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Content Provider | IEEE Xplore Digital Library |
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Author | Reble, M. Quevedo, D.E. Allgower, F. |
Copyright Year | 2011 |
Description | Author affiliation: Institute for Systems Theory and Automatic Control (IST), University of Stuttgart, Germany (Reble, M.; Allgower, F.) || School of Electrical Engineering & Computer Science, The University of Newcastle, NSW 2308, Australia (Quevedo, D.E.) |
Abstract | In this work, we consider the control of discrete-time nonlinear systems over unreliable packet-based communication networks subject to random packet-dropouts. In order to mitigate the influence of the packet dropouts, the controller transmits packets containing control inputs for more than one future time instant. A suitable buffering is then applied at the plant actuator side. Since we do not assume the number of consecutive packet dropouts to be bounded, we are interested in stochastic stability of the closed-loop. For the calculation of the control inputs, we propose an unconstrained model predictive control (MPC) scheme without additional terminal weighting term. This unconstrained MPC scheme shows two significant advantages. First, we do not require the knowledge of a global control Lyapunov function, but instead only a less restrictive controllability assumption, in order to guarantee stochastic stability. Second, guaranteed performance bounds on the expected infinite horizon cost of the closed-loop can be obtained. |
Starting Page | 171 |
Ending Page | 176 |
File Size | 219650 |
Page Count | 6 |
File Format | |
ISBN | 9781457714757 |
ISSN | 19483449 |
e-ISBN | 9781457714764 |
DOI | 10.1109/ICCA.2011.6137929 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-12-19 |
Publisher Place | Chile |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Niobium Stability analysis Cost function Numerical stability Stochastic processes Asymptotic stability Lyapunov methods |
Content Type | Text |
Resource Type | Article |
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