Some Basic Predictive Control Algorithms

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Abstract

This chapter introduces some typical predictive control algorithms based on the basic principles, with different model types, aiming at illustrating how the predictive control algorithm can be developed by concretizing these principles. Dynamic matrix control (DMC) is one of the most widely used predictive control algorithms in industrial processes. Generalized predictive control (GPC) is another kind of predictive control algorithms rising from the research area of adaptive control. The early predictive control algorithms generally adopted an input-output model, either nonparametric such as model predictive heuristic control or DMC, or parametric such as GPC. However, since the 1990s, the state space model has been widely adopted in theoretical research of model predictive control because such research needs to take the mature theoretical results of modern control theory as reference. The prediction model aims at providing the basis for solving the optimization problem.

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