Adaptive Controller Placement for Wireless Sensor-Actuator Networks with Erasure Channels

Wireless sensor-actuator networks offer flexibility for control design. One novel element which may arise in networks with multiple nodes is that the role of some nodes does not need to be fixed. In particular, there is no need to pre-allocate which nodes assume controller functions and which ones merely relay data. We present a flexible architecture for networked control using multiple nodes connected in series over analog erasure channels without acknowledgments. The control architecture proposed adapts to changes in network conditions, by allowing the role played by individual nodes to depend upon transmission outcomes. We adopt stochastic models for transmission outcomes and characterize the distribution of controller location and the covariance of system states. Simulation results illustrate that the proposed architecture has the potential to give better performance than limiting control calculations to be carried out at a fixed node.

[1]  Alessandro Chiuso,et al.  Information fusion strategies and performance bounds in packet-drop networks , 2011, Autom..

[2]  Ivan Stojmenovic,et al.  Guest Editorial Special Issue on Wireless Sensor and Actuator Networks , 2011 .

[3]  Daniel E. Quevedo,et al.  State Estimation Over Sensor Networks With Correlated Wireless Fading Channels , 2013, IEEE Transactions on Automatic Control.

[4]  Geir E. Dullerud,et al.  A stability and contractiveness analysis of discrete-time Markovian jump linear systems , 2007, Autom..

[5]  Nathan van de Wouw,et al.  Stability Analysis of Networked Control Systems Using a Switched Linear Systems Approach , 2009, IEEE Transactions on Automatic Control.

[6]  Graham C. Goodwin,et al.  Architectures and coder design for networked control systems , 2008, Autom..

[7]  Carlos Silvestre,et al.  Stability of networked control systems with asynchronous renewal links: An impulsive systems approach , 2013, Autom..

[8]  P. Abbeel,et al.  Kalman filtering , 2020, IEEE Control Systems Magazine.

[9]  R. P. Marques,et al.  Discrete-Time Markov Jump Linear Systems , 2004, IEEE Transactions on Automatic Control.

[10]  P. Lancaster.  Explicit Solutions of Linear Matrix Equations , 1970 .

[11]  Daniel E. Quevedo,et al.  On Kalman filtering over fading wireless channels with controlled transmission powers , 2012, Autom..

[12]  Subhrakanti Dey,et al.  Stability of Kalman filtering with Markovian packet losses , 2007, Autom..

[13]  Daniel E. Quevedo,et al.  Dynamic controller allocation for control over erasure channels , 2012 .

[14]  Panos J. Antsaklis,et al.  Special Issue on Technology of Networked Control Systems , 2007 .

[15]  Daniel E. Quevedo,et al.  Stability of state estimation over sensor networks with Markovian fading channels , 2011 .

[16]  Shreyas Sundaram,et al.  The Wireless Control Network: A New Approach for Control Over Networks , 2011, IEEE Transactions on Automatic Control.

[17]  Tamer Basar,et al.  Optimal control of LTI systems over unreliable communication links , 2006, Autom..

[18]  Dragan Nesic,et al.  Input-to-state stability of networked control systems , 2004, Autom..

[19]  Panganamala Ramana Kumar,et al.  Optimizing controller location in networked control systems with packet drops , 2008, IEEE Journal on Selected Areas in Communications.

[20]  Daniel E. Quevedo,et al.  Energy Efficient State Estimation With Wireless Sensors Through the Use of Predictive Power Control and Coding , 2010, IEEE Transactions on Signal Processing.