Model reduction and ℓ1-gain analysis for two-dimensional positive systems

In this paper, for the two-dimensional (2-D) positive linear system, model reduction problem is tackled and the ℓ1-gain performance is also discussed. By constructing suitable co-positive Lyapunov function, criteria are obtained for the considered 2-D positive model to be asymptotically stable with given ℓ1-gain index. Then, specific design schemes are given to acquire the estimator matrix parameters for the reduced-order 2-D system. Simulation example is also given to provide effectiveness of the proposed method.

[1]  Chuandong Li,et al.  Robust Exponential Stability of Uncertain Delayed Neural Networks With Stochastic Perturbation and Impulse Effects , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[2]  Maria Elena Valcher,et al.  On the internal stability and asymptotic behavior of 2-D positive systems , 1997 .

[3]  Guanrong Chen,et al.  Synchronization of delayed chaotic systems with parameter mismatches by using intermittent linear state feedback , 2009 .

[5]  G. Marchesini,et al.  State-space realization theory of two-dimensional filters , 1976 .

[6]  Jinling Liang,et al.  Robust stabilisation for a class of stochastic two-dimensional non-linear systems with time-varying delays , 2013 .

[7]  Mohammed Alfidi,et al.  Controller synthesis for positive 2D systems described by the Roesser model , 2008, 2008 47th IEEE Conference on Decision and Control.

[8]  Zidong Wang,et al.  Pinning controllability of autonomous Boolean control networks , 2016, Science China Information Sciences.

[9]  Zidong Wang,et al.  State estimation for two‐dimensional complex networks with randomly occurring nonlinearities and randomly varying sensor delays , 2014 .

[10]  N. Bose Multidimensional systems theory and applications , 1995 .

[11]  Huijun Gao,et al.  ℋ︁∞ model reduction for uncertain two‐dimensional discrete systems , 2005 .

[12]  Huijun Gao,et al.  Filtering for uncertain 2-D discrete systems with state delays , 2007, Signal Process..

[13]  D. Casagrande,et al.  State-response decomposition for model reduction , 2016 .

[14]  R. Roesser A discrete state-space model for linear image processing , 1975 .

[15]  T. Kaczorek Positive 1D and 2D Systems , 2001 .

[16]  M. Twardy,et al.  An LMI approach to checking stability of 2D positive systems , 2007 .

[17]  T. Kaczorek Reachability and minimum energy control of positive 2D systems with delays , 2005 .

[18]  Tadeusz Kaczorek,et al.  Reachability and controllability of 2D positive linear systems with state feedbacks , 1999 .

[19]  P. E. Wellstead,et al.  Two-dimensional and EM techniques for cross directional estimation and control , 2002 .

[20]  James Lam,et al.  Positivity-preserving H∞ model reduction for positive systems , 2011, Autom..

[21]  Mauro Bisiacco New results in 2D optimal control theory , 1995, Multidimens. Syst. Signal Process..

[22]  R. Bracewell Two-dimensional imaging , 1994 .

[23]  Hamid Reza Karimi,et al.  Stability and l1-gain analysis for positive 2D T-S fuzzy state-delayed systems in the second FM model , 2014, Neurocomputing.

[24]  Hamid Reza Karimi,et al.  Delay-dependent exponential stabilization of positive 2D switched state-delayed systems in the Roesser model , 2014, Inf. Sci..

[25]  T. Kaczorek Two-Dimensional Linear Systems , 1985 .