Sentence examples for model identification methods from inspiring English sources
Two non-linear reactor systems that can be described by systems of PDEs are provided to demonstrate the model identification methods.
A systematic work flow has been developed efficiently integrating detailed computational fluid dynamics (CFD) simulations on high-performance computing (HPC) systems with established optimization-based model identification methods.
Compared with traditional discrete-time model identification methods, the direct continuous-time approaches have some notable advantages that make them more useful in many practical applications.
It comprises most of the direct parametric continuous-time model identification methods from a discrete-time set of measurements, both classical ones as the state-variable filter method and more recent ones as subspace-based methods.
Preliminary results yield promising average correlation levels between predicted and real movement, suggesting that CLINATEC® model identification methods are relevant for hand movement decoding from MEG signals in human subjects.
Robust model identification methods have been designed in CLINATEC®, and have already provided relevant models of dependence between neural activity and intended movement when applied on ECoG non-human primate (NHP) data.
Therefore, a more accurate relay-based model identification method is proposed to deal with model mismatches.
In this paper, a model identification method for unknown parameters of a non-holonomic cart has been developed.
A dynamic model is derived for hovering flight conditions from closed-loop system identification experiments with the MOESP-type closed-loop subspace model identification method (CL-MOESP).
Closed-loop identifications such as Closed-loop subspace model identification method (CL-MOESP) have been proposed recently and validated through simulations.
In this paper, a novel T S fuzzy model identification method is adopted, in which a new fuzzy membership function designed for HSPC is designed.
