Well‐posedness of a model order reduction for singularly perturbed linear stochastic systems

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Abstract

An order reduction problem for the state estimation of singularly perturbed linear systems is shown to be a well‐posed problem, whereas the corresponding order reduction control problem is ill‐posed. This observation plays an important role in the concept of multimodeling and in the slow—fast decomposition control problem for singularly perturbed linear stochastic systems.

Original languageEnglish (US)
Pages (from-to)305-309
Number of pages5
JournalOptimal Control Applications and Methods
Volume8
Issue number3
DOIs
StatePublished - 1987

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Control and Optimization
  • Applied Mathematics

Keywords

  • Linear—quadratic problems
  • Order reduction
  • Singularly perturbed linear systems
  • State estimation
  • Stochastic control

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