Full Information Estimation for Time-Varying Systems Subject to Round-Robin Scheduling: A Recursive Filter Approach
The full information estimation (FIE) problem is addressed for discrete time-varying systems (TVSs) subject to the effects of a round-Robin (RR) protocol. A shared communication network is adopted for data transmissions between sensor nodes and the state estimator. In order to avoid data collisions...
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| Published in | IEEE transactions on systems, man, and cybernetics. Systems Vol. 51; no. 3; pp. 1904 - 1916 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.03.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2168-2216 2168-2232 |
| DOI | 10.1109/TSMC.2019.2907620 |
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| Abstract | The full information estimation (FIE) problem is addressed for discrete time-varying systems (TVSs) subject to the effects of a round-Robin (RR) protocol. A shared communication network is adopted for data transmissions between sensor nodes and the state estimator. In order to avoid data collisions in signal transmission, only one sensor node could have access to the network and communicate with the state estimator per time instant. The so-called RR protocol, which is also known as the token ring protocol, is employed to orchestrate the access sequence of sensor nodes, under which the chosen sensor node communicating with the state estimator could be modeled by a periodic function. A novel recursive FIE scheme is developed by defining a modified cost function and using a so-called "backward-propagation-constraints." The modified cost function represents a special global estimation performance. The solution of the proposed FIE scheme is achieved by solving a minimization problem. Then, the recursive manner of such a solution is studied for the purpose of online applications. For the purpose of ensuring the estimation performance, sufficient conditions are obtained to derive the upper bound of the norm of the state estimation error (SEE). Finally, two illustrative examples are proposed to demonstrate the effectiveness of the developed estimation algorithm. |
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| AbstractList | The full information estimation (FIE) problem is addressed for discrete time-varying systems (TVSs) subject to the effects of a round-Robin (RR) protocol. A shared communication network is adopted for data transmissions between sensor nodes and the state estimator. In order to avoid data collisions in signal transmission, only one sensor node could have access to the network and communicate with the state estimator per time instant. The so-called RR protocol, which is also known as the token ring protocol, is employed to orchestrate the access sequence of sensor nodes, under which the chosen sensor node communicating with the state estimator could be modeled by a periodic function. A novel recursive FIE scheme is developed by defining a modified cost function and using a so-called “backward-propagation-constraints.” The modified cost function represents a special global estimation performance. The solution of the proposed FIE scheme is achieved by solving a minimization problem. Then, the recursive manner of such a solution is studied for the purpose of online applications. For the purpose of ensuring the estimation performance, sufficient conditions are obtained to derive the upper bound of the norm of the state estimation error (SEE). Finally, two illustrative examples are proposed to demonstrate the effectiveness of the developed estimation algorithm. |
| Author | Zou, Lei Han, Qing-Long Zhou, Donghua Wang, Zidong |
| Author_xml | – sequence: 1 givenname: Lei orcidid: 0000-0002-0409-7941 surname: Zou fullname: Zou, Lei organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China – sequence: 2 givenname: Zidong orcidid: 0000-0002-9576-7401 surname: Wang fullname: Wang, Zidong email: zidong.wang@brunel.ac.uk organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China – sequence: 3 givenname: Qing-Long orcidid: 0000-0002-7207-0716 surname: Han fullname: Han, Qing-Long organization: School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia – sequence: 4 givenname: Donghua orcidid: 0000-0003-0169-8490 surname: Zhou fullname: Zhou, Donghua email: zdh@mail.tsinghua.edu.cn organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China |
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| SubjectTerms | Algorithms Communication Cost function Data transmission Design of experiments Discrete time systems Full information estimation (FIE) IIR filters Job shop scheduling Nodes Periodic functions Protocols Recursive functions recursive state estimation (RSE) round-Robin (RR) protocol Sensors Signal transmission State estimation Symmetric matrices Time-varying systems time-varying systems (TVSs) uniform boundedness Upper bounds |
| Title | Full Information Estimation for Time-Varying Systems Subject to Round-Robin Scheduling: A Recursive Filter Approach |
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