Robust H∞ controller design for dynamic consensus networks

ABSTRACT This paper studies an H∞ suboptimal control problems of consensus networks whereby the weights of network edges are no longer static gains, but instead are dynamic systems, leading to the notion of dynamic consensus networks. We apply model, orthogonal and diagonal transformations to a dynamic consensus network in order to reduce the overall system into N − 1 independent subsystems. We then establish a generalised methodology for designing a controller for a dynamic consensus network in the presence of external disturbances, focusing especially on using decentralised controllers that achieve consensus in the absence of disturbances and attenuation of disturbances to a prescribed H∞ performance level. A design example is given to illustrate our results.

[1]  Lihua Xie,et al.  Distributed robust control of linear multi-agent systems with parameter uncertainties , 2011, Int. J. Control.

[2]  Zhisheng Duan,et al.  On H∞ and H2 performance regions of multi-agent systems , 2011, Autom..

[3]  Fadel Lashhab Dynamic consensus networks: spectral properties, consensus and control , 2012 .

[4]  Yingmin Jia,et al.  Robust h ∞ consensus analysis of a class of second-order multi-agent systems with uncertainty , 2010 .

[5]  E. Yaz Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.

[6]  Richard M. Murray,et al.  Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.

[7]  J.M. Maciejowski,et al.  Multivariable toolbox for use with MATLAB , 1989, IEEE Control Systems Magazine.

[8]  Jos F. Sturm,et al.  A Matlab toolbox for optimization over symmetric cones , 1999 .

[9]  Yingmin Jia,et al.  Distributed robust Hinfinity consensus control in directed networks of agents with time-delay , 2008, Syst. Control. Lett..

[10]  Kevin L. Moore,et al.  Dynamic Consensus Networks with Application to the Analysis of Building Thermal Processes , 2011 .

[11]  Shengwei Wang,et al.  Optimal simplified thermal models of building envelope based on frequency domain regression using genetic algorithm , 2007 .

[12]  Johan Efberg,et al.  YALMIP : A toolbox for modeling and optimization in MATLAB , 2004 .

[13]  J.M. Maciejowski,et al.  A Multivariable Toolbox for use with Matlab , 1988, 1988 American Control Conference.

[14]  J. Lofberg,et al.  YALMIP : a toolbox for modeling and optimization in MATLAB , 2004, 2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508).

[15]  Reza Olfati-Saber,et al.  Consensus and Cooperation in Networked Multi-Agent Systems , 2007, Proceedings of the IEEE.

[16]  Peng Lin,et al.  Average consensus in networks of multi-agents with both switching topology and coupling time-delay , 2008 .

[17]  Kevin L. Moore,et al.  Consensus of positive real systems cascaded with a single integrator , 2015 .