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EN
In this paper properties of M-matrices are used to develop procedures to ensure that a positive discrete-time linear system achieves a specified desired balanced growth rate. Both closed-loop and open-loop control procedures are considered, with state feedback being adopted for implementing the closed-loop control. Procedures developed are illustrated by simple examples.
EN
Cohort-type models have a wealth of structure and are important in many fields of application. Being a sub-class of linear positive systems, such a model structure belongs to this class of constrained linear systems which are defined on cones and not on linear spaces. As a consequence much of the theory developed for linear systems is not directly applicable. Whilst the dynamics of cohort-type models. Are well understood their reachability and controllability properties have received little attention in the literature. Using a graph-theoretic characterisation the paper examines these fundamental properties and includes application to some specific models.
EN
By exploiting the input dependent nature of the parameters of a discrete-time bilinear model structure, the paper combines knowledge of both discrete and continuous model parameters to form a hybrid approach to self-tuning controller design. With consideration given to an identified bilinear model of a high temperature heating plant application the appropriateness of the hybrid approach is demonstrated. In particular it is shown that the hybrid approach may be used to advantage within a Kalman filtering prediction/correction parameter estimation scheme. Practical issues relating to implementation of the approach are also discussed.
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