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Dughman, S.S.; Rossiter, J.A.
Publisher: Taylor & Francis
Languages: English
Types: Article
Discussions on how to make effective use of advance information on target changes are discussed relatively rarely\ud in the predictive control literature. While earlier work has indicated that the default solutions from conventional\ud predictive control algorithms are often poor, very little work has proposed systematic alternatives. This paper\ud proposes an embedding structure for utilising advance information on target changes within an optimum\ud predictive control law. The proposed embedding is shown to be systematic and beneficial. Moreover, it allows\ud for easy extension to deal with more challenging scenarios such as unreachable set points and guarantees of\ud convergence/stability in the uncertain case.\ud
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