Abstract: An adaptive predictive expert control system for controlling single-input single-output, or multi-variable time-variant processes with known or unknown parameters and with or without time delay, is disclosed. The adaptive predictive expert control system of the present invention adds an expert block into the operation of previously known adaptive predictive control systems. This expert block based on rules and in the evolution of the process variables, determines and/or modifies the operation of the driver block, control block and adaptive feedback mechanism of the previous art, in order to improve the performance, robustness and stability of the overall control system.

Abstract: An Adaptive-Predictive Control and Optimization System enables a designer to construct a control and optimization scheme using graphical operators to represent adaptive-predictive controllers and to represent complementary operating logic operations. The control and optimization scheme controls an actual or simulated process in accordance with at least one predefined process performance criteria and is constructed by integrating the adaptive-predictive controllers with the complementary operating logic by selecting and interconnecting their corresponding graphical representations. The adaptive-predictive controller predicts the value of an adaptive-predictive driven vector during at least one future sampling instant, and generates, at each of the sampling instants, a control vector that drives the value of the predicted driven vector to satisfy a predefined controller performance criterion at the at least one future sampling instant.

Abstract: An adaptive-predictive control system for controlling single-input single-output, or multivariable time-variant processes with known or unknown parameters and with or without time delay, is disclosed. The adaptive-predictive control system of the present invention updates on real time the parameters of an adaptive-predictive model from which the dynamic output vector of the process being controlled is predicted and the control vector controlling the operation of this process is computed with the objective that the predicted dynamic output vector becomes equal to the desired dynamic output vector.