An Adaptive Observer for Time-Varying Nonlinear Systems - Application to a Crop Irrigation Model
- Resource Type
- Conference
- Authors
- Dadjo, M.G.; Efimov, D.; Harmand, J.; Rapaport, A.; Ushirobira, R.
- Source
- 2023 62nd IEEE Conference on Decision and Control (CDC) Decision and Control (CDC), 2023 62nd IEEE Conference on. :7489-7494 Dec, 2023
- Subject
- Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Irrigation
Adaptation models
Adaptive systems
Crops
Observers
Numerical simulation
Stability analysis
- Language
- ISSN
- 2576-2370
We propose an adaptive observer for a class of nonlinear time-varying systems, for which the regressor depends not only on the known input-output signals but also on all the unmeasured states. There are state disturbances, and measurements are corrupted by noise. The Lyapunov function method is used to prove that the coupled system-observer dynamics admits a state-independent input-to-output stability property in estimation errors from un-known inputs. Numerical simulations illustrate the presented approach on a three-dimensional crop irrigation model.