The course gives an introduction to methods for modeling and simulation
of physical processes, for use in control applications. 1. Models, model
properties and modeling tools: The student will know the most common model
classes, and have knowledge of some central model properties that are useful
for control systems, and know principles for, and have some practical exposure
of, high level modeling tools (both block oriented (Simulink)
and equation/object-oriented (Modelica/Dymola). 2. Numerical simulation: The
student should be able to simulate a state-space model in a computer. This
entails implementation of simple explicit ODE methods, and to know principles
of state-of-the-art ODE solvers (e.g. as implemented in Matlab). 3. Rigid body
dynamics: The student should be able to write down equations of motion for
simple systems of rigid bodies, which gives a basis for modeling of mechanical
systems such as robots, marine vessels, cars, and airplanes. 4. Balanse
laws/fluid systems:
The student should learn the principles of balance laws, and use them to
formulate simple models of process systems (e.g. new energy, oil- and gas
production, chemical process industry).
