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 sequen...

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Bibliographic Details
Main Authors: Bialasiewicz, J.T., Horta, L.G., Phan, M.Q.
Format: Conference Proceeding
Language:English
Subjects:
Flexible structures
NASA
Optimal control
Polynomials
Prediction algorithms
Predictive control
Predictive models
Process control
State-space methods
Torque control
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Description
Summary: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.
DOI:10.1109/ACC.1994.735174