### Abstract

The authors propose, for the first time in system theory, a robust version of the well-known system identification problem. The problem, which they call the simultaneous identification problem, arises in trying to identify the parameters of a time-varying system. In the past, an identifier for a time-varying system was constructed by an immediate generalization of the ideas pertaining to a time invariant system. Unless the time variation of the plant is assumed to be slow, such an identification scheme would result in poor performance. As an alternative, a randomized algorithm is presented, and its convergence is investigated.

Original language | English |
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Pages (from-to) | 1538-1539 |

Number of pages | 2 |

Journal | Proceedings of the IEEE Conference on Decision and Control |

State | Published - 1988 |

Event | Proceedings of the 27th IEEE Conference on Decision and Control - Austin, TX, USA Duration: Dec 7 1988 → Dec 9 1988 |

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## Cite this

Ghosh, B. K., & Schattler, H. (1988). Randomized algorithm for simultaneous identification of linear systems.

*Proceedings of the IEEE Conference on Decision and Control*, 1538-1539.