Matches in SemOpenAlex for { <https://semopenalex.org/work/W3083056622> ?p ?o ?g. }
- W3083056622 endingPage "1518" @default.
- W3083056622 startingPage "1501" @default.
- W3083056622 abstract "Summary Because of the product item of the control input and the state vector, the identification of bilinear systems is difficult. This paper considers the combined parameter and state estimation problems of bilinear state‐space systems. On the basis of the observability canonical form and the model transformation, an identification model with a linear combination of the system parameters is obtained. Using the hierarchical principle, the identification model is decomposed into three submodels with fewer variables, and a three‐stage least squares‐based iterative (3S‐LSI) algorithm is presented to estimate the system parameters. Furthermore, we derive a state estimator (SE) for estimating the unknown states, and present an SE‐3S‐LSI algorithm for estimating the unknown parameters and states simultaneously. After that, the least squares‐based iterative algorithm is presented as a comparison. By analyzing the estimation results and the calculation amount, these two algorithms can identify the bilinear system effectively but the 3S‐LSI algorithm can improve the computational efficiency. The simulation results indicate the effectiveness of the proposed algorithms." @default.
- W3083056622 created "2020-09-11" @default.
- W3083056622 creator A5018725689 @default.
- W3083056622 creator A5022687490 @default.
- W3083056622 creator A5031078784 @default.
- W3083056622 creator A5068730007 @default.
- W3083056622 creator A5078567815 @default.
- W3083056622 date "2020-09-03" @default.
- W3083056622 modified "2023-09-27" @default.
- W3083056622 title "Three‐stage least squares‐based iterative estimation algorithms for bilinear state‐space systems based on the bilinear state estimator" @default.
- W3083056622 cites W2018617609 @default.
- W3083056622 cites W2066134327 @default.
- W3083056622 cites W2066557929 @default.
- W3083056622 cites W2124460410 @default.
- W3083056622 cites W2128980069 @default.
- W3083056622 cites W2397319041 @default.
- W3083056622 cites W2461017733 @default.
- W3083056622 cites W2542825942 @default.
- W3083056622 cites W2598172078 @default.
- W3083056622 cites W2611645994 @default.
- W3083056622 cites W2614481326 @default.
- W3083056622 cites W2751565523 @default.
- W3083056622 cites W2756154429 @default.
- W3083056622 cites W2763015773 @default.
- W3083056622 cites W2783556645 @default.
- W3083056622 cites W2808555074 @default.
- W3083056622 cites W2900774998 @default.
- W3083056622 cites W2903250535 @default.
- W3083056622 cites W2903306812 @default.
- W3083056622 cites W2904342893 @default.
- W3083056622 cites W2909196027 @default.
- W3083056622 cites W2909761918 @default.
- W3083056622 cites W2910088833 @default.
- W3083056622 cites W2911768202 @default.
- W3083056622 cites W2913674227 @default.
- W3083056622 cites W2932735878 @default.
- W3083056622 cites W2943893559 @default.
- W3083056622 cites W2952883391 @default.
- W3083056622 cites W2958339834 @default.
- W3083056622 cites W2958727589 @default.
- W3083056622 cites W2959675909 @default.
- W3083056622 cites W2968158929 @default.
- W3083056622 cites W2971414156 @default.
- W3083056622 cites W2974039923 @default.
- W3083056622 cites W2974068849 @default.
- W3083056622 cites W2982509241 @default.
- W3083056622 cites W2984387681 @default.
- W3083056622 cites W2984609773 @default.
- W3083056622 cites W2988385019 @default.
- W3083056622 cites W2990718877 @default.
- W3083056622 cites W2991317056 @default.
- W3083056622 cites W2993509553 @default.
- W3083056622 cites W2994245319 @default.
- W3083056622 cites W2995320218 @default.
- W3083056622 cites W2995811812 @default.
- W3083056622 cites W2996870713 @default.
- W3083056622 cites W2997162143 @default.
- W3083056622 cites W2997703388 @default.
- W3083056622 cites W2997748273 @default.
- W3083056622 cites W2997940326 @default.
- W3083056622 cites W2999431534 @default.
- W3083056622 cites W3000454215 @default.
- W3083056622 cites W3003879404 @default.
- W3083056622 cites W3004910756 @default.
- W3083056622 cites W3005476113 @default.
- W3083056622 cites W3006298831 @default.
- W3083056622 cites W3007326216 @default.
- W3083056622 cites W3009010584 @default.
- W3083056622 cites W3009535257 @default.
- W3083056622 cites W3009822251 @default.
- W3083056622 cites W3012287063 @default.
- W3083056622 cites W3012661762 @default.
- W3083056622 cites W3014764454 @default.
- W3083056622 cites W3014869445 @default.
- W3083056622 cites W3016968745 @default.
- W3083056622 cites W3017153079 @default.
- W3083056622 cites W3017355869 @default.
- W3083056622 cites W3020457926 @default.
- W3083056622 cites W3020647226 @default.
- W3083056622 cites W3021478157 @default.
- W3083056622 cites W3027093707 @default.
- W3083056622 cites W3027323758 @default.
- W3083056622 cites W3027592294 @default.
- W3083056622 cites W3028492226 @default.
- W3083056622 cites W3031243385 @default.
- W3083056622 cites W3031745343 @default.
- W3083056622 doi "https://doi.org/10.1002/acs.3166" @default.
- W3083056622 hasPublicationYear "2020" @default.
- W3083056622 type Work @default.
- W3083056622 sameAs 3083056622 @default.
- W3083056622 citedByCount "2" @default.
- W3083056622 countsByYear W30830566222021 @default.
- W3083056622 countsByYear W30830566222023 @default.
- W3083056622 crossrefType "journal-article" @default.
- W3083056622 hasAuthorship W3083056622A5018725689 @default.
- W3083056622 hasAuthorship W3083056622A5022687490 @default.
- W3083056622 hasAuthorship W3083056622A5031078784 @default.
- W3083056622 hasAuthorship W3083056622A5068730007 @default.