Parameter Identification of Train Basic Resistance Using Multi-Innovation Theory
Parameter Identification of Train Basic Resistance Using Multi-Innovation Theory is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include public transport timetable, estimation theory, regularization, punctuality, computer science, identification, least-squares function approximation, biological robustness, mathematical optimization, Recursive least squares filter, diagnosis, and algorithm. The authors derive the regularization form of the multi-innovation least squares algorithm and apply it to the train basic resistance parameter estimation.