DOI: 10.57760/sciencedb.00884
title: The tracking error curves of nodes subsystem, outgoing links subsystem and their norm
title: The tracking error curves of nodes subsystem, outgoing links subsystem and their norm

description: Compare the control performance of controllers in the system by analyzing the tracking error curves of the node subsystem and the outgoing links subsystemDevices and tools: Windows10(Intel i7, 1.80GHz, 8G) and MATLAB R2016a2.mat denotes (a) The tracking error curves of nodes subsystem with the control scheme in [1]; (b) The tracking error curves of nodes subsystem with the control scheme in [2]; (c) The tracking error curves of nodes subsystem with the control scheme in [3]; (d) The tracking error curves of nodes subsystem with the control scheme in this paper, respectively.3.mat denotes (a) The tracking error curves outgoing links subsystem with the control scheme in [1]; (b) The tracking error curves outgoing links subsystem with the control scheme in [2]; (c) The tracking error curves outgoing links subsystem with the control scheme in [3]; (d) The tracking error curves outgoing links subsystem with the control scheme in this paper, respectively.4.mat denotes (a) The curves of tracking error norm of nodes subsystem with the control schemes in [1-3] and this paper; (b) The curves of tracking error norm of outgoing links subsystem with the control scheme in [1-3] and this paper, respectively.nonlinear.m denotes the main program for drawing pictures.References[1]. Gao Z, Wang Y, Xiong J, et al. Robust state observer design for dynamic connection relationships in complex dynamical networks[J]. International Journal of Control, Automation, and Systems, 2019, 17(2): 336-344.[2]. Gao Z, Xiong J, Zhong J, et al. Adaptive State Observer Design for Dynamic Links in Complex Dynamical Networks[J]. Computational Intelligence and Neuroscience, 2020, 2020.[3]. Gao Z, Wang Y, Xiong J, et al. Structural balance control of complex dynamical networks based on state observer for dynamic connection relationships[J]. Complexity, 2020, 2020.
description: Compare the control performance of controllers in the system by analyzing the tracking error curves of the node subsystem and the outgoing links subsystemDevices and tools: Windows10(Intel i7, 1.80GHz, 8G) and MATLAB R2016a2.mat denotes (a) The tracking error curves of nodes subsystem with the control scheme in [1]; (b) The tracking error curves of nodes subsystem with the control scheme in [2]; (c) The tracking error curves of nodes subsystem with the control scheme in [3]; (d) The tracking error curves of nodes subsystem with the control scheme in this paper, respectively.3.mat denotes (a) The tracking error curves outgoing links subsystem with the control scheme in [1]; (b) The tracking error curves outgoing links subsystem with the control scheme in [2]; (c) The tracking error curves outgoing links subsystem with the control scheme in [3]; (d) The tracking error curves outgoing links subsystem with the control scheme in this paper, respectively.4.mat denotes (a) The curves of tracking error norm of nodes subsystem with the control schemes in [1-3] and this paper; (b) The curves of tracking error norm of outgoing links subsystem with the control scheme in [1-3] and this paper, respectively.nonlinear.m denotes the main program for drawing pictures.References[1]. Gao Z, Wang Y, Xiong J, et al. Robust state observer design for dynamic connection relationships in complex dynamical networks[J]. International Journal of Control, Automation, and Systems, 2019, 17(2): 336-344.[2]. Gao Z, Xiong J, Zhong J, et al. Adaptive State Observer Design for Dynamic Links in Complex Dynamical Networks[J]. Computational Intelligence and Neuroscience, 2020, 2020.[3]. Gao Z, Wang Y, Xiong J, et al. Structural balance control of complex dynamical networks based on state observer for dynamic connection relationships[J]. Complexity, 2020, 2020.