcation, vol. 4 of London Mathematical Society Lecture Note Series, Cambridge University Press, Cambridge, 98. [9] KALMÁRNAGY,T. STÉPÁN,G. MOON, F. C., Subcritical Hopf Bifurcation in the Delay Equation Model for Machine Tool Vibrations, Nonlinear Dynamics, , pp [0] KOLMANOVSKII, V.B. NOSOV, V.R.,Stability of Functional Differential Equations, vol. 80 of Mathematics in Science and Engineering, Academic Press, INC., London, 986. [] PONTRYAGIN, L. S., On the Zeros of Some Elementary Transcendental Functions, AMS Translations, 955, pp [2] SHAYER, L. P. CAMPBELL, S. A., Stability, Bifurcation and Multistability in a System of two Coupled Neurons with Multiple Time Delays, SIAM Journal on Applied Mathematics, , pp [3] SIEBER, J. KRAUSKOPF, B., Bifurcation Analysis of an Inverted Pendulum with Delayed Feedback Control Near a TripleZero Eigenvalue Singularity, Nonlinearity, , pp [4] STÉPÁN, G., Great Delay in a PredatorPrey Model, Nonlinear Analysis TMA, 0 986, pp [5] STÉPÁN, G.,Retarded Dynamical Systems: Stability and Characteristic Functions, vol. 20 of Pitman Research Notes in Mathematics, Longman, Essex, 989. [6] STÉPÁN, G. HALLER, G., Quasiperiodic Oscillations in Robot Dynamics, Nonlinear Dynamics, 8 995, pp
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