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 linear time invariant (LTI) approaches in both time and frequency domains under performance satisfaction. The design is automated by efficient evolution from plant step response data, bypassing the system identification stage. The underlying aim is for a control engineers to obtain an "off-the-computer" controller by feeding the developed CACSD (computer-aided control system design) 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 than that designed from an identified model is observed.