Direct design of uniform LTI controllers from plant I/O data using a parallel evolutionary algorithm

This paper attempts to revolutionise control system design by unifying all LTI approaches in both the time and the frequency domains under performance satisfactions. The design is automated by efficient evolution from plant step response data, by-passing the system identification stage. The underlying aim is for a control engineers to obtain an 'off-the-computer' controller by feeding the developed CACSD system with plant I/O data and customer specifications. Validations against linear and nonlinear plants are convincing, where a better performance of the controller evolved from I/O data of an internally nonlinear plant is observed than that designed from an identified model.