Simultaneous identification of linear systems: a heuristic approach

Y. Lirov; B. K. Ghosh

doi:10.1016/0167-6911(87)90056-9

Simultaneous identification of linear systems: a heuristic approach

Y. Lirov, B. K. Ghosh

Mathematics and Statistics

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

The problem of simultaneous system identification is posed and an efficient algorithm for its solution is formulated. Our algorithm is a blend of an A^* search together with Simulated Annealing. The proposed algorithm returns the optimal solution while the number of required operations is usually much smaller than any other brute-force algorithm.

Original language	English
Pages (from-to)	317-322
Number of pages	6
Journal	Systems and Control Letters
Volume	9
Issue number	4
DOIs	https://doi.org/10.1016/0167-6911(87)90056-9
State	Published - Oct 1987

Keywords

Heuristics
Identification
Simulated annealing

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title = "Simultaneous identification of linear systems: a heuristic approach",

abstract = "The problem of simultaneous system identification is posed and an efficient algorithm for its solution is formulated. Our algorithm is a blend of an A* search together with Simulated Annealing. The proposed algorithm returns the optimal solution while the number of required operations is usually much smaller than any other brute-force algorithm.",

keywords = "Heuristics, Identification, Simulated annealing",

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AU - Lirov, Y.

AU - Ghosh, B. K.

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AB - The problem of simultaneous system identification is posed and an efficient algorithm for its solution is formulated. Our algorithm is a blend of an A* search together with Simulated Annealing. The proposed algorithm returns the optimal solution while the number of required operations is usually much smaller than any other brute-force algorithm.

KW - Heuristics

KW - Identification

KW - Simulated annealing

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DO - 10.1016/0167-6911(87)90056-9

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EP - 322

JO - Systems and Control Letters

JF - Systems and Control Letters

SN - 0167-6911

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Simultaneous identification of linear systems: a heuristic approach

Abstract

Keywords

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