A higher-order method for dynamic optimization of controllable linear time-invariant systems

Damiano Zanotto, Giulio Rosati, Sunil K. Agrawal

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This work describes a new procedure for dynamic optimization of controllable linear time-invariant (LTI) systems. Unlike the traditional approach, which results in 2 n first-order differential equations, the method proposed here yields a set of m differential equations, whose highest order is twice the controllability index of the system p. This paper generalizes the approach presented in a previous work to any controllable LTI system.

Original languageEnglish
Article number21008
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume135
Issue number2
DOIs
StatePublished - 2013

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