The wireless control network: A new approach for control over networks
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We present a method to stabilize a plant with a network of resource constrained wireless nodes. As opposed to traditional networked control schemes where the nodes simply route information to and from a dedicated controller (perhaps performing some encoding along the way), our approach treats the network itself as the controller. Specifically, we formulate a strategy for each node in the network to follow, where at each time-step, each node updates its internal state to be a linear combination of the states of the nodes in its neighborhood. We show that this causes the entire network to behave as a linear dynamical system, with sparsity constraints imposed by the network topology. We provide a numerical design procedure to determine appropriate linear combinations to be applied by each node so that the transmissions of the nodes closest to the actuators will stabilize the plant. We also show how our design procedure can be modified to maintain mean square stability under packet drops in the network, and present a distributed scheme that can handle node failures while preserving stability. We call this architecture a Wireless Control Network, and show that it introduces very low computational and communication overhead to the nodes in the network, allows the use of simple transmission scheduling algorithms, and enables compositional design (where the existing wireless control infrastructure can be easily extended to handle new plants that are brought online in the vicinity of the network). © 2011 IEEE.
Published Version (Please cite this version)10.1109/TAC.2011.2163864
Publication InfoPajic, M; Sundaram, S; Pappas, GJ; & Mangharam, R (2011). The wireless control network: A new approach for control over networks. IEEE Transactions on Automatic Control, 56(10). pp. 2305-2318. 10.1109/TAC.2011.2163864. Retrieved from https://hdl.handle.net/10161/11284.
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Dickinson Family Associate Professor
Miroslav Pajic's research focuses on design and analysis of cyber-physical systems and in particular, embedded and distributed/networked control, real-time and embedded systems, and high-confidence medical device systems.