A new formulation of small-gain theorem without imposing strong iISS with respect to Disturbances on components

The small-gain paradigm has long been used to verify stability of feedback interconnected systems. For component systems that are integral input-to-state stable (iISS), available small-gain results require the component systems to be strongly iISS. We remove this restriction by using a recently proposed Lyapunov characterization of iISS that allows cross terms between external inputs and states in the Lyapunov decrease condition. This novel formulation extends previously available iISS small-gain arguments, which is demonstrated in an example.

[1]  Zhong-Ping Jiang,et al.  Necessary and Sufficient Small Gain Conditions for Integral Input-to-State Stable Systems: A Lyapunov Perspective , 2009, IEEE Transactions on Automatic Control.

[2]  Peter M. Dower,et al.  Input-to-State Stability, Integral Input-to-State Stability, and ${\cal L}_{2} $-Gain Properties: Qualitative Equivalences and Interconnected Systems , 2016, IEEE Transactions on Automatic Control.

[3]  Hiroshi Ito,et al.  Strong iISS is preserved under cascade interconnection , 2014, Autom..

[4]  Hiroshi Ito,et al.  Relationships Between Subclasses of Integral Input-to-State Stability , 2017, IEEE Transactions on Automatic Control.

[5]  David Angeli,et al.  Integral Input to State Stable systems in cascade , 2008, Syst. Control. Lett..

[6]  Zhong-Ping Jiang,et al.  A Lyapunov formulation of the nonlinear small-gain theorem for interconnected ISS systems , 1996, Autom..

[7]  Zhong-Ping Jiang,et al.  A new small‐gain theorem with an application to the stabilization of the chemostat , 2012 .

[8]  Hiroshi Ito,et al.  A Lyapunov Approach to Cascade Interconnection of Integral Input-to-State Stable Systems , 2010, IEEE Transactions on Automatic Control.

[9]  Hiroshi Ito,et al.  State-Dependent Scaling Problems and Stability of Interconnected iISS and ISS Systems , 2006, IEEE Transactions on Automatic Control.

[10]  Eduardo Sontag Smooth stabilization implies coprime factorization , 1989, IEEE Transactions on Automatic Control.

[11]  Yuan Wang,et al.  On Characterizations of Input-to-State Stabilitywith Respect to Compact , 1995 .

[12]  David Angeli,et al.  A Unifying Integral ISS Framework for Stability of Nonlinear Cascades , 2001, SIAM J. Control. Optim..

[13]  Hiroshi Ito,et al.  Combining iISS and ISS With Respect to Small Inputs: The Strong iISS Property , 2014, IEEE Transactions on Automatic Control.

[14]  Fabian R. Wirth,et al.  Nonlinear Scaling of (i)ISS-Lyapunov Functions , 2016, IEEE Transactions on Automatic Control.

[15]  Christopher M. Kellett,et al.  iISS and ISS dissipation inequalities: preservation and interconnection by scaling , 2016, Math. Control. Signals Syst..

[16]  David Angeli,et al.  A characterization of integral input-to-state stability , 2000, IEEE Trans. Autom. Control..

[17]  Hiroshi Ito Utility of Iiss in Composing Lyapunov Functions for Interconnections , 2013, NOLCOS.

[18]  Eduardo Sontag Comments on integral variants of ISS , 1998 .

[19]  Zhong-Ping Jiang,et al.  Small-gain theorem for ISS systems and applications , 1994, Math. Control. Signals Syst..

[20]  Alessandro Astolfi,et al.  A tight small gain theorem for not necessarily ISS systems , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[21]  Zhong-Ping Jiang,et al.  Robust Stability of Networks of iISS Systems: Construction of Sum-Type Lyapunov Functions , 2013, IEEE Transactions on Automatic Control.