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This tutorial demonstrates the solution of basic equations of motion in two dimensions with an object (skydiver) falling from an ... We formulate a dynamic model with model quantities such as constants, parameters, and variables and model expressions such ... An estimator determines states and model parameters or unmeasured disturbances from output data. A Kalman filter is popular ... Training and testing a simple neural network (3 layers) is shown in Special Session: Tackling Control Problems with Open-Source Software in Julia and Model Predictive Control uses a mathematical description of a

A simple reaction network with three species is optimized in a reactor. The objective is to maximize the amount of the final species. A batch reactor optimization problem is solved with Discrete variables include binary (0 or 1), integer (-1, 0, 1, 2, 3,...), or general discrete values (1/4, 1/2, 1, 2).