Dual LMI approach to H∞ performance limitations analysis of SISO systems with multiple unstable zeros and poles

In this paper, we study a dual-LMI-based approach to H∞ performance limitations analysis of SISO systems with multiple (i.e., duplicated) unstable zeros and poles. The scope includes the analysis of the transfer functions M = (1+PK)-1 P, S = (1+PK)-1, and T = (1+PK)-1 PK where P and K stand for the plant and the controller, respectively. The latter two transfer functions are well investigated, and exact closed-form performance bounds are already known for the cases where the plant has the sole unstable zero of degree one or the sole unstable pole of degree one. However, such exact bounds are hardly available for the cases where the plant has multiple (i.e., duplicated) unstable zeros and poles. To obtain a lower bound of the best achievable H∞ performance for such involved cases, in this paper, we study a dual of the standard LMI that represents the existence of H∞ controllers achieving a prescribed H∞ performance level. By deriving a parametrization of dual feasible solutions and constructing a dual suboptimal solution analytically, we can readily obtain a lower bound of the best achievable H∞ performance.

[1]  Tetsuya Iwasaki,et al.  All controllers for the general H∞ control problem: LMI existence conditions and state space formulas , 1994, Autom..

[2]  Alan J. Laub,et al.  The LMI control toolbox , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[3]  Yoshio Ebihara,et al.  H∞ performance limitations analysis for SISO systems: A dual LMI approach , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[4]  Graham C. Goodwin,et al.  Fundamental Limitations in Filtering and Control , 1997 .

[5]  Gang Chen,et al.  Best tracking and regulation performance under control energy constraint , 2003, IEEE Trans. Autom. Control..

[6]  Richard H. Middleton,et al.  Fundamental design limitations of the general control configuration , 2003, IEEE Trans. Autom. Control..

[7]  Ian Postlethwaite,et al.  Multivariable Feedback Control: Analysis and Design , 1996 .

[8]  P. Gahinet,et al.  A linear matrix inequality approach to H∞ control , 1994 .

[9]  Shinji Hara,et al.  Generalized KYP lemma: unified frequency domain inequalities with design applications , 2005, IEEE Transactions on Automatic Control.

[10]  Shinji Hara,et al.  Dynamical system design from a control perspective: finite frequency positive-realness approach , 2003, IEEE Trans. Autom. Control..

[11]  Jie Chen,et al.  Logarithmic integrals, interpolation bounds, and performance limitations in MIMO feedback systems , 2000, IEEE Trans. Autom. Control..

[12]  Alan J. Laub,et al.  Numerically Reliable Computation of Optimal Performance in Singular $H_{\inf}$ Control , 1997 .

[13]  S. Skogestad,et al.  Effect of RHP zeros and poles on the sensitivity functions in multivariable systems , 1998 .

[14]  A. Rantzer On the Kalman-Yakubovich-Popov lemma , 1996 .