Set-based state estimation of nonlinear systems using constrained zonotopes and interval arithmetic
| Autor: | Brenner S. Rego, Davide M. Raimondo, Guilherme V. Raffo |
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| Rok vydání: | 2018 |
| Předmět: |
Estimation
0209 industrial biotechnology Computer science 02 engineering and technology Kalman filter State (functional analysis) Interval arithmetic Set (abstract data type) Nonlinear system 020901 industrial engineering & automation Linearization 0202 electrical engineering electronic engineering information engineering Trajectory 020201 artificial intelligence & image processing Algorithm |
| Zdroj: | ECC Web of Science |
| DOI: | 10.23919/ecc.2018.8550353 |
| Popis: | This paper proposes a novel set-valued state estimation algorithm for nonlinear discrete-time systems with unknown-but-bounded disturbances. The problem is often addressed through conservative linearization, leading to severe overestimation. By combining important properties from interval arithmetic and the recently proposed constrained zonotopes, a highly tunable and accurate state estimation algorithm is developed, capable of providing tight bounds for the set-valued state estimation problem. A numerical experiment is presented to demonstrate the performance of the proposed strategy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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