Identified predictive control

A new approach to the long-range predictive control, named identified predictive control (IPC), is proposed. The process predictor model, used to determine the control sequence, is derived from a state space formulation of the ARIMAX model and is directly identified using current input-output sequences. Since IPC uses a properly defined observer model of the minimum-variance j-step-ahead predictor, its implicit identification has dead beat properties that makes IPC particularly suitable for control of flexible structures. A numerical example is used to demonstrate the algorithm.