Michael Margaliot

127 papers A 1B 5Misc 1Journal 91Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Sufficient Condition for 2-Contraction of a Feedback Interconnection.
IEEE Trans. Autom. Control.
Ron Ofir, Francesco Bullo, Michael Margaliot
2026 J jnl
Random Attraction in TASEP with Time-varying Hopping Rates.
SIAM J. Appl. Dyn. Syst.
Lars Grüne, Kilian Pioch, Thomas Kriecherbauer, Michael Margaliot
2025 — conf
Compact attractors of an antithetic integral feedback system have a simple structure.
CDC
Michael Margaliot, Chengshuai Wu, Eduardo D. Sontag
2025 J jnl
k-Contraction in a Generalized Lurie System.
IEEE Trans. Autom. Control.
Ron Ofir, Jean-Jacques E. Slotine, Michael Margaliot
2024 J jnl
A networked small-gain theorem based on discrete-time diagonal stability.
CoRR
Ron Ofir, Michael Margaliot
2024 J jnl
A sufficient condition for 2-contraction of a feedback interconnection.
CoRR
Ron Ofir, Francesco Bullo, Michael Margaliot
2024 J jnl
Analysis of the Identifying Regulation With Adversarial Surrogates Algorithm.
IEEE Control. Syst. Lett.
Ron Teichner, Ron Meir, Michael Margaliot
2024 J jnl
Analysis of the Identifying Regulation with Adversarial Surrogates Algorithm.
CoRR
Ron Teichner, Ron Meir, Michael Margaliot
2024 J jnl
Contraction and k-contraction in Lurie systems with applications to networked systems.
Autom.
Ron Ofir, Alexander I. Ovseevich, Michael Margaliot
2024 J jnl
On Special Quadratic Lyapunov Functions for Linear Dynamical Systems With an Invariant Cone.
IEEE Trans. Autom. Control.
Omri Dalin, Alexander I. Ovseevich, Michael Margaliot
2024 J jnl
On the Gain of Entrainment in a Class of Weakly Contractive Bilinear Control Systems.
SIAM J. Control. Optim.
Rami Katz, Thomas Kriecherbauer, Lars Grüne, Michael Margaliot
2024 J jnl
The k-compound of a difference-algebraic system.
Autom.
Ron Ofir, Michael Margaliot
2024 J jnl
Verifying $k$-Contraction Without Computing $k$-Compounds.
IEEE Trans. Autom. Control.
Omri Dalin, Ron Ofir, Eyal Bar-Shalom, Alexander I. Ovseevich, Francesco Bullo, Michael Margaliot
2023 J jnl
Compound matrices in systems and control theory: a tutorial.
Math. Control. Signals Syst.
Eyal Bar-Shalom, Omri Dalin, Michael Margaliot
2023 J jnl
On singularly perturbed systems that are monotone with respect to a matrix cone of rank k.
CoRR
Ron Ofir, Pietro Lorenzetti, Michael Margaliot
2023 J jnl
k-Contraction in a Generalized Lurie System.
CoRR
Ron Ofir, Jean-Jacques E. Slotine, Michael Margaliot
2022 J jnl
A Sufficient Condition for $k$-Contraction of the Series Connection of Two Systems.
IEEE Trans. Autom. Control.
Ron Ofir, Michael Margaliot, Yoash Levron, Jean-Jacques E. Slotine
2022 J jnl
A sufficient condition for k-contraction in Lurie systems.
CoRR
Ron Ofir, Alexander I. Ovseevich, Michael Margaliot
2022 J jnl
Contraction and k-contraction in Lurie systems with applications to networked systems.
CoRR
Ron Ofir, Alexander I. Ovseevich, Michael Margaliot
2022 J jnl
Diagonal Stability of Discrete-Time $k$-Positive Linear Systems With Applications to Nonlinear Systems.
IEEE Trans. Autom. Control.
Chengshuai Wu, Michael Margaliot
2022 J jnl
Generalization of the Multiplicative and Additive Compounds of Square Matrices and Contraction Theory in the Hausdorff Dimension.
IEEE Trans. Autom. Control.
Chengshuai Wu, Raz Pines, Michael Margaliot, Jean-Jacques E. Slotine
2022 J jnl
Minimum Effort Decentralized Control Design for Contracting Network Systems.
IEEE Control. Syst. Lett.
Ron Ofir, Francesco Bullo, Michael Margaliot
2022 J jnl
On the gain of entrainment in the n-dimensional ribosome flow model.
CoRR
Ron Ofir, Thomas Kriecherbauer, Lars Grüne, Michael Margaliot
2022 J jnl
k-contraction: Theory and applications.
Autom.
Chengshuai Wu, Ilya Kanevskiy, Michael Margaliot
2021 J jnl
A generalization of linear positive systems with applications to nonlinear systems: Invariant sets and the Poincaré-Bendixson property.
Autom.
Eyal Weiss, Michael Margaliot
2021 — conf
Behavior of Totally Positive Differential Systems Near a Periodic Solution.
CDC
Chengshuai Wu, Lars Grüne, Thomas Kriecherbauer, Michael Margaliot
2021 — conf
Compound matrices in systems and control theory.
CDC
Eyal Bar-Shalom, Michael Margaliot
2021 J jnl
Discrete-Time $k$-Positive Linear Systems.
IEEE Trans. Autom. Control.
Rola Alseidi, Michael Margaliot, Jürgen Garloff
2021 J jnl
Is My System of ODEs k-Cooperative?
IEEE Control. Syst. Lett.
Eyal Weiss, Michael Margaliot
2021 J jnl
Random Attraction in the TASEP Model.
SIAM J. Appl. Dyn. Syst.
Lars Grüne, Thomas Kriecherbauer, Michael Margaliot
2021 — conf
Serial interconnections of 1-contracting and 2-contracting systems.
CDC
Ron Ofir, Michael Margaliot, Yoash Levron, Jean-Jacques E. Slotine
2021 J jnl
The Multiplicative Compound of a Matrix Pencil with Applications to Difference-Algebraic Equations.
CoRR
Ron Ofir, Michael Margaliot
2020 J jnl
Dynamical Systems With a Cyclic Sign Variation Diminishing Property.
IEEE Trans. Autom. Control.
Tsuff Ben Avraham, Guy Sharon, Yoram Zarai, Michael Margaliot
2020 J jnl
Entrainment to subharmonic trajectories in oscillatory discrete-time systems.
Autom.
Rami Katz, Michael Margaliot, Emilia Fridman
2020 J jnl
Ribosome Flow Model with Different Site Sizes.
SIAM J. Appl. Dyn. Syst.
Eyal Bar-Shalom, Alexander I. Ovseevich, Michael Margaliot
2019 — conf
A Generalization of Linear Positive Systems.
MED
Eyal Weiss, Michael Margaliot
2019 J jnl
A Generalization of Linear Positive Systems.
CoRR
Eyal Weiss, Michael Margaliot
2019 J jnl
A Polynomial-Time Algorithm for Solving the Minimal Observability Problem in Conjunctive Boolean Networks.
IEEE Trans. Autom. Control.
Eyal Weiss, Michael Margaliot
2019 J jnl
Approximating the Steady-State Periodic Solutions of Contractive Systems.
IEEE Trans. Autom. Control.
Samuel Coogan, Michael Margaliot
2019 J jnl
No Switching Policy Is Optimal for a Positive Linear System With a Bottleneck Entrance.
IEEE Control. Syst. Lett.
Mahdiar Sadeghi, Muhammad Ali Al-Radhawi, Michael Margaliot, Eduardo D. Sontag
2019 — conf
On Totally Positive Discrete- Time Systems.
MED
Rami Katz, Michael Margaliot, Emilia Fridman
2019 J jnl
Output Selection and Observer Design for Boolean Control Networks: A Sub-Optimal Polynomial-Complexity Algorithm.
IEEE Control. Syst. Lett.
Eyal Weiss, Michael Margaliot
2019 J jnl
Revisiting totally positive differential systems: A tutorial and new results.
Autom.
Michael Margaliot, Eduardo D. Sontag
2019 — conf
Ribosome flow model with nonhomogeneous site sizes.
CDC
Eyal Bar-Shalom, Alexander I. Ovseevich, Michael Margaliot
2018 — conf
A Generalization of Smillie's Theorem on Strongly Cooperative Tridiagonal Systems.
CDC
Eyal Weiss, Michael Margaliot
2018 J jnl
A Generalization of Smillie's Theorem on Strongly Cooperative Tridiagonal Systems.
CoRR
Eyal Weiss, Michael Margaliot
2018 — conf
Analysis of Nonlinear Tridiagonal Cooperative Systems using Totally Positive Linear Differential Systems.
CDC
Michael Margaliot, Eduardo D. Sontag
2018 J jnl
Controllability Analysis and Control Synthesis for the Ribosome Flow Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yoram Zarai, Michael Margaliot, Eduardo D. Sontag, Tamir Tuller
2018 J jnl
Minimal controllability of conjunctive Boolean networks is NP-complete.
Autom.
Eyal Weiss, Michael Margaliot, Guy Even
2017 J jnl
A Polynomial-Time Algorithm for Solving the Minimal Observability Problem in Conjunctive Boolean Networks.
CoRR
Eyal Weiss, Michael Margaliot
2017 — conf
Approximating periodic trajectories of contractive systems.
CDC
Michael Margaliot, Samuel Coogan
2017 J jnl
Approximating the Frequency Response of Contractive Systems.
CoRR
Michael Margaliot, Samuel Coogan
2017 J jnl
Minimal Controllability of Conjunctive Boolean Networks is NP-Complete.
CoRR
Eyal Weiss, Michael Margaliot, Guy Even
2017 J jnl
On Approximating Contractive Systems.
IEEE Trans. Autom. Control.
Meir Botner, Yoram Zarai, Michael Margaliot, Lars Grüne
2017 J jnl
On Minimizing the Maximal Characteristic Frequency of a Linear Chain.
IEEE Trans. Autom. Control.
Yoram Zarai, Michael Margaliot
2016 J jnl
Contraction after small transients.
Autom.
Michael Margaliot, Eduardo D. Sontag, Tamir Tuller
2016 — conf
Controlling the ribosomal density profile in mRNA translation.
CDC
Yoram Zarai, Michael Margaliot, Eduardo D. Sontag, Tamir Tuller
2015 — conf
Analyzing Linear Communication Networks Using the Ribosome Flow Model.
CIT/IUCC/DASC/PICom
Yoram Zarai, Oz Mendel, Michael Margaliot
2015 J jnl
Analyzing Linear Communication Networks using the Ribosome Flow Model.
CoRR
Yoram Zarai, Oz Mendel, Michael Margaliot
2015 — ch.
Knowledge Extraction from Support Vector Machines: A Fuzzy Logic Approach.
Fifty Years of Fuzzy Logic and its Applications
Shahaf Duenyas, Michael Margaliot
2015 J jnl
Ribosome Flow Model on a Ring.
IEEE ACM Trans. Comput. Biol. Bioinform.
Alon Raveh, Yoram Zarai, Michael Margaliot, Tamir Tuller
2014 — conf
A new approach to exact slow-fast decomposition of singularly perturbed linear systems with small delays.
CDC
Valery Y. Glizer, Yuri Feigin, Emilia Fridman, Michael Margaliot
2014 J jnl
Maximizing Protein Translation Rate in the Ribosome Flow Model: The Homogeneous Case.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yoram Zarai, Michael Margaliot, Tamir Tuller
2014 — conf
Minimum-time control of Boolean networks: An algebraic approach.
CDC
Dmitriy Laschov, Michael Margaliot
2014 J jnl
On Boolean control networks with maximal topological entropy.
Autom.
Dmitriy Laschov, Michael Margaliot
2014 — conf
On three generalizations of contraction.
CDC
Eduardo D. Sontag, Michael Margaliot, Tamir Tuller
2013 J jnl
Explicit Expression for the Steady-State Translation Rate in the Infinite-Dimensional Homogeneous Ribosome Flow Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yoram Zarai, Michael Margaliot, Tamir Tuller
2013 J jnl
Mathematical analysis of a flying capacitor converter: a sampled-data modeling approach.
Int. J. Circuit Theory Appl.
Michael Margaliot, Alex Ruderman, Boris Reznikov
2013 J jnl
Minimum-Time Control of Boolean Networks.
SIAM J. Control. Optim.
Dmitriy Laschov, Michael Margaliot
2013 J jnl
Observability of Boolean networks: A graph-theoretic approach.
Autom.
Dmitriy Laschov, Michael Margaliot, Guy Even
2013 — conf
Optimal switching between two linear consensus protocols.
CDC
Orel Ron, Michael Margaliot
2013 — conf
Stability analysis of positive bilinear control systems: A variational approach.
CDC
Gal Hochma, Michael Margaliot
2013 J jnl
Symbolic dynamics of Boolean control networks.
Autom.
Gal Hochma, Michael Margaliot, Ettore Fornasini, Maria Elena Valcher
2012 J jnl
A Maximum Principle for the Stability Analysis of Positive Bilinear Control Systems with Applications to Positive Linear Switched Systems.
SIAM J. Control. Optim.
Lior Fainshil, Michael Margaliot
2012 J jnl
Controllability of Boolean control networks via the Perron-Frobenius theory.
Autom.
Dmitriy Laschov, Michael Margaliot
2012 J jnl
Explicit construction of a Barabanov norm for a class of positive planar discrete-time linear switched systems.
Autom.
Ron Teichner, Michael Margaliot
2012 — conf
Nice-reachability results for discrete-time linear switched systems with applications to stability under arbitrary switching laws.
CDC
Tal Monovich Wahrmann, Michael Margaliot
2012 J jnl
On the Steady-State Distribution in the Homogeneous Ribosome Flow Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Michael Margaliot, Tamir Tuller
2012 J jnl
Stability Analysis of the Ribosome Flow Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Michael Margaliot, Tamir Tuller
2011 J jnl
A Maximum Principle for Single-Input Boolean Control Networks.
IEEE Trans. Autom. Control.
Dmitriy Laschov, Michael Margaliot
2011 J jnl
A second-order maximum principle for discrete-time bilinear control systems with applications to discrete-time linear switched systems.
Autom.
Tal Monovich, Michael Margaliot
2011 J jnl
Analysis of Discrete-Time Linear Switched Systems: A Variational Approach.
SIAM J. Control. Optim.
Tal Monovich, Michael Margaliot
2011 — conf
Knowledge extraction from a class of support vector machines using the fuzzy all-permutations rule-base.
CCMB
Shahaf Duenyas, Michael Margaliot
2010 J jnl
A simplification of the Agrachev-Gamkrelidze second-order variation for bang-bang controls.
Syst. Control. Lett.
Irad Ratmansky, Michael Margaliot
2010 J jnl
Analysis of artificial neural network learning near temporary minima: A fuzzy logic approach.
Fuzzy Sets Syst.
Ido Roth, Michael Margaliot
2010 J jnl
The Low-Frequency Distortion in D-Class Amplifiers.
IEEE Trans. Circuits Syst. II Express Briefs
Michael Margaliot, George Weiss
2009 J jnl
Extracting symbolic knowledge from recurrent neural networks - A fuzzy logic approach.
Fuzzy Sets Syst.
Eyal Kolman, Michael Margaliot
2009 — conf
Improving Training in the Vicinity of Temporary Minima.
IWANN (1)
Ido Roth, Michael Margaliot
2009 — book
Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
Eyal Kolman, Michael Margaliot
2009 J jnl
Nice Reachability for Planar Bilinear Control Systems With Applications to Planar Linear Switched Systems.
IEEE Trans. Autom. Control.
Michael Margaliot, Michael S. Branicky
2009 J jnl
Nice Reachability for Planar Bilinear Control Systems With Applications to Planar Linear Switched Systems.
IEEE Trans. Autom. Control.
Michael Margaliot, Michael S. Branicky
2009 J jnl
On the Stability of Positive Linear Switched Systems Under Arbitrary Switching Laws.
IEEE Trans. Autom. Control.
Lior Fainshil, Michael Margaliot, Pavel Chigansky
2009 J jnl
On the analysis of nonlinear nilpotent switched systems using the Hall-Sussmann system.
Syst. Control. Lett.
Michael Margaliot
2008 J jnl
A New Approach to Knowledge-Based Design of Recurrent Neural Networks.
IEEE Trans. Neural Networks
Eyal Kolman, Michael Margaliot
2008 J jnl
Biomimicry and Fuzzy Modeling: A Match Made in Heaven.
IEEE Comput. Intell. Mag.
Michael Margaliot
2008 J jnl
Root-mean-square gains of switched linear systems: A variational approach.
Autom.
Michael Margaliot, João Pedro Hespanha
2007 J jnl
A Counterexample to a Conjecture of Gurvits on Switched Systems.
IEEE Trans. Autom. Control.
Michael Margaliot
2007 J jnl
Knowledge Extraction From Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem.
IEEE Trans. Neural Networks
Eyal Kolman, Michael Margaliot
2007 J jnl
Nicholson's blowflies revisited: A fuzzy modeling approach.
Fuzzy Sets Syst.
Iosef Rashkovsky, Michael Margaliot
2007 — conf
Root-mean-square gains of switched linear systems: A variational approach.
CDC
Michael Margaliot, João P. Hespanha
2007 J jnl
The Fuzzy Ant.
IEEE Comput. Intell. Mag.
Valeri Rozin, Michael Margaliot
2006 — conf
A Counter Example to a Conjecture of Gurvits on Switched Systems.
CDC
Michael Margaliot
2006 J jnl
Absolute stability of third-order systems: A numerical algorithm.
Autom.
Michael Margaliot, Christos A. Yfoulis
2006 J jnl
Lie-algebraic stability conditions for nonlinear switched systems and differential inclusions.
Syst. Control. Lett.
Michael Margaliot, Daniel Liberzon
2006 B conf
Nicholson's blowflies revisited: a fuzzy modeling approach.
FUZZ-IEEE
Iosef Rashkovsky, Michael Margaliot
2006 J jnl
Stability analysis of switched systems using variational principles: An introduction.
Autom.
Michael Margaliot
2006 B conf
The Fuzzy Ant.
FUZZ-IEEE
Valeri Rozin, Michael Margaliot
2005 — conf
A Numerical Algorithm for Solving the Absolute Stability Problem in R3.
CDC/ECC
Michael Margaliot, Christos A. Yfoulis
2005 J jnl
Are artificial neural networks white boxes?
IEEE Trans. Neural Networks
Eyal Kolman, Michael Margaliot
2005 J jnl
How does the
Fuzzy Sets Syst.
Eviatar Tron, Michael Margaliot
2005 Misc conf
Knowledge Extraction from Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem.
IWANN
Eyal Kolman, Michael Margaliot
2005 — conf
Third-Order Nilpotency, Finite Switchings and Asymptotic Stability.
CDC/ECC
Yoav Sharon, Michael Margaliot
2004 — conf
A Lie-algebraic condition for stability of switched nonlinear systems.
CDC
Michael Margaliot, Daniel Liberzon
2004 J jnl
Fuzzy control of a benchmark problem: a computing with words approach.
IEEE Trans. Fuzzy Syst.
Michael Margaliot, Gideon Langholz
2004 J jnl
Mathematical modeling of observed natural behavior: a fuzzy logic approach.
Fuzzy Sets Syst.
Eviatar Tron, Michael Margaliot
2004 J jnl
The problem of absolute stability: a dynamic programming approach.
Autom.
Michael Margaliot, Rabin Gitizadeh
2003 J jnl
A new approach to fuzzy modeling and control of discrete-time systems.
IEEE Trans. Fuzzy Syst.
Michael Margaliot, Gideon Langholz
2003 B conf
Modeling observed natural behavior using fuzzy logic.
FUZZ-IEEE
Eviatar Tron, Michael Margaliot
2002 J jnl
Stability Analysis of Second-Order Switched Homogeneous Systems.
SIAM J. Control. Optim.
David Holcman, Michael Margaliot
2001 B conf
Hyperbolic Approach to Fuzzy Control Is Optimal.
FUZZ-IEEE
Hung T. Nguyen, Vladik Kreinovich, Michael Margaliot, Gideon Langholz
2000 — book
New Approaches to Fuzzy Modeling and Control - Design and Analysis
Michael Margaliot, Gideon Langholz
2000 J jnl
The Routh-Hurwitz array and realization of characteristic polynomials.
IEEE Trans. Autom. Control.
Michael Margaliot, Gideon Langholz
1999 B conf
Design and analysis of fuzzy schedulers using fuzzy Lyapunov synthesis.
KES
Michael Margaliot, Gideon Langholz
1999 J jnl
Fuzzy Lyapunov-based approach to the design of fuzzy controllers.
Fuzzy Sets Syst.
Michael Margaliot, Gideon Langholz
1999 J jnl
Hyperbolic optimal control and fuzzy control.
IEEE Trans. Syst. Man Cybern. Part A
Michael Margaliot, Gideon Langholz
1995 — ch.
Approximation of Smooth Surfaces and Adaptive Sampling by Piecewise-linear Interpolants.
Computer Graphics
Michael Margaliot, Craig Gotsman
1994 A conf
Piecewise-Linear Surface Approximation From Noisy Scattered Samples.
IEEE Visualization
Michael Margaliot, Craig Gotsman