https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52033 Wed 27 Sep 2023 10:01:33 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33314 a posteriori (MAP) estimation algorithm proposed in our previous study, which studies the linear measurement models of each subsystem, and by weakening the constraint condition as that each time-varying subsystem is observable, this paper proves that the error covariances of state estimation and prediction obtained from the improved algorithm are respectively positive definite and have upper bounds, which verifies the feasibility of this algorithm. We also use new weighting functions and time-varying exponential smoothing method to ensure the robustness and improve the forecast accuracy of the distributed state estimation method. At last, an example is used to demonstrate the effectiveness of the proposed algorithm together with the parameter identification.]]> Wed 10 Oct 2018 13:41:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38363 Tue 31 Aug 2021 11:00:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37654 Tue 09 Mar 2021 17:51:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43318 Thu 15 Sep 2022 14:15:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43267 Thu 15 Sep 2022 11:48:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31421 Sat 24 Mar 2018 08:43:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43630 Mon 26 Sep 2022 16:22:55 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35931 Fri 19 Jun 2020 14:55:42 AEST ]]>