Graduate Program in Systems and Control Engineering.Kaynak, Okyay,Kayacan, Erdal.2023-03-162023-03-162006.SCO 2006 K38https://digitalarchive.library.bogazici.edu.tr/handle/123456789/15622This thesis proposes a grey system theory based fuzzy PID controller that has a prediction capability. Although fuzzy control theory and grey system theory have completely different mathematical basics, both deal with uncertain information. In the thesis, a short description of both are given and their performance are compared on a non-linear liquid level control system. The grey model developed is examined under several different conditions and it is shown that the proposed grey fuzzy PID controller has better self-adapting characteristics. The simulation results indicate that the proposed controller has the ability to control the non-linear system accurately with a little amount of overshoot and with no steady-state error. It has, in these respects, better performance than the conventional controllers. The thesis is also intended to serve as a first reading on grey system theory and grey prediction based controllers. The fundamental concepts and mathematical basics of grey system theory are therefore explained in simple terms.30cm.PID controllers.Fuzzy logic.xiii, 66 leaves;