1. A method of dynamic model selection for hybrid linear/non-linear process control, comprising: developing a plurality of process models including at least one linear process model and at least one non-linear process model from inputs including dynamic process data from a processing system that runs a physical process; selecting at least two of said plurality of process models based on a performance comparison using least one metric, wherein said at least two process models number less than a number of said plurality of process models; generating a multi-model comprising controller from said at least two of said plurality of process models; simulating said physical process using said multi-model comprising controller by applying said at least two process models to obtain closed loop performance test data; comparing performance of said at least two plurality of process models based on said closed loop performance test data, and selecting a selected process model from said at least two process models.