Two-dimensional imaging
On the Kalman-Yakubovich-Popov lemma
Systems & Control Letters
Robust Stability of Multivariate Polynomials. Part 1: SmallCoefficient Perturbations
Multidimensional Systems and Signal Processing
Rank-one LMI Approach to Stability of 2-D Polynomial Matrices
Multidimensional Systems and Signal Processing
Stability and Robustness of Multivariable Feedback Systems
Stability and Robustness of Multivariable Feedback Systems
Two-Dimensional Digital Filters
Two-Dimensional Digital Filters
Multidimensional Digital Signal Processing
Multidimensional Digital Signal Processing
Global Optimization with Polynomials and the Problem of Moments
SIAM Journal on Optimization
Optimization Problems over Positive Pseudopolynomial Matrices
SIAM Journal on Matrix Analysis and Applications
Robust Root-Clustering of a Matrix in Intersections or Unions of Regions
SIAM Journal on Control and Optimization
Kalman-Popov-Yakubovich lemma and the S-procedure: A historical essay
Automation and Remote Control
Robust H∞ filtering for Uncertain2-D continuous systems
IEEE Transactions on Signal Processing
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This paper focuses on Kalman---Yakubovich---Popov lemma for multidimensional systems described by Roesser model that possibly includes both continuous and discrete dynamics. It is shown that, similarly to the standard 1-D case, this lemma can be studied through the lens of S-procedure. Furthermore, by virtue of this lemma, we will examine robust stability, bounded and positive realness of multidimensional systems.