Guiding one-dimensional formations of mobile agents with coarsely quantized information

Abstract In this paper, we study the formation control problem for platoons of mobile agents that are guided by coarsely quantized information. A comprehensive trajectory-based analysis is presented for the convergence of the multi-agent platoon, which greatly improves the existing result that applies only to 3-agent platoons. Using tools from non-smooth analysis, it is shown that the formation can converge within finite time even when each agent is constrained by a 1-bit transmission channel. We further introduce hysteresis in the quantization scheme to deal with the possible chattering phenomena as a result of the coarse quantization. Simulation results validate the effectiveness of the proposed control strategy.

[1]  Hui Liu,et al.  Control of one-dimensional guided formations using coarsely quantized information , 2010, 49th IEEE Conference on Decision and Control (CDC).

[2]  R. Srikant,et al.  Quantized Consensus , 2006, 2006 IEEE International Symposium on Information Theory.

[3]  Mireille E. Broucke,et al.  Stabilization of infinitesimally rigid formations of multi-robot networks , 2008, 2008 47th IEEE Conference on Decision and Control.

[4]  Ruggero Carli,et al.  Quantized Coordination Algorithms for Rendezvous and Deployment , 2009, SIAM J. Control. Optim..

[5]  Robin J. Evans,et al.  Feedback Control Under Data Rate Constraints: An Overview , 2007, Proceedings of the IEEE.

[6]  J. Hendrickx,et al.  Rigid graph control architectures for autonomous formations , 2008, IEEE Control Systems.

[7]  Pravin Varaiya,et al.  The Automated Highway System: A Transportation Technology for the 21st Century , 1996 .

[8]  Ruggero Carli,et al.  Average consensus on networks with quantized communication , 2009 .

[9]  Mireille E. Broucke,et al.  Stabilisation of infinitesimally rigid formations of multi-robot networks , 2009, Int. J. Control.

[10]  Jorge Cortés,et al.  Finite-time convergent gradient flows with applications to network consensus , 2006, Autom..

[11]  J. Cortés Discontinuous dynamical systems , 2008, IEEE Control Systems.

[12]  Naomi Ehrich Leonard,et al.  Collective Motion, Sensor Networks, and Ocean Sampling , 2007, Proceedings of the IEEE.

[13]  Claudio De Persis,et al.  Discontinuities and hysteresis in quantized average consensus , 2010, Autom..

[14]  Brian D. O. Anderson,et al.  Controlling a triangular formation of mobile autonomous agents , 2007, 2007 46th IEEE Conference on Decision and Control.

[15]  Claudio De Persis,et al.  Discontinuous stabilization of nonlinear systems: Quantized and switching controls , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[16]  R. Sanfelice,et al.  Hybrid dynamical systems , 2009, IEEE Control Systems.

[17]  Karl Henrik Johansson,et al.  Stability analysis for multi-agent systems using the incidence matrix: Quantized communication and formation control , 2010, Autom..

[18]  Steven E. Shladover,et al.  PATH at 20—History and Major Milestones , 2007, IEEE Transactions on Intelligent Transportation Systems.