Abstract
We describe certain classes of linear asynchronous multi-agent systems in discrete time for which the stability problem allows for a constructive solution. We also present a general analytic approach to constructing numerical characteristics similar to the generalized spectral radius in stability theory, which would provide an opportunity to analyze the stabilizability of controlled multi-agent systems. This work completes our survey “Consensus in Asynchronous Multi-Agent Systems,” whose first two parts have been published in [1, 2].
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Kozyakin, V.S., Kuznetsov, N.A., and Chebotarev, P.Yu., Consensus in Asynchronous Multiagent Systems. I, Autom. Remote Control, 2019, vol. 80, no. 4, pp. 593–623.
Kozyakin, V.S., Kuznetsov, N.A., and Chebotarev, P.Yu., Consensus in Asynchronous Multiagent Systems. II, Autom. Remote Control, 2019, vol. 80, no. 5, pp. 791–813.
Kozyakin, V., An Annotated Bibliography on Convergence of Matrix Products and the Theory of Joint/Generalized Spectral Radius, Preprint, Moscow: Inst. Inform. Transmis. Probl., 2013. DOI: https://doi.org/10.13140/RG.2.1.4257.5040/1.
Gantmakher, F.R., Teoriya matrits (Theory of Matrices), Moscow: Nauka, 1967.
Horn, R.A. and Johnson, C.R., Matrix Analysis, Cambridge: Cambridge Univ. Press, 1985. Translated under the title Matrichnyi analiz, Moscow: Mir, 1989.
Kozyakin, V.S., Algebraic Unsolvability of Problem of Absolute Stability of Desynchronized Systems, Autom. Remote Control, 1990, vol. 51, no. 6, pp. 754–759.
Blondel, V.D. and Tsitsiklis, J.N., When is a Pair of Matrices Mortal?, Inform. Process. Lett., 1997, vol. 63, no. 5, pp. 283–286. DOI: https://doi.org/10.1016/S0020-0190(97)00123-3
Tsitsiklis, J.N. and Blondel, V.D., The Lyapunov Exponent and Joint Spectral Radius of Pairs of Matrices Are Hard—When Not Impossible—to Compute and to Approximate, Math. Control Signals Syst., 1997, vol. 10, no. 1, pp. 31–40. DOI: https://doi.org/10.1007/BF01219774
Tsitsiklis, J.N. and Blondel, V.D., Lyapunov Exponents of Pairs of Matrices. A Correction: “The Lyapunov Exponent and Joint Spectral Radius of Pairs of Matrices Are Hard—When Not Impossible—to Compute and to Approximate,” Math. Control Signals Syst., 1997, vol. 10, no. 4, pp. 381. DOI: https://doi.org/10.1007/BF01211553
Blondel, V.D. and Tsitsiklis, J.N., The Boundedness of All Products of a Pair of Matrices Is Undecidable, Syst. Control Lett., 2000, vol. 41, no. 2, pp. 135–140. DOI: https://doi.org/10.1016/S0167-6911(00)00049-9
Jungers, R., The Joint Spectral Radius, vol. 385 of Lecture Notes in Control and Information Sciences, Berlin: Springer-Verlag, 2009. DOI: https://doi.org/10.1007/978-3-540-95980-9
Gripenberg, G., Computing the Joint Spectral Radius, Linear Algebra Appl., 1996, vol. 234, pp. 43–60. DOI: https://doi.org/10.1016/0024-3795(94)00082-4
Maesumi, M., Calculating the Spectral Radius of a Set of Matrices, in Wavelet Analysis and Multiresolution Methods (Urbana-Champaign, IL, 1999), New York: Dekker, 2000, vol. 212 of Lecture Notes Pure Appl. Math., pp. 255–272.
Blondel, V.D. and Nesterov, Yu., Computationally Efficient Approximations of the Joint Spectral Radius, SIAM J. Matrix Anal. Appl., 2005, vol. 27, no. 1, pp. 256–272 (electronic). DOI: https://doi.org/10.1137/040607009
Parrilo, P.A. and Jadbabaie, A., Approximation of the Joint Spectral Radius of a Set of Matrices Using Sum of Squares, Hybrid Systems: Computation and Control, Berlin: Springer, 2007, vol. 4416 of Lecture Notes Comput. Sci., pp. 444–458. DOI: https://doi.org/10.1007/978-3-540-71493-435
Guglielmi, N. and Zennaro, M., An Algorithm for Finding Extremal Polytope Norms of Matrix Families, Linear Algebra Appl., 2008, vol. 428, no. 10, pp. 2265–2282. DOI: https://doi.org/10.1016/j.laa.2007.07.009
Kozyakin, V., Iterative Building of Barabanov Norms and Computation of the Joint Spectral Radius for Matrix Sets, Discret. Contin. Dyn. Syst. Ser. B, 2010, vol. 14, no. 1, pp. 143–158. DOI: https://doi.org/10.3934/dcdsb.2010.14.143
Chang, C.-T. and Blondel, V., Approximating the Joint Spectral Radius Using a Genetic Algorithm Framework, Proc. 18 IFAC World Congr., IFAC, 2011, vol. 18, pp. 1, pp. 8681–8686.
Kozyakin, V., A Relaxation Scheme for Computation of the Joint Spectral Radius of Matrix Sets, J. Difference Equat. Appl., 2011, vol. 17, no. 2, pp. 185–201. DOI: https://doi.org/10.1080/10236198.2010.549008
Vankeerberghen, G., Hendrickx, J., Jungers, R., et al., The JSR Toolbox, MATLAB® Central, 2011. https://doi.org/www.mathworks.com/matlabcentral/fileexchange/33202-the-jsr-toolbox
Cicone, A. and Protasov, V., Joint Spectral Radius Computation, MATLAB® Central, 2012. https://doi.org/www.mathworks.com/matlabcentral/fileexchange/36460-joint-spectral-radius-computation
Ahmadi, A.A. and Jungers, R.M., Switched Stability of Nonlinear Systems via SOS-Convex Lyapunov Functions and Semidefinite Programming, Proc. 52. IEEE Ann. Conf. Decision. Control (CDC), 2013, pp. 727–732. DOI: https://doi.org/10.1109/CDC.2013.6759968
Bajovic, D., Xavier, J., Moura, J.M.F., and Sinopoli, B., Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability, IEEE Transact. Signal Proc., 2013, vol. 61, no. 10, pp. 2557–2571. DOI: https://doi.org/10.1109/TSP.2013.2248003
Chang, C.-T. and Blondel, V.D., An Experimental Study of Approximation Algorithms for the Joint Spectral Radius, Numer. Algorithms, 2013, vol. 64, no. 1, pp. 181–202. DOI: https://doi.org/10.1007/s11075-012-9661-z
Guglielmi, N. and Protasov, V., Exact Computation of Joint Spectral Characteristics of Linear Operators, Found. Comput. Math., 2013, vol. 13, no. 1, pp. 37–97. DOI: https://doi.org/10.1007/s10208-012-9121-0
Vankeerberghen, G., Hendrickx, J., and Jungers, R.M., JSR: A Toolbox to Compute the Joint Spectral Radius, Proc. 17. Int. Conf. Hybrid Syst.: Comput. Control, HSCC'14, New York: ACM, 2014, pp. 151–156. DOI: https://doi.org/10.1145/2562059.2562124
Chevalier, P.-Y., Hendrickx, J.M., and Jungers, R.M., Efficient Algorithms for the Consensus Decision Problem, SIAM J. Control Optim., 2015, vol. 53, no. 5, pp. 3104–3119. DOI: https://doi.org/10.1137/140988024
Protasov, V.Yu., Spectral Simplex Method, Math. Program., 2016, vol. 156, no. 1–2, Ser. A, pp. 485–511. DOI: https://doi.org/10.1007/s10107-015-0905-2
Kozyakin, V.S., Constructive Stability and Stabilizability of Positive Linear Discrete-Time Switching Systems, J. Commun. Technol. Electron., 2017, vol. 62, no. 6, pp. 686–693. DOI: https://doi.org/10.1134/S1064226917060110
Kleptsyn, A.F., Kozyakin, V.S., Krasnosel'skii, M.A., and Kuznetsov, N.A., Stability of Desynchronized Systems, Dokl. Akad. Nauk USSR, 1984, vol. 274, no. 5, pp. 1053–1056.
Barabanov, N.E., The Lyapunov Indicator of Discrete Inclusions. I–III, Autom. Remote Control, 1988, vol. 49, no. 2, pp. 152–157; no. 3, pp. 283–287; no. 5, pp. 558–565.
Kozyakin, V.S., Absolute Stability of Systems with Asynchronous Sampled-Data Elements, Autom. Remote Control, 1990, vol. 51, no. 10, pp. 1349–1355.
Gurvits, L., Stability of Discrete Linear Inclusion, Linear Algebra Appl., 1995, vol. 231, pp. 47–85. DOI: https://doi.org/10.1016/0024-3795(95)90006-3
Kozyakin, V., A Short Introduction to Asynchronous Systems, Proc. Sixth Int. Conf. Difference Equat., Boca Raton: CRC, 2004, pp. 153–165.
Shorten, R., Wirth, F., Mason, O., et al., Stability Criteria for Switched and Hybrid Systems, SIAM Rev., 2007, vol. 49, no. 4, pp. 545–592. DOI: https://doi.org/10.1137/05063516X
Lin, H. and Antsaklis, P.J., Stability and Stabilizability of Switched Linear Systems: A Survey of Recent Results, IEEE Trans. Automat. Control, 2009, vol. 54, no. 2, pp. 308–322. DOI: https://doi.org/10.1109/TAC.2008.2012009
Fornasini, E. and Valcher, M.E., Stability and Stabilizability Criteria for Discrete-Time Positive Switched Systems, IEEE Trans. Automat. Control, 2012, vol. 57, no. 5, pp. 1208–1221. DOI: https://doi.org/10.1109/TAC.2011.2173416
Rota, G.-C. and Strang, G., A Note on the Joint Spectral Radius, Nederl. Akad. Wetensch. Proc. Ser. A 63 = Indag. Math, 1960, vol. 22, pp. 379–381.
Theys, J., Joint Spectral Radius: Theory and Approximations, PhD Dissertation, Faculté des sciences appliquées, Département d'ingénierie mathématique, Center for Systems Engineering and Applied Mechanics., Université Catholique de Louvain, 2005. https://doi.org/dial.academielouvain.be/vital/access/manager/Repository/boreal:5161
Shen, J. and Hu, J., Stability of Discrete-Time Switched Homogeneous Systems on Cones and Conewise Homogeneous Inclusions, SIAM J. Control Optim., 2012, vol. 50, no. 4, pp. 2216–2253. DOI: https://doi.org/10.1137/110845215
Bochi, J. and Morris, I.D., Continuity Properties of the Lower Spectral Radius, Proc. Lond. Math. Soc. (3), 2015, vol. 110, no. 2, pp. 477–509. DOI: https://doi.org/10.1112/plms/pdu058
Czornik, A., On the Generalized Spectral Subradius, Linear Algebra Appl., 2005, vol. 407, pp. 242–248. DOI: https://doi.org/10.1016/j.laa.2005.05.006
Bousch, T. and Mairesse, J., Asymptotic Height Optimization for Topical IFS, Tetris Heaps, and the Finiteness Conjecture, J. Am. Math. Soc., 2002, vol. 15, no. 1, pp. 77–111 (electronic). DOI: https://doi.org/10.1090/S0894-0347-01-00378-2
Blondel, V.D., Theys, J., and Vladimirov, A.A., Switched Systems that are Periodically Stable may be Unstable, Proc. Sympos. MTNS, Notre-Dame, USA: 2002, https://doi.org/www.3.nd.edu/mtns/papers/10181.pdf
Kozyakin, V., A Dynamical Systems Construction of a Counterexample to the Finiteness Conjecture, Proc. 44 IEEE Conf. Decision Control, 2005 and 2005 Eur. Control Conf., CDC-ECC'05, 2005, pp. 2338–2343. DOI: https://doi.org/10.1109/CDC.2005.1582511
Czornik, A. and Jurgaś, P., Falseness of the Finiteness Property of the Spectral Subradius, Int. J. Appl. Math. Comput. Sci., 2007, vol. 17, no. 2, pp. 173–178. DOI: https://doi.org/10.2478/v10006-007-0016-1
Blondel, V.D. and Nesterov, Yu., Polynomial-Time Computation of the Joint Spectral Radius for Some Sets of Nonnegative Matrices, SIAM J. Matrix Anal. Appl., 2009, vol. 31, no. 3, pp. 865–876. DOI: https://doi.org/10.1137/080723764
Duffin, R.J., Topology of Series-Parallel Networks, J. Math. Anal. Appl., 1965, vol. 10, pp. 303–318. DOI: https://doi.org/10.1016/0022-247X(65)90125-3
Eppstein, D., Parallel Recognition of Series-Parallel Graphs, Inform. Comput., 1992, vol. 98, no. 1, pp. 41–55. DOI: https://doi.org/10.1016/0890-5401(92)90041-D
Dai, X., Robust Periodic Stability Implies Uniform Exponential Stability of Markovian Jump Linear Systems and Random Linear Ordinary Differential Equations, J. Franklin Inst., 2014, vol. 351, no. 5, pp. 2910–2937. DOI: https://doi.org/10.1016/j.jfranklin.2014.01.010
Kozyakin, V., The Berger-Wang Formula for the Markovian Joint Spectral Radius, Linear Algebra Appl., 2014, vol. 448, pp. 315–328. DOI: https://doi.org/10.1016/j.laa.2014.01.022
Kozyakin, V., Matrix Products with Constraints on the Sliding Block Relative Frequencies of Different Factors, Linear Algebra Appl., 2014, vol. 457, pp. 244–260. DOI: https://doi.org/10.1016/j.laa.2014.05.016
Shih, M.-H., Wu, J.-W., and Pang, C.-T., Asymptotic Stability and Generalized Gelfand Spectral Radius Formula, Linear Algebra Appl., 1997, vol. 252, pp. 61–70. DOI: https://doi.org/10.1016/0024-3795(95)00592-7
Daubechies, I. and Lagarias, J.C., Sets of Matrices All Infinite Products of Which Converge, Linear Algebra Appl., 1992, vol. 161, pp. 227–263. DOI: https://doi.org/10.1016/0024-3795(92)90012-Y
Daubechies, I. and Lagarias, J.C., Corrigendum/Addendum to: “Sets of Matrices All Infinite Products of Which Converge” [Linear Algebra Appl., vol. 161 (1992), pp. 227-263; MR1142737 (93f:15006)], Linear Algebra Appl., 2001, vol. 327, no. 1–3, pp. 69–83. DOI: https://doi.org/10.1016/S0024-3795(00)00314-1
Berger, M.A. and Wang, Y., Bounded Semigroups of Matrices, Linear Algebra Appl., 1992, vol. 166, pp. 21–27. DOI: https://doi.org/10.1016/0024-3795(92)90267-E
Katok, A.B. and Khassel'blat, B., Vvedenie v sovremennuyu teoriyu dinamicheskikh sistem (Introduction to the Modern Theory of Dynamical Systems), Moscow: Faktorial, 1999.
Kitchens, B.P., Symbolic Dynamics, Berlin: Springer-Verlag, 1998. DOI: https://doi.org/10.1007/978-3-642-58822-8
Fekete, M., Über die Verteilung der Wurzeln bei gewissen algebraischen Gleichungen mit ganzzahligen Koeffizienten, Math. Z, 1923, vol. 17, no. 1, pp. 228–249. DOI: https://doi.org/10.1007/BF01504345
Polya, G. and Szego, G., Problems and Theorems in Analysis I, New York: Springer-Verlag, 1972. Translated under the title Zadachi i teoremy iz analiza. I, Moscow: Nauka, 1978.
Elsner, L., The Generalized Spectral-Radius Theorem: An Analytic-Geometric Proof, Linear Algebra Appl., 1995, vol. 220, pp. 151–159, Proc. Workshop “Nonnegat. Matric., Appl. General.” and the Eighth Haifa Matrix Theory Conf. (Haifa, 1993). DOI: https://doi.org/10.1016/0024-3795(93)00320-Y
Bochi, J., Inequalities for Numerical Invariants of Sets of Matrices, Linear Algebra Appl., 2003, vol. 368, pp. 71–81. DOI: https://doi.org/10.1016/S0024-3795(02)00658-4
Dai, X., Extremal and Barabanov Semi-Norms of a Semigroup Generated by a Bounded Family of Matrices, J. Math. Anal. Appl., 2011, vol. 379, no. 2, pp. 827–833. DOI: https://doi.org/10.1016/j.jmaa.2010.12.059
Protasov, V., Applications of the Joint Spectral Radius to Some Problems of Functional Analysis, Probability and Combinatorics, Proc. 44. IEEE Conf. Decision. Control Eur. Control Conf. 2005, Seville, Spain, December 12–15, 2005, pp. 3025–3030.
Jungers, R.M., Protasov, V., and Blondel, V.D., Efficient Algorithms for Deciding the Type of Growth of Products of Integer Matrices, Linear Algebra Appl., 2008, vol. 428, no. 10, pp. 2296–2311. DOI: https://doi.org/10.1016/j.laa.2007.08.001
Guglielmi, N. and Zennaro, M., Stability of Linear Problems: Joint Spectral Radius of Sets of Matrices, Current Challeng. Stabil. Issues Numer. Differ. Equat., Springer, 2014, Lecture Notes. Math, pp. 265–313. DOI: https://doi.org/10.1007/978-3-319-01300-85
Dai, X., Huang, Y., and Xiao, M., Almost Sure Stability of Discrete-Time Switched Linear Systems: A Topological Point of View, SIAM J. Control Optim., 2008, vol. 47, no. 4, pp. 2137–2156. DOI: https://doi.org/10.1137/070699676
Dai, X., Huang, Y., and Xiao, M., Periodically Switched Stability Induces Exponential Stability of Discrete-Time Linear Switched Systems in the Sense of Markovian Probabilities, Automatica J. IFAC, 2011, vol. 47, no. 7, pp. 1512–1519. DOI: https://doi.org/10.1016/j.automatica.2011.02.034
MacKay, D.J.C., Information Theory, Inference and Learning Algorithms, New York: Cambridge Univer. Press, 2003. https://doi.org/www.inference.phy.cam.ac.uk/itprnn/book.pdf
Moision, B.E., Orlitsky, A., and Siegel, P.H., Bounds on the Rate of Codes Which Forbid Specified Difference Sequences, Global Telecom. Conf. GLOBECOM '99, Rio de Janeiro, 1999, vol. 1b, pp. 878–882.
Moision, B.E., Orlitsky, A., and Siegel, P.H., On Codes That Avoid Specified Differences, IEEE Trans. Inform. Theory, 2001, vol. 47, no. 1, pp. 433–442. DOI: https://doi.org/10.1109/18.904557
Immink, K.A.S., Codes for Mass Data Storage Systems, Eindhoven, The Netherlands: Shannon Foundation Publishers, 2004, 2nd ed. https://doi.org/www.exp-math.uni-essen.de/immink/pdf/codesformassdata2.pdf
Lind, D. and Marcus, B., An Introduction to Symbolic Dynamics and Coding, Cambridge: Cambridge Univ. Press, 1995. DOI: https://doi.org/10.1017/CBO9780511626302
Katok, A. and Hasselblatt, B., Introduction to the Modern Theory of Dynamical Systems, Cambridge: Cambridge Univer. Press, 1995, vol. 54 of Encyclop. Math. Appl.
Choi, Y. and Szpankowski, W., Pattern Matching in Constrained Sequences, Proc. IEEE Int. Sympos. Inform. Theory 2007 (ISIT), Nice, France, June 24–29, 2007, pp. 2606–2610. DOI: https://doi.org/10.1109/ISIT.2007.4557611
Ferenczi, S. and Monteil, T., Infinite Words with Uniform Frequencies, and Invariant Measures, Combinat., Automat. Number Theory, Cambridge: Cambridge Univ. Press, 2010, vol. 135 of Encyclop. Math. Appl., pp. 373–409. https://doi.org/www.lirmm.fr/monteil/papiers/fichiers/CANT-ch07.pdf
Kozyakin, V., Minimax Joint Spectral Radius and Stabilizability of Discrete-Time Linear Switching Control Systems, Discrete Contin. Dyn. Syst. Ser. B, 2018, vol. 22, no. 1531–3492_2017_11_206, p. 20, First online. DOI: https://doi.org/10.3934/dcdsb.2018277
Dai, X., A Gel'fand-Type Spectral-Radius Formula and Stability of Linear Constrained Switching Systems, Linear Algebra Appl., 2012, vol. 436, no. 5, pp. 1099–1113. DOI: https://doi.org/10.1016/j.laa.2011.07.029
Jungers, R.M., On Asymptotic Properties of Matrix Semigroups with an Invariant Cone, Linear Algebra Appl., 2012, vol. 437, no. 5, pp. 1205–1214. DOI: https://doi.org/10.1016/j.laa.2012.04.006
Dai, X., Huang, Y., and Xiao, M., Pointwise Stability of Descrete-Time Stationary Matrix-Valued Markovian Processes, IEEE Trans. Automat. Control, 2015, vol. 60, no. 7, pp. 1898–1903. DOI: https://doi.org/10.1109/TAC.2014.2361594
Jungers, R.M. and Mason, P., On Feedback Stabilization of Linear Switched Systems via Switching Signal Control, SIAM J. Control Optim., 2017, vol. 55, no. 2, pp. 1179–1198. DOI: https://doi.org/10.1137/15M1027802
Sun, Z. and Ge, S.S., Switched Linear Systems: Control and Design, Communications and Control Engineering, London: Springer, 2005.
Stanford, D.P. and Urbano, J.M., Some Convergence Properties of Matrix Sets, SIAM J. Matrix Anal. Appl., 1994, vol. 15, no. 4, pp. 1132–1140. DOI: https://doi.org/10.1137/S0895479892228213
Stanford, D.P., Stability for a Multi-Rate Sampled-Data System, SIAM J. Control Optim,, 1979, vol. 17, no. 3, pp. 390–399. DOI: https://doi.org/10.1137/0317029
Dai, X., Huang, Y., Liu, J., and Xiao, M., The Finite-Step Realizability of the Joint Spectral Radius of a Pair of d × d Matrices One of Which Being Rank-One, Linear Algebra Appl., 2012, vol. 437, no. 7, pp. 1548–1561. DOI: https://doi.org/10.1016/j.laa.2012.04.053
Dai, X., Some Criteria for Spectral Finiteness of a Finite Subset of the Real Matrix Space Rd×d, Linear Algebra Appl., 2013, vol. 438, no. 6, pp. 2717–2727. DOI: https://doi.org/10.1016/j.laa.2012.09.026
Asarin, E., Cervelle, J., Degorre, A., et al., Entropy Games and Matrix Multiplication Games, 33rd Sympos. Theoret. Aspect. Comput. Sci., (STACS 2016), Ollinger, N. and Vollmer H., Eds., vol. 47 of LIPIcs, Leibniz Int. Proc. Inform, Dagstuhl, Germany: Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2016, pp. 11:1–11:14. DOI: https://doi.org/10.4230/LIPIcs.STACS.2016.11
Bouyer, P., Markey, N., Randour, M., et al., Average-Energy Games, Acta Inform., 2016, July, pp. 1–37. DOI: https://doi.org/10.1007/s00236-016-0274-1
Kozyakin, V.S., Constructive Stability and Stabilizability for Positive Linear Switching Systems with Discrete Time, Inform. Prots., 2016, vol. 16, no. 2, pp. 194–206. www.jip.ru/2016/194-206-2016.pdf
Kozyakin, V., Minimax Theorem for the Spectral Radius of the Product of Non-Negative Matrices, Linear Multilinear Algebra, 2017, vol. 65, no. 11, pp. 2356–2365. DOI: https://doi.org/10.1080/03081087.2016.1273877
Heil, C. and Strang, G., Continuity of the Joint Spectral Radius: Application to Wavelets, Linear algebra for signal processing (Minneapolis, MN, 1992), New York: Springer, 1995, vol. 69 of IMA Vol. Math. Appl., pp. 51–61.
Wirth, F., The Generalized Spectral Radius and Extremal Norms, Linear Algebra Appl., 2002, vol. 342, pp. 17–40. DOI: https://doi.org/10.1016/S0024-3795(01)00446-3
Kozyakin, V., An Explicit Lipschitz Constant for the Joint Spectral Radius, Linear Algebra Appl., 2010, vol. 433, no. 1, pp. 12–18. DOI: https://doi.org/10.1016/j.laa.2010.01.028
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The work of the third author was supported by the Russian Science Foundation, project no. 19-19-00673 provided by the Trapeznikov Institute of Control Sciences of the RAS.
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Kozyakin, V.S., Kuznetsov, N.A. & Chebotarev, P.Y. Consensus in Asynchronous Multiagent Systems. III. Constructive Stability and Stabilizability. Autom Remote Control 80, 989–1015 (2019). https://doi.org/10.1134/S0005117919060018
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DOI: https://doi.org/10.1134/S0005117919060018