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1 1998

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Model-based predictive control of large-scale systems using a neural estimator

Tzafestas S., Kyriannakis E., Anthopoulos Y.

Applied Mathematics and Computer Science

1998

Vol. 8, no 3

585-598

An approach to the design of discrete-time decentralized controI systems based on model-based predictive controI (MBPC) and neural estimation is proposed. The class of interconnected large-scale systems (LSS) is considered, and a model is used at each controI station to predict the corresponding subsystem output over a long time period. In the case of subsystems with m-step delay information patterns the non-locally available interaction trajectories are estimated by a multi-layer neural network trained on-line with a modified backpropagationtype algortithm. Representative computer simulation results are provided and compared for a set of illustrative examples. The proposed controI scheme shows better performance than the other schemes, and also covers the important case where the subsystems' interactions are nonlinear.