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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Antunes, D.J. Heemels, W.P.M.H. Hespanha, J.P. Silvestre, C.J. |
| Copyright Year | 2012 |
| Description | Author affiliation: Inst. for Syst. & Robot., Inst. Super.Tecnico, Lisbon, Portugal (Silvestre, C.J.) || Hybrid & Networked Syst. Group, Eindhoven Univ. of Technol., Eindhoven, Netherlands (Antunes, D.J.; Heemels, W.P.M.H.) || Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA, USA (Hespanha, J.P.) |
| Abstract | We consider a networked control system where a plant is connected to a remote controller via a shared network that allows only one user to transmit at a given time. At each transmission time, the controller decides between sampling one of the plant's sensors or transmitting control data to the plant. We tackle the problem of simultaneously designing a policy for scheduling decisions and a policy for control inputs so as to optimize a quadratic objective. Using the framework of dynamic programming, we propose a rollout strategy by which the scheduling and control decisions are determined at each transmission time as the ones that lead to optimal performance over a given horizon assuming that from then on controller and sensors transmit in a periodic order and the control law is a standard optimal law for periodic systems. We show that this rollout strategy results in a protocol where scheduling decisions are based on the state estimate and error covariance matrix of a Kalman estimator, and must be determined on-line. We contrast the solution to this problem with the solution to the seemingly similar sensor scheduling problem where optimal scheduling decisions can be determined off-line. We highlight how the protocol obtained from the rollout algorithm can be implemented in a distributed way in broadcast networks. Moreover, it follows by construction of rollout algorithms that our proposed scheduling method can outperform any periodic scheduling of transmissions. |
| Sponsorship | IEEE Control Syst. Soc. |
| Starting Page | 2042 |
| Ending Page | 2047 |
| File Size | 299916 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457710957 |
| ISSN | 07431619 |
| e-ISBN | 9781457710964 |
| e-ISBN | 9781467321020 |
| DOI | 10.1109/ACC.2012.6315640 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-27 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Sensors Protocols Scheduling Optimal scheduling Covariance matrix Processor scheduling Networked control systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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