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@ARTICLE{Schneider:826305,
      author       = {Schneider, Rene and Marquardt, Wolfgang},
      title        = {{C}onvergence and {S}tability of a {C}onstrained
                      {P}artition-{B}ased {M}oving {H}orizon {E}stimator},
      journal      = {IEEE transactions on automatic control},
      volume       = {61},
      number       = {5},
      issn         = {1558-2523},
      address      = {New York, NY},
      publisher    = {Institute of Electrical and Electronics Engineers},
      reportid     = {FZJ-2017-00538},
      pages        = {1316 - 1321},
      year         = {2016},
      abstract     = {A novel type of iterative partition-based moving horizon
                      estimators (PMHE) is proposed, the estimates of which
                      approach those of a centralized moving horizon estimator as
                      the number of iterations increases. It uses a deterministic
                      setting and can handle known inputs as well as bounds on the
                      estimated state. We derive conditions on the system, its
                      partitions, and the scalar regularization parameter, which
                      guarantee convergence towards the optimal centralized state
                      estimate as well as stability of the estimation error
                      dynamics, even with a finite number of iterations at each
                      time step. Finally, numerical simulations demonstrate both
                      the features and competitive estimation quality of the
                      proposed method.},
      cin          = {VS-V},
      ddc          = {620},
      cid          = {I:(DE-Juel1)VS-V-20090406},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000375120500014},
      doi          = {10.1109/TAC.2015.2471775},
      url          = {https://juser.fz-juelich.de/record/826305},
}