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2020 – today
- 2024
[j73]Ron Ofir, Alexander I. Ovseevich, Michael Margaliot
:
Contraction and k-contraction in Lurie systems with applications to networked systems. Autom. 159: 111341 (2024)- [j72]Ron Ofir, Michael Margaliot:
The k-compound of a difference-algebraic system. Autom. 159: 111387 (2024) - [j71]Ron Teichner, Ron Meir, Michael Margaliot:
Analysis of the Identifying Regulation With Adversarial Surrogates Algorithm. IEEE Control. Syst. Lett. 8: 592-597 (2024) - [j70]Rami Katz, Thomas Kriecherbauer, Lars Grüne, Michael Margaliot:
On the Gain of Entrainment in a Class of Weakly Contractive Bilinear Control Systems. SIAM J. Control. Optim. 62(5): 2723-2749 (2024) - [j69]Omri Dalin, Ron Ofir, Eyal Bar-Shalom, Alexander I. Ovseevich, Francesco Bullo, Michael Margaliot:
Verifying $k$-Contraction Without Computing $k$-Compounds. IEEE Trans. Autom. Control. 69(3): 1492-1506 (2024) - [j68]Omri Dalin, Alexander I. Ovseevich, Michael Margaliot:
On Special Quadratic Lyapunov Functions for Linear Dynamical Systems With an Invariant Cone. IEEE Trans. Autom. Control. 69(9): 6435-6441 (2024) - [i14]Ron Teichner, Ron Meir, Michael Margaliot:
Analysis of the Identifying Regulation with Adversarial Surrogates Algorithm. CoRR abs/2405.02953 (2024) - [i13]Ron Ofir, Francesco Bullo, Michael Margaliot:
A sufficient condition for 2-contraction of a feedback interconnection. CoRR abs/2408.12790 (2024) - 2023
- [j67]Eyal Bar-Shalom, Omri Dalin, Michael Margaliot:
Compound matrices in systems and control theory: a tutorial. Math. Control. Signals Syst. 35(3): 467-521 (2023) - [i12]Ron Ofir, Pietro Lorenzetti, Michael Margaliot:
On singularly perturbed systems that are monotone with respect to a matrix cone of rank k. CoRR abs/2303.11970 (2023) - [i11]Ron Ofir, Jean-Jacques E. Slotine, Michael Margaliot:
k-Contraction in a Generalized Lurie System. CoRR abs/2309.07514 (2023) - 2022
- [j66]Chengshuai Wu, Ilya Kanevskiy, Michael Margaliot:
k-contraction: Theory and applications. Autom. 136: 110048 (2022) - [j65]Ron Ofir, Francesco Bullo, Michael Margaliot:
Minimum Effort Decentralized Control Design for Contracting Network Systems. IEEE Control. Syst. Lett. 6: 2731-2736 (2022) - [j64]Chengshuai Wu, Michael Margaliot:
Diagonal Stability of Discrete-Time $k$-Positive Linear Systems With Applications to Nonlinear Systems. IEEE Trans. Autom. Control. 67(8): 4308-4313 (2022) - [j63]Chengshuai Wu, Raz Pines, Michael Margaliot, Jean-Jacques E. Slotine:
Generalization of the Multiplicative and Additive Compounds of Square Matrices and Contraction Theory in the Hausdorff Dimension. IEEE Trans. Autom. Control. 67(9): 4629-4644 (2022) - [j62]Ron Ofir, Michael Margaliot, Yoash Levron, Jean-Jacques E. Slotine:
A Sufficient Condition for $k$-Contraction of the Series Connection of Two Systems. IEEE Trans. Autom. Control. 67(9): 4994-5001 (2022) - [i10]Ron Ofir, Thomas Kriecherbauer, Lars Grüne, Michael Margaliot:
On the gain of entrainment in the n-dimensional ribosome flow model. CoRR abs/2210.10404 (2022) - [i9]Ron Ofir, Alexander I. Ovseevich, Michael Margaliot:
A sufficient condition for k-contraction in Lurie systems. CoRR abs/2211.05696 (2022) - [i8]Ron Ofir, Alexander I. Ovseevich, Michael Margaliot:
Contraction and k-contraction in Lurie systems with applications to networked systems. CoRR abs/2212.13440 (2022) - 2021
- [j61]Eyal Weiss, Michael Margaliot:
A generalization of linear positive systems with applications to nonlinear systems: Invariant sets and the Poincaré-Bendixson property. Autom. 123: 109358 (2021) - [j60]Eyal Weiss, Michael Margaliot:
Is My System of ODEs k-Cooperative? IEEE Control. Syst. Lett. 5(1): 73-78 (2021) - [j59]Lars Grüne, Thomas Kriecherbauer, Michael Margaliot:
Random Attraction in the TASEP Model. SIAM J. Appl. Dyn. Syst. 20(1): 65-93 (2021) - [j58]Rola Alseidi, Michael Margaliot, Jürgen Garloff:
Discrete-Time $k$-Positive Linear Systems. IEEE Trans. Autom. Control. 66(1): 399-405 (2021) - [c31]Chengshuai Wu, Lars Grüne, Thomas Kriecherbauer, Michael Margaliot:
Behavior of Totally Positive Differential Systems Near a Periodic Solution. CDC 2021: 3160-3165 - [c30]Ron Ofir, Michael Margaliot, Yoash Levron, Jean-Jacques E. Slotine:
Serial interconnections of 1-contracting and 2-contracting systems. CDC 2021: 3906-3911 - [c29]Eyal Bar-Shalom, Michael Margaliot:
Compound matrices in systems and control theory. CDC 2021: 5802-5807 - [i7]Ron Ofir, Michael Margaliot:
The Multiplicative Compound of a Matrix Pencil with Applications to Difference-Algebraic Equations. CoRR abs/2111.01419 (2021) - 2020
- [j57]Rami Katz, Michael Margaliot, Emilia Fridman:
Entrainment to subharmonic trajectories in oscillatory discrete-time systems. Autom. 116: 108919 (2020) - [j56]Eyal Bar-Shalom, Alexander I. Ovseevich, Michael Margaliot:
Ribosome Flow Model with Different Site Sizes. SIAM J. Appl. Dyn. Syst. 19(1): 541-576 (2020) - [j55]Tsuff Ben Avraham, Guy Sharon, Yoram Zarai, Michael Margaliot:
Dynamical Systems With a Cyclic Sign Variation Diminishing Property. IEEE Trans. Autom. Control. 65(3): 941-954 (2020)
2010 – 2019
- 2019
- [j54]Michael Margaliot, Eduardo D. Sontag:
Revisiting totally positive differential systems: A tutorial and new results. Autom. 101: 1-14 (2019) - [j53]Eyal Weiss, Michael Margaliot:
Output Selection and Observer Design for Boolean Control Networks: A Sub-Optimal Polynomial-Complexity Algorithm. IEEE Control. Syst. Lett. 3(1): 210-215 (2019) - [j52]Mahdiar Sadeghi, Muhammad Ali Al-Radhawi, Michael Margaliot, Eduardo D. Sontag:
No Switching Policy Is Optimal for a Positive Linear System With a Bottleneck Entrance. IEEE Control. Syst. Lett. 3(4): 889-894 (2019) - [j51]Samuel Coogan, Michael Margaliot:
Approximating the Steady-State Periodic Solutions of Contractive Systems. IEEE Trans. Autom. Control. 64(2): 847-853 (2019) - [j50]Eyal Weiss, Michael Margaliot:
A Polynomial-Time Algorithm for Solving the Minimal Observability Problem in Conjunctive Boolean Networks. IEEE Trans. Autom. Control. 64(7): 2727-2736 (2019) - [c28]Eyal Bar-Shalom, Alexander I. Ovseevich, Michael Margaliot:
Ribosome flow model with nonhomogeneous site sizes. CDC 2019: 25-30 - [c27]Eyal Weiss, Michael Margaliot:
A Generalization of Linear Positive Systems. MED 2019: 340-345 - [c26]Rami Katz, Michael Margaliot, Emilia Fridman:
On Totally Positive Discrete- Time Systems. MED 2019: 434-438 - [i6]Eyal Weiss, Michael Margaliot:
A Generalization of Linear Positive Systems. CoRR abs/1902.01630 (2019) - 2018
- [j49]Eyal Weiss, Michael Margaliot, Guy Even:
Minimal controllability of conjunctive Boolean networks is NP-complete. Autom. 92: 56-62 (2018) - [j48]Yoram Zarai, Michael Margaliot, Eduardo D. Sontag, Tamir Tuller:
Controllability Analysis and Control Synthesis for the Ribosome Flow Model. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1351-1364 (2018) - [c25]Eyal Weiss, Michael Margaliot:
A Generalization of Smillie's Theorem on Strongly Cooperative Tridiagonal Systems. CDC 2018: 3080-3085 - [c24]Michael Margaliot, Eduardo D. Sontag:
Analysis of Nonlinear Tridiagonal Cooperative Systems using Totally Positive Linear Differential Systems. CDC 2018: 3104-3109 - [i5]Eyal Weiss, Michael Margaliot:
A Generalization of Smillie's Theorem on Strongly Cooperative Tridiagonal Systems. CoRR abs/1810.09732 (2018) - 2017
- [j47]Yoram Zarai, Michael Margaliot:
On Minimizing the Maximal Characteristic Frequency of a Linear Chain. IEEE Trans. Autom. Control. 62(9): 4827-4833 (2017) - [j46]Meir Botner, Yoram Zarai, Michael Margaliot, Lars Grüne:
On Approximating Contractive Systems. IEEE Trans. Autom. Control. 62(12): 6451-6457 (2017) - [c23]Michael Margaliot, Samuel Coogan:
Approximating periodic trajectories of contractive systems. CDC 2017: 583-588 - [i4]Michael Margaliot, Samuel Coogan:
Approximating the Frequency Response of Contractive Systems. CoRR abs/1702.06576 (2017) - [i3]Eyal Weiss, Michael Margaliot, Guy Even:
Minimal Controllability of Conjunctive Boolean Networks is NP-Complete. CoRR abs/1704.07291 (2017) - [i2]Eyal Weiss, Michael Margaliot:
A Polynomial-Time Algorithm for Solving the Minimal Observability Problem in Conjunctive Boolean Networks. CoRR abs/1706.04072 (2017) - 2016
- [j45]Michael Margaliot, Eduardo D. Sontag, Tamir Tuller:
Contraction after small transients. Autom. 67: 178-184 (2016) - [c22]Yoram Zarai, Michael Margaliot, Eduardo D. Sontag, Tamir Tuller:
Controlling the ribosomal density profile in mRNA translation. CDC 2016: 4184-4189 - 2015
- [j44]Alon Raveh, Yoram Zarai, Michael Margaliot, Tamir Tuller:
Ribosome Flow Model on a Ring. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1429-1439 (2015) - [c21]Yoram Zarai, Oz Mendel, Michael Margaliot:
Analyzing Linear Communication Networks Using the Ribosome Flow Model. CIT/IUCC/DASC/PICom 2015: 755-761 - [p2]Shahaf Duenyas, Michael Margaliot:
Knowledge Extraction from Support Vector Machines: A Fuzzy Logic Approach. Fifty Years of Fuzzy Logic and its Applications 2015: 361-385 - [i1]Yoram Zarai, Oz Mendel, Michael Margaliot:
Analyzing Linear Communication Networks using the Ribosome Flow Model. CoRR abs/1508.06038 (2015) - 2014
- [j43]Dmitriy Laschov, Michael Margaliot:
On Boolean control networks with maximal topological entropy. Autom. 50(11): 2924-2928 (2014) - [j42]Yoram Zarai, Michael Margaliot, Tamir Tuller:
Maximizing Protein Translation Rate in the Ribosome Flow Model: The Homogeneous Case. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 1184-1195 (2014) - [c20]Valery Y. Glizer, Yuri Feigin, Emilia Fridman, Michael Margaliot:
A new approach to exact slow-fast decomposition of singularly perturbed linear systems with small delays. CDC 2014: 451-456 - [c19]Eduardo D. Sontag, Michael Margaliot, Tamir Tuller:
On three generalizations of contraction. CDC 2014: 1539-1544 - [c18]Dmitriy Laschov, Michael Margaliot:
Minimum-time control of Boolean networks: An algebraic approach. CDC 2014: 1545-1550 - 2013
- [j41]Dmitriy Laschov, Michael Margaliot, Guy Even:
Observability of Boolean networks: A graph-theoretic approach. Autom. 49(8): 2351-2362 (2013) - [j40]Gal Hochma, Michael Margaliot, Ettore Fornasini, Maria Elena Valcher:
Symbolic dynamics of Boolean control networks. Autom. 49(8): 2525-2530 (2013) - [j39]Michael Margaliot, Alex Ruderman, Boris Reznikov:
Mathematical analysis of a flying capacitor converter: a sampled-data modeling approach. Int. J. Circuit Theory Appl. 41(7): 682-700 (2013) - [j38]Dmitriy Laschov, Michael Margaliot:
Minimum-Time Control of Boolean Networks. SIAM J. Control. Optim. 51(4): 2869-2892 (2013) - [j37]Yoram Zarai, Michael Margaliot, Tamir Tuller:
Explicit Expression for the Steady-State Translation Rate in the Infinite-Dimensional Homogeneous Ribosome Flow Model. IEEE ACM Trans. Comput. Biol. Bioinform. 10(5): 1322-1328 (2013) - [c17]Gal Hochma, Michael Margaliot:
Stability analysis of positive bilinear control systems: A variational approach. CDC 2013: 1355-1359 - [c16]Orel Ron, Michael Margaliot:
Optimal switching between two linear consensus protocols. CDC 2013: 1372-1377 - 2012
- [j36]Ron Teichner, Michael Margaliot:
Explicit construction of a Barabanov norm for a class of positive planar discrete-time linear switched systems. Autom. 48(1): 95-101 (2012) - [j35]Dmitriy Laschov, Michael Margaliot:
Controllability of Boolean control networks via the Perron-Frobenius theory. Autom. 48(6): 1218-1223 (2012) - [j34]Lior Fainshil, Michael Margaliot:
A Maximum Principle for the Stability Analysis of Positive Bilinear Control Systems with Applications to Positive Linear Switched Systems. SIAM J. Control. Optim. 50(4): 2193-2215 (2012) - [j33]Michael Margaliot, Tamir Tuller:
Stability Analysis of the Ribosome Flow Model. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1545-1552 (2012) - [j32]Michael Margaliot, Tamir Tuller:
On the Steady-State Distribution in the Homogeneous Ribosome Flow Model. IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1724-1736 (2012) - [c15]Tal Monovich Wahrmann, Michael Margaliot:
Nice-reachability results for discrete-time linear switched systems with applications to stability under arbitrary switching laws. CDC 2012: 693-698 - 2011
- [j31]Tal Monovich, Michael Margaliot:
A second-order maximum principle for discrete-time bilinear control systems with applications to discrete-time linear switched systems. Autom. 47(7): 1489-1495 (2011) - [j30]Tal Monovich, Michael Margaliot:
Analysis of Discrete-Time Linear Switched Systems: A Variational Approach. SIAM J. Control. Optim. 49(2): 808-829 (2011) - [j29]Dmitriy Laschov, Michael Margaliot:
A Maximum Principle for Single-Input Boolean Control Networks. IEEE Trans. Autom. Control. 56(4): 913-917 (2011) - [c14]Shahaf Duenyas, Michael Margaliot:
Knowledge extraction from a class of support vector machines using the fuzzy all-permutations rule-base. CCMB 2011: 59-65 - 2010
- [j28]Ido Roth, Michael Margaliot:
Analysis of artificial neural network learning near temporary minima: A fuzzy logic approach. Fuzzy Sets Syst. 161(19): 2569-2584 (2010) - [j27]Irad Ratmansky, Michael Margaliot:
A simplification of the Agrachev-Gamkrelidze second-order variation for bang-bang controls. Syst. Control. Lett. 59(1): 25-32 (2010) - [j26]Michael Margaliot, George Weiss:
The Low-Frequency Distortion in D-Class Amplifiers. IEEE Trans. Circuits Syst. II Express Briefs 57-II(10): 772-776 (2010)
2000 – 2009
- 2009
- [b2]Eyal Kolman, Michael Margaliot:
Knowledge-Based Neurocomputing: A Fuzzy Logic Approach. Studies in Fuzziness and Soft Computing 234, Springer 2009, ISBN 978-3-540-88076-9, pp. 1-81 [contents] - [j25]Eyal Kolman, Michael Margaliot:
Extracting symbolic knowledge from recurrent neural networks - A fuzzy logic approach. Fuzzy Sets Syst. 160(2): 145-161 (2009) - [j24]Michael Margaliot:
On the analysis of nonlinear nilpotent switched systems using the Hall-Sussmann system. Syst. Control. Lett. 58(10-11): 766-772 (2009) - [j23]Lior Fainshil, Michael Margaliot, Pavel Chigansky:
On the Stability of Positive Linear Switched Systems Under Arbitrary Switching Laws. IEEE Trans. Autom. Control. 54(4): 897-899 (2009) - [j22]Michael Margaliot, Michael S. Branicky:
Nice Reachability for Planar Bilinear Control Systems With Applications to Planar Linear Switched Systems. IEEE Trans. Autom. Control. 54(4): 900-905 (2009) - [j21]Michael Margaliot, Michael S. Branicky:
Nice Reachability for Planar Bilinear Control Systems With Applications to Planar Linear Switched Systems. IEEE Trans. Autom. Control. 54(6): 1430-1435 (2009) - [c13]Ido Roth, Michael Margaliot:
Improving Training in the Vicinity of Temporary Minima. IWANN (1) 2009: 131-139 - 2008
- [j20]Michael Margaliot, João Pedro Hespanha:
Root-mean-square gains of switched linear systems: A variational approach. Autom. 44(9): 2398-2402 (2008) - [j19]Michael Margaliot:
Biomimicry and Fuzzy Modeling: A Match Made in Heaven. IEEE Comput. Intell. Mag. 3(3): 38-48 (2008) - [j18]Eyal Kolman, Michael Margaliot:
A New Approach to Knowledge-Based Design of Recurrent Neural Networks. IEEE Trans. Neural Networks 19(8): 1389-1401 (2008) - 2007
- [j17]Valeri Rozin, Michael Margaliot:
The Fuzzy Ant. IEEE Comput. Intell. Mag. 2(4): 18-28 (2007) - [j16]Iosef Rashkovsky, Michael Margaliot:
Nicholson's blowflies revisited: A fuzzy modeling approach. Fuzzy Sets Syst. 158(10): 1083-1096 (2007) - [j15]Michael Margaliot:
A Counterexample to a Conjecture of Gurvits on Switched Systems. IEEE Trans. Autom. Control. 52(6): 1123-1126 (2007) - [j14]Eyal Kolman, Michael Margaliot:
Knowledge Extraction From Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem. IEEE Trans. Neural Networks 18(3): 925-931 (2007) - [c12]Michael Margaliot, João P. Hespanha:
Root-mean-square gains of switched linear systems: A variational approach. CDC 2007: 3221-3226 - 2006
- [j13]Michael Margaliot, Christos A. Yfoulis:
Absolute stability of third-order systems: A numerical algorithm. Autom. 42(10): 1705-1711 (2006) - [j12]Michael Margaliot:
Stability analysis of switched systems using variational principles: An introduction. Autom. 42(12): 2059-2077 (2006) - [j11]Michael Margaliot, Daniel Liberzon:
Lie-algebraic stability conditions for nonlinear switched systems and differential inclusions. Syst. Control. Lett. 55(1): 8-16 (2006) - [c11]Michael Margaliot:
A Counter Example to a Conjecture of Gurvits on Switched Systems. CDC 2006: 4117-4120 - [c10]Valeri Rozin, Michael Margaliot:
The Fuzzy Ant. FUZZ-IEEE 2006: 1679-1686 - [c9]Iosef Rashkovsky, Michael Margaliot:
Nicholson's blowflies revisited: a fuzzy modeling approach. FUZZ-IEEE 2006: 2421-2428 - 2005
- [j10]Eviatar Tron, Michael Margaliot:
How does the Dendrocoleum lacteum orient to light? A fuzzy modeling approach. Fuzzy Sets Syst. 155(2): 236-251 (2005) - [j9]Eyal Kolman, Michael Margaliot:
Are artificial neural networks white boxes? IEEE Trans. Neural Networks 16(4): 844-852 (2005) - [c8]Yoav Sharon, Michael Margaliot:
Third-Order Nilpotency, Finite Switchings and Asymptotic Stability. CDC/ECC 2005: 5415-5420 - [c7]Michael Margaliot, Christos A. Yfoulis:
A Numerical Algorithm for Solving the Absolute Stability Problem in R3. CDC/ECC 2005: 7009-7013 - [c6]Eyal Kolman, Michael Margaliot:
Knowledge Extraction from Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem. IWANN 2005: 1222-1229 - 2004
- [j8]Michael Margaliot, Rabin Gitizadeh:
The problem of absolute stability: a dynamic programming approach. Autom. 40(7): 1247-1252 (2004) - [j7]Eviatar Tron, Michael Margaliot:
Mathematical modeling of observed natural behavior: a fuzzy logic approach. Fuzzy Sets Syst. 146(3): 437-450 (2004) - [j6]Michael Margaliot, Gideon Langholz:
Fuzzy control of a benchmark problem: a computing with words approach. IEEE Trans. Fuzzy Syst. 12(2): 230-235 (2004) - [c5]Michael Margaliot, Daniel Liberzon:
A Lie-algebraic condition for stability of switched nonlinear systems. CDC 2004: 4619-4624 - 2003
- [j5]Michael Margaliot, Gideon Langholz:
A new approach to fuzzy modeling and control of discrete-time systems. IEEE Trans. Fuzzy Syst. 11(4): 486-494 (2003) - [c4]Eviatar Tron, Michael Margaliot:
Modeling observed natural behavior using fuzzy logic. FUZZ-IEEE 2003: 74-78 - 2002
- [j4]David Holcman, Michael Margaliot:
Stability Analysis of Second-Order Switched Homogeneous Systems. SIAM J. Control. Optim. 41(5): 1609-1625 (2002) - 2001
- [c3]Hung T. Nguyen, Vladik Kreinovich, Michael Margaliot, Gideon Langholz:
Hyperbolic Approach to Fuzzy Control Is Optimal. FUZZ-IEEE 2001: 888-891 - 2000
- [b1]Michael Margaliot, Gideon Langholz:
New Approaches to Fuzzy Modeling and Control - Design and Analysis. Series in Machine Perception and Artificial Intelligence 38, WorldScientific 2000, ISBN 978-981-02-4334-0, pp. 1-200 - [j3]Michael Margaliot, Gideon Langholz:
The Routh-Hurwitz array and realization of characteristic polynomials. IEEE Trans. Autom. Control. 45(12): 2424-2427 (2000)
1990 – 1999
- 1999
- [j2]Michael Margaliot, Gideon Langholz:
Fuzzy Lyapunov-based approach to the design of fuzzy controllers. Fuzzy Sets Syst. 106(1): 49-59 (1999) - [j1]Michael Margaliot, Gideon Langholz:
Hyperbolic optimal control and fuzzy control. IEEE Trans. Syst. Man Cybern. Part A 29(1): 1-10 (1999) - [c2]Michael Margaliot, Gideon Langholz:
Design and analysis of fuzzy schedulers using fuzzy Lyapunov synthesis. KES 1999: 207-211 - 1995
- [p1]Michael Margaliot, Craig Gotsman:
Approximation of Smooth Surfaces and Adaptive Sampling by Piecewise-linear Interpolants. Computer Graphics 1995: 17-27 - 1994
- [c1]Michael Margaliot, Craig Gotsman:
Piecewise-Linear Surface Approximation From Noisy Scattered Samples. IEEE Visualization 1994: 61-68
Coauthor Index
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