Nønne L Prisle
Surfaces of Atmospheric Droplet Models Probed with Synchrotron XPS on a Liquid Microjet
Accounts of chemical research
article introduce novel moment closure scheme based concepts model predictive control mpc accurately describe time evolution statistical moments solution chemical master equation cme method moments set ordinary differential equations frequently used calculate first nm moments generally closed since lowerorder moments depend higherorder moments overcome limitation interpret moment equations nonlinear dynamical system first nm moments serve states closing moments serve control input demonstrate efficacy approach using three example systems show outperforms existing closure schemes polynomial systems encompass massaction systems provide probability bounds error true estimated moment trajectories achieve combining convergence properties priori moment estimates stochastic simulations guarantees nonlinear reference tracking mpc proposed method offers effective solution accurately predict time evolution moments cme wideranging implications many fields including biology chemistry engineering