Genetic Algorithms in Dynamical Systems Optimisation and Adaptation

Both in the design of dynamical systems, ranging from control systems to state estimators as in the adaptation of these systems the use of genetic algorithms is worth studying. This paper presents some approaches for using genetic algorithms in dynamical systems. The layouts and specific uses are discussed roughly without going into detail. All methods are based on measuring some performance criterion and optimising this criterion function with genetic algorithms. In this way, at least in principle, several possibilities appear to use the approaches from modem control theory in a practical way.