Inducing chaos in electronic circuits by resonant perturbations

Anil Kandangath, Satish Krishnamoorthy, Ying-Cheng Lai, John A. Gaudet

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)


We propose a scheme to induce chaotic attractors in electronic circuits. The applications that we are interested in stipulate the following three constraints: 1) the circuit operates in a stable periodic regime far away from chaotic behavior; 2) no parameters or state variables of the circuit are directly accessible to adjustment and 3) the circuit equations are unknown and the only available information is a time series (or a signal) measured from the circuit. Under these conditions', a viable approach to chaos induction is to use external excitations such as a microwave signal, assuming that a proper coupling mechanism exists which allows the circuit to be perturbed by the excitation. The question we address in this paper is how to choose the waveform of the excitation to ensure that sustained chaos (chaotic attractor) can be generated in the circuit. We show that weak resonant perturbations with time-varying frequency and phase are generally able to drive the circuit into a hierarchy of nonlinear resonant states and eventually into chaos. We develop a theory to explain this phenomenon, provide numerical support, and demonstrate the feasibility of the method by laboratory experiments. In particular, our experimental system consists of a Duffing-type of nonlinear electronic oscillator driven by a phase-locked loop (PLL) circuit. The PLL can track the frequency and phase evolution of the target Duffing circuit and deliver resonant perturbations to generate robust chaotic attractors.

Original languageEnglish
Pages (from-to)1109-1119
Number of pages11
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Issue number5
Publication statusPublished - May 2007


  • duffing oscillator
  • inducing chaos
  • phase-locked loop (PLL)
  • resonant perturbations
  • weak harmonic perturbations
  • high-dimensional chaos
  • phase-locked loop
  • parametric perturbations
  • Lyapunov exponents
  • feedback-control
  • capture range
  • dynamics
  • noise
  • transition


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