β Scribed by J.M. NICHOLS; L.N. VIRGIN
No coin nor oath required. For personal study only.
We introduce a method by which the coefficient of viscous damping for a linear ndof system may be estimated. The technique utilises the unique properties of chaos by driving the system with the output of a non-linear oscillator. By tuning the Lyapunov exponents of the driving signal to the eigenvalues of the linear structure, the dimension of the output is effectively controlled. Estimates of the complete Lyapunov spectrum may then be used to extract the real part of the dominant eigenvalue, and hence the damping, for the system. Results are presented for a 2-dof spring-mass-damper driven with the output of the chaotic Lorenz oscillator. The effects of additive noise are also considered.
π SIMILAR VOLUMES
We discuss applications of the fact that dynamical state information can be reconstructed from a series of interspike interval (ISI) measurements. This system analysis allows system identification and prediction from spike train history. Secondly, using this reconstruction, unstable periodic traject
## Abstract The paper describes some of the simulations of measurements taken using EMTDC to estimate power system load models. It shows how different load structure and nonβideal conditions in power systems influence results of the measurements. On the basis of simulations performed different load