For nonlinear thermal power plants whose dynamics vary with load demand, a load-dependent exponential ARX (Exp-ARX) model which can exactly describes the nonlinear properties of the plants is presented. The Exp-ARX model requires only off-line identification. Based on the model, a constrained multivariable generalized predictive control (CMGPC) strategy is designed and implemented in a simulati...

A direct adaptive neural control scheme with single and double I-term is proposed to be applied for multivariable plant. The control scheme contains two Recurrent Trainable Neural Network (RTNN) models. The first RTNN is a plants parameter identifier and state estimator. The second RTNN is a feedback/feed-forward controller with I-terms. The good performance of the adaptive neural control with ...

This software package provides algorithms for analysis and design of saturation avoiding control systems. The design of linear controllers for linear, possibly multivariable or uncertain, plants is considered. To avoid a conservative design, the external signals are hard bounded in amplitude and rate. During the example sessions, only reference signals are considered as external signals, but th...

In this paper, a new method to analyze the input-output pairing for uncertain multivariable plants is proposed. Here, Hankel Interaction Index Array is used to choose the appropriate input-output pair and a theorem will be presented to show the effect of additive uncertainties on input-output pairing of the system. In this theorem a new approach to compute the variation bound of Hankel Interact...