This paper deals with decoupling problems of unknown, measurable and previewed signals. First the well known solutions of unknown and measurable disturbance decoupling problems are recalled. Then new necessary and sufficient constructive conditions for the previewed signal decoupling problem are proposed. The discrete time case is considered. In this domain previewing a signal by p steps means that the k-th sample of the signal to be decoupled is known p steps in advance. The main result is to prove that the stability condition for all of the mentioned decoupling problems does not change, i.e. the resolving subspace to be stabilized is the same independently of the type of signal to be decoupled, being it completely unknown (disturbance), measured or previewed. The problem has been studied through self-bounded controlled invariants, thus minimizing the dimension of the resolving subspace which corresponds to the infimum of a lattice. Note that reduced dimension on resolving controlled invariant subspace yields to reduce the order of the controller units.

F., B., G., M., Prattichizzo, D. (2000). Solving signal decoupling problems through self-bounded controlled invariants. In Proc. 39th IEEE Conference onDecision and Control, 2000 (pp.4506-4511). IEEE [10.1109/CDC.2001.914619].

Solving signal decoupling problems through self-bounded controlled invariants

PRATTICHIZZO, DOMENICO
2000-01-01

Abstract

This paper deals with decoupling problems of unknown, measurable and previewed signals. First the well known solutions of unknown and measurable disturbance decoupling problems are recalled. Then new necessary and sufficient constructive conditions for the previewed signal decoupling problem are proposed. The discrete time case is considered. In this domain previewing a signal by p steps means that the k-th sample of the signal to be decoupled is known p steps in advance. The main result is to prove that the stability condition for all of the mentioned decoupling problems does not change, i.e. the resolving subspace to be stabilized is the same independently of the type of signal to be decoupled, being it completely unknown (disturbance), measured or previewed. The problem has been studied through self-bounded controlled invariants, thus minimizing the dimension of the resolving subspace which corresponds to the infimum of a lattice. Note that reduced dimension on resolving controlled invariant subspace yields to reduce the order of the controller units.
2000
0780366387
F., B., G., M., Prattichizzo, D. (2000). Solving signal decoupling problems through self-bounded controlled invariants. In Proc. 39th IEEE Conference onDecision and Control, 2000 (pp.4506-4511). IEEE [10.1109/CDC.2001.914619].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/33904