A frequency domain condition for stability of interconnected MIMO systems

Analysis of interconnected dynamical systems is considered. A framework for the analysis of stability of the interconnection is given. The results of Fax and Murray that studies the SISO-case for a constant interconnection matrix are generalized to the MIMO-case where arbitrary interconnection is allowed. The analysis shows the existence of a separation principle that is very useful in the sense of the simplicity for stability analysis. Stability could be checked graphically using a Nyquist-like criterion. The problem with time-delays and interconnection variation and robustness appear to be natural special cases of the general framework, and hence, simple stability criteria are derived easily.

[1]  Glenn Vinnicombe,et al.  On the stability of end-to-end congestion control for the internet , 2001 .

[2]  Mohamed E. El-Hawary Analysis of Interconnected Systems , 1995 .

[3]  J. A. Fax Optimal and Cooperative Control of Vehicle Formations , 2002 .

[4]  S. Lall,et al.  Decentralized control information structures preserved under feedback , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[5]  George J. Pappas,et al.  Stable flocking of mobile agents part I: dynamic topology , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[6]  C. Desoer,et al.  Linear System Theory , 1963 .

[7]  Bruce A. Francis,et al.  Feedback Control Theory , 1992 .

[8]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[9]  J. Doyle,et al.  Essentials of Robust Control , 1997 .

[10]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[11]  Richard M. Murray,et al.  Stability analysis of stochastically varying formations of dynamic agents , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[12]  R. Murray,et al.  Consensus protocols for networks of dynamic agents , 2003, Proceedings of the 2003 American Control Conference, 2003..

[13]  Charles L. Phillips,et al.  Feedback Control Systems , 1988 .