Lorenz System — Simulated Indirect Measurement Dataset
Abstract
This dataset contains simulated time series generated from the Lorenz dynamical system together with explicitly modeled sensor measurements. The data provide full access to ground-truth state variables while reproducing realistic indirect observation processes, enabling benchmarking of system identification, state reconstruction, and nonlinear time-series analysis methods under controlled chaotic dynamics.
Fields of Study & Subjects
Chaos control and synchronization
Control Systems and Identification
Mathematical Dynamics and Fractals
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 23 February 2026
- Language
- EN
- Document type
- Dataset