The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Moving horizon estimation for hybrid systems
Open accessAbstract
We propose a state-smoothing algorithm for hybrid systems based on moving-horizon estimation (MHE) by exploiting the equivalence between hybrid systems modeled in the mixed logic dynamical form and piecewise affine systems. We provide sufficient conditions on the time horizon and the penalties on the state at the beginning of the estimation horizon to guarantee asymptotic convergence of the MHE scheme. Moreover, we propose two practical algorithms for the computation of penalties that allow us to implement MHE by solving a mixed-integer quadratic program.
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Cites
A Unified Framework for Hybrid Control: Model and Optimal Control Theory
Branicky, M. S., Borkar, V. S., & Mitter, S. K. (1998) · IEEE Transactions on Automatic Control · doi:10.1109/9.654885 · Cited by 1,313
Cited by
Predictive Control for Linear and Hybrid Systems
Borrelli, F., Bemporad, A., & Morari, M. (2017) · Cambridge University Press eBooks · doi:10.1017/9781139061759 · Cited by 1,443
Self-citationHYSDEL—A Tool for Generating Computational Hybrid Models for Analysis and Synthesis Problems
Torrisi, F. D., & Bemporad, A. (2004) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2004.824309 · Cited by 435
Particle filtering and moving horizon estimation
Rawlings, J. B., & Bakshi, B. R. (2006) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2006.05.031 · Cited by 317
Metadata
- Authors
- Ferrari-Trecate, G., Mignone, D., & Morari, M.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2002-10
- Volume
- 47
- Issue
- 10
- Pages
- 1663-1676
- ISSN
- 0018-9286 (ISSN-L)
- OpenAlex
- W2138280264
- Cited by
- 233
- References
- 1
- FWCI
- 33.46
- Type
- journal article
- Language
- en
- Open access
- green
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