摘要：AbstractThe problem of state-space modelling of 2D-trajectories from exponential data can be solved using a duality approach. Finding a minimal complexity model, i.e. one having the minimal number of state variables among those unfalsified by the data, can be transformed to a rank-minimization problem involving constant matrices computed from the data. We illustrate a Gröbner basis approach to solve such problem.
