An optimization-based estimation method is presented to determine mode transition times and model parameters for hybrid systems. First- and second-order optimality conditions are derived, including crossderivative terms between transition times and parameters. Second-order optimization methods are shown to provide superior convergence to correct values in simulation, and to values within expected ranges experimentally for traction estimation of a skid-steered vehicle.
- Calibration and identification
- Second-order optimization
- Switched systems
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering