2 results about "Projection algorithms" patented technology

This application provides a data-driven multivariable adaptive predictive control method for an adaptive cyclic engine, belonging to the field of aero-engine technology. The method includes: constructing an equivalent data model of the adaptive cyclic engine based on full-format dynamic linearization of the engine's input and output data to obtain multi-step forward output prediction equations; performing real-time estimation of the pseudo-gradient matrix in the prediction equations using autoregressive and projection algorithms to form a predictive control rolling optimization framework; embedding a model-free adaptive control algorithm based on single-step optimization into this framework to form a composite control strategy; designing control input performance indicators with the goal of minimizing tracking error to obtain optimal control parameters; and generating real-time optimal control parameters using the engine's real-time input and output data based on the composite control strategy to achieve precise multivariable coordinated control. This application improves the long-term prediction, constraint handling, and global optimization capabilities of the control system.

The invention discloses a three-dimensional Gaussian modeling method for analyzing biomacromolecule components and conformation heterogeneity, and belongs to the technical field of cryoelectron microscope image processing. According to the method, the component and conformation heterogeneity can be directly represented through the change of Gaussian parameters, and an intuitive and explainable structure change description is provided; the consistency and integrity of the local structure along the transformation trajectory are ensured through geometric constraint; modeling of tens of thousands of Gaussian models on a pseudo-atom level is supported; gaussian variation is converted into an atomic conformation landscape through natural support, and a direct bridge is provided between density-based analysis and pseudo-atom level interpretation; the method is realized through an efficient Gaussian projection algorithm and parallel computing, and the processing capacity of a large-scale data set is remarkably improved. According to the method, the component and conformation heterogeneity can be effectively processed at the same time, the continuous conformation change is visually represented, the local structure consistency is kept, the density model and the atomic model are naturally connected, and the defects in the prior art are overcome.