ABSTRACT
Modeling of control systems before their implementation in real plants is an efficient and cost-saving strategy in industrial applications. The need for controllers with high-quality standards to reliably manipulate operations in complex industrial systems has been increasing remarkably. These controllers should have the capability of dealing with restrictions on control strategies and internal variables [170]. This necessity has led to the development of different kinds of controllers, which can be successfully applied to industrial plants. However, because of the nonlinear nature of industrial systems and deviation of control systems from the design objectives, there are still high demands for controllers and control approaches which can incorporate system nonlinearity. ANNs have a high capability in modeling and control of dynamic systems such as GTs.
