The aim of this subject is to introduce selected advanced control techniques such as adaptive linear quadratic control, predictive control, and approximate dynamic programming (including neuro-control and reinforcement learning) as tools for design of optimal control strategy. Some of these techniques are well established in other fields but their application in electrical engineering is just at the beginning. The methods will be explained on simple tutorial problems and further developed according to the focus of each student.