Biryukov equation

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Template:Short description Template:COI

Sine oscillations Template:Math

In the study of dynamical systems, the Biryukov equation (or Biryukov oscillator), named after Vadim Biryukov (1946), is a non-linear second-order differential equation used to model damped oscillators.[1]

The equation is given by d2ydt2+f(y)dydt+y=0,(1)

where Template:Math is a piecewise constant function which is positive, except for small Template:Mvar as

f(y)={F,|y|Y0;F,|y|>Y0.F=const.>0,Y0=const.>0.

Eq. (1) is a special case of the Lienard equation; it describes the auto-oscillations.

Solution (1) at separate time intervals when f(y) is constant is given by[2]

yk(t)=A1,kexp(s1,kt)+A2,kexp(s2,kt)(2)

where Template:Math denotes the exponential function. Here sk={F2(F2)21,|y|<Y0;F2(F2)21otherwise. Expression (2) can be used for real and complex values of Template:Mvar.

The first half-period’s solution at

y(0)=±Y0

is

Relaxation oscillations Template:Math

y(t)={y1(t),0t<T0;y2(t),T0t<T2.y1(t)=A1,kexp(s1,kt)+A2,kexp(s2,kt),y2(t)=A3,kexp(s3,kt)+A4,kexp(s4,kt).

The second half-period’s solution is

y(t)={y1(tT2),T2t<T2+T0;y2(tT2),T2+T0t<T.

The solution contains four constants of integration Template:Math, the period Template:Mvar and the boundary Template:Math between Template:Math and Template:Math needs to be found. A boundary condition is derived from the continuity of Template:Math and Template:Math.[3]

Solution of (1) in the stationary mode thus is obtained by solving a system of algebraic equations as

y1(0)=Y0y1(T0)=Y0y2(T0)=Y0y2(T2)=Y0dy1dt|T0=dy2dt|T0dy1dt|0=dy2dt|T2

The integration constants are obtained by the Levenberg–Marquardt algorithm. With f(y)=μ(1+y2), μ=const.>0, Eq. (1) named Van der Pol oscillator. Its solution cannot be expressed by elementary functions in closed form.

References

Template:Reflist

  1. H. P. Gavin, The Levenberg-Marquardt method for nonlinear least squares curve-fitting problems (MATLAB implementation included)
  2. Arrowsmith D. K., Place C. M. Dynamical Systems. Differential equations, maps and chaotic behavior. Chapman & Hall, (1992)
  3. Pilipenko A. M., and Biryukov V. N. «Investigation of Modern Numerical Analysis Methods of Self-Oscillatory Circuits Efficiency», Journal of Radio Electronics, No 9, (2013). http://jre.cplire.ru/jre/aug13/9/text-engl.html