Stability analysis of 2-D digital filters described by the Fornasini-Marchesini second model using overflow nonlinearities

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

Volumn 48, Issue 5, 2001, Pages 612-617

  Kar, H ^a   Singh, V ^a  

^a MOTILAL NEHRU NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Asymptotic stability; Digital filter wordlength effects; Multidimensional digital filters

Indexed keywords

ASYMPTOTIC STABILITY; CONTROL NONLINEARITIES; MATHEMATICAL MODELS; STATE SPACE METHODS;

MULTIDIMENSIONAL DIGITAL FILTERS;

DIGITAL FILTERS;

EID: 0035330782     PISSN: 10577122     EISSN: None     Source Type: Journal    
DOI: 10.1109/81.922464     Document Type: Article

References (14)

1. Stability analysis of state-space realizations for two-dimensional filters with overflow nonlinearities
2. Two-dimensional digital filters without overflow oscillations and instability due to finite word length
3. Stability and absence of overflow oscillations for 2-D discrete-time systems
4. Stability analysis of 2-D state-space digital filters using lyapunov function: A caution
5. Comments on stability and absence of overflow oscillations for 2-D discrete-time systems
6. Reply to 'comments on stability and absence of overflow oscillations for 2-D discrete-time systems'
7. New criteria for asymptotic stability of one- and multidimensional state-space digital filters in fixed-point arithmetic
8. Stability and the Lyapunov equation for n-dimensional digital systems
9. Lyapunov stability of two-dimensional digital filters with overflow nonlinearities
10. 2-D Lyapunov equation and filter design based on the Fornasini-Marchesini second model
11. Stability of 2-D discrete systems described by the fornasini-marchesini second model
12. On a lyapunov approach to stability analysis of 2-D digital filters
13. A new realizability condition for limit cycle free state-space digital filters employing saturation arithmetic
14. On the realization of two's complement overflow limit cycle free state-space digital filters