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A uniform approach to compare architectures in decentralized discrete-event systems Automatica (IF 6.4) Pub Date : 2024-04-16 Kagurazaka Ritsuka, Karen Rudie
Solutions to decentralized discrete-event systems problems are characterized by the way local decisions are fused to yield a global decision. A fusion rule is colloquially called an . Current approaches do not provide a direct way to compare existing architectures. Determining whether an architecture is more permissive than another architecture had relied on producing examples and on individual inspiration
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Dynamic dissipative characterisation of time-domain input–output negative imaginary systems Automatica (IF 6.4) Pub Date : 2024-04-08 Parijat Bhowmick, Alexander Lanzon
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Eigenvalue bounds for the Gramian operator of the heat equation Automatica (IF 6.4) Pub Date : 2024-04-04 Martin Lazar, Enrique Zuazua
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Distributed entropy-regularized multi-agent reinforcement learning with policy consensus Automatica (IF 6.4) Pub Date : 2024-04-04 Yifan Hu, Junjie Fu, Guanghui Wen, Yuezu Lv, Wei Ren
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Stability analysis of hybrid integrator-gain systems: A frequency-domain approach Automatica (IF 6.4) Pub Date : 2024-04-04 Sebastiaan van den Eijnden, Marcel Heertjes, Hendrik Nijmeijer, W.P.M.H. (Maurice) Heemels
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Control of multiconsensus in multi-agent systems based on eigenvector centrality Automatica (IF 6.4) Pub Date : 2024-04-04 Cinzia Tomaselli, Lucia Valentina Gambuzza, Francesco Sorrentino, Mattia Frasca
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Transient behavior of gossip opinion dynamics with community structure Automatica (IF 6.4) Pub Date : 2024-04-04 Yu Xing, Karl H. Johansson
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A dynamic controller synthesis methodology for negative imaginary systems using the internal model control principle Automatica (IF 6.4) Pub Date : 2024-04-04 Parijat Bhowmick, Suleiman Kurawa, Somasundar Kannan, Alexander Lanzon
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Matrix Pontryagin principle approach to controllability metrics maximization under sparsity constraints Automatica (IF 6.4) Pub Date : 2024-04-03 Takuya Ikeda, Tomofumi Ohtsuka, Kenji Kashima
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Joint learning of linear time-invariant dynamical systems Automatica (IF 6.4) Pub Date : 2024-04-03 Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
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A branch-and-bound based globally optimal solution to 2D multi-robot relative pose estimation problems Automatica (IF 6.4) Pub Date : 2024-04-02 Heng Wang, Xinyu Zhao, Shoudong Huang, Qing Li, Yiyang Liu
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A stability governor for constrained linear–quadratic MPC without terminal constraints Automatica (IF 6.4) Pub Date : 2024-04-02 Jordan Leung, Frank Permenter, Ilya V. Kolmanovsky
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Active fault diagnosis for stochastic systems subject to non-convex input constraints Automatica (IF 6.4) Pub Date : 2024-04-02 Yaqi Guo, Qinyuan Liu, Xiao He
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Active disturbance rejection control approach to the output tracking of PDEs with general disturbances: A new perspective Automatica (IF 6.4) Pub Date : 2024-04-02 Ren-Xi Zhao, Bao-Zhu Guo, Qing-Qing Hu
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Kernel-based identification using Lebesgue-sampled data Automatica (IF 6.4) Pub Date : 2024-04-01 Rodrigo A. González, Koen Tiels, Tom Oomen
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Modeling and contractivity of neural-synaptic networks with Hebbian learning Automatica (IF 6.4) Pub Date : 2024-04-01 Veronica Centorrino, Francesco Bullo, Giovanni Russo
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Liveness and deadlock-freeness verification and enforcement in bounded Petri nets using basis reachability graphs Automatica (IF 6.4) Pub Date : 2024-04-01 Chao Gu, Ziyue Ma, Zhiwu Li
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Neural operators of backstepping controller and observer gain functions for reaction–diffusion PDEs Automatica (IF 6.4) Pub Date : 2024-03-30 Miroslav Krstic, Luke Bhan, Yuanyuan Shi
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Data-driven robust iterative learning control of linear systems Automatica (IF 6.4) Pub Date : 2024-03-30 Zezhou Zhang, Qingze Zou
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On the verification of detectability for timed discrete event systems Automatica (IF 6.4) Pub Date : 2024-03-30 Weijie Dong, Kuize Zhang, Shaoyuan Li, Xiang Yin
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On the invariant factors and the minimal polynomial assignments of linear systems Automatica (IF 6.4) Pub Date : 2024-03-30 Bin Zhou, Huaiyuan Jiang
In this note, the invariant factors assignment and the minimal polynomial assignment problems for multiple-input linear systems are studied. It is found that for any invariant factors with the geometry multiplicity of each eigenvalue less than or equal to the number of the inputs, the invariant factors assignment problems are solvable if and only if the controllability indices set of the linear system
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Learning stability of partially observed switched linear systems Automatica (IF 6.4) Pub Date : 2024-03-30 Zheming Wang, Raphaël M. Jungers, Mihály Petreczky, Bo Chen, Li Yu
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Contract composition for dynamical control systems: Definition and verification using linear programming Automatica (IF 6.4) Pub Date : 2024-03-29 Miel Sharf, Bart Besselink, Karl Henrik Johansson
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Delay-adaptive compensation for 3-D formation control of leader-actuated multi-agent systems Automatica (IF 6.4) Pub Date : 2024-03-27 Shanshan Wang, Mamadou Diagne, Jie Qi
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Subsystem-importance-aware DoS attacks and countermeasures Automatica (IF 6.4) Pub Date : 2024-03-26 Hanxiao Liu, Yuqing Ni, Ding Lyu, Xiaoqiang Ren, Xiaofan Wang
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Optimal supervisory control of discrete event systems for cyclic tasks Automatica (IF 6.4) Pub Date : 2024-03-26 Peng Lv, Zhangcong Xu, Yiding Ji, Shaoyuan Li, Xiang Yin
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Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior Automatica (IF 6.4) Pub Date : 2024-03-22 Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
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Sliding-mode-based impulsive control for a class of time-delay systems with input disturbance Automatica (IF 6.4) Pub Date : 2024-03-22 Wu-Hua Chen, Wenxuan Xu, Wei Xing Zheng
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Lyapunov based stochastic stability of a quantum decision system for human–machine interaction Automatica (IF 6.4) Pub Date : 2024-03-22 Luke Snow, Shashwat Jain, Vikram Krishnamurthy
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Corrigendum to: “Robust regulation of discrete-time systems subject to parameter uncertainties and state delay” [Automatica 156 (2023) 111179] Automatica (IF 6.4) Pub Date : 2024-03-22 Elizandra K. Odorico, Marco H. Terra
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Coherent equalization of linear quantum systems Automatica (IF 6.4) Pub Date : 2024-03-21 Valery Ugrinovskii, Matthew R. James
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Reduced dynamics and geometric optimal control of nonequilibrium thermodynamics: Gaussian case Automatica (IF 6.4) Pub Date : 2024-03-21 Tianzhi Li, Rui Fu, Jinzhi Wang
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Momentum-based distributed gradient tracking algorithms for distributed aggregative optimization over unbalanced directed graphs Automatica (IF 6.4) Pub Date : 2024-03-21 Zhu Wang, Dong Wang, Jie Lian, Hongwei Ge, Wei Wang
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Stabilizing preparation of quantum Gaussian states via continuous measurement Automatica (IF 6.4) Pub Date : 2024-03-20 Liying Bao, Bo Qi, Daoyi Dong
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Smooth control with flexible duration for semi-Markov jump linear systems Automatica (IF 6.4) Pub Date : 2024-03-16 Jianan Yang, Yimin Zhu, Lixian Zhang, Guangren Duan, Ming Liu, Xibin Cao
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Stabilizing nonlinear model predictive control under Denial-of-Service attack via dynamic samples selection Automatica (IF 6.4) Pub Date : 2024-03-13 Shuang Shen, Chenrui Zhang, Runqi Chai, Li Dai, Senchun Chai, Yuanqing Xia
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Delayed finite-dimensional observer-based control of 2D linear parabolic PDEs Automatica (IF 6.4) Pub Date : 2024-03-05 Pengfei Wang, Emilia Fridman
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Optimal control of quantum lambda systems with an occupancy cost Automatica (IF 6.4) Pub Date : 2024-03-05 Domenico D’Alessandro, Yasemin Işik
We consider the problem of population transfer optimal control for a quantum Lambda system where the control couples pairwise only the lowest two energy levels to the highest level. The cost to be minimized expresses a compromise between minimizing the energy of the control and the average population in the highest level (occupancy), which is the one mostly subject to decay. Such a problem admits a
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Exponential stability analysis of switched nonlinear systems: A linearization method Automatica (IF 6.4) Pub Date : 2024-03-04 Xingwen Liu, Zumei Chen, Kaibo Shi, Min Li, Shouming Zhong
This paper addresses the exponential stability issue of discrete-time switched nonlinear systems by means of the linearization approach. Generally speaking, the linearization method requires that the vector field of the original nonlinear system is continuously differentiable. Since the vector field of a switched system does not meet the differentiable condition (discontinuous at switching instants)
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One Apollonius Circle is enough for many pursuit-evasion games Automatica (IF 6.4) Pub Date : 2024-03-04 Michael Dorothy, Dipankar Maity, Daigo Shishika, Alexander Von Moll
This paper investigates obstacle-free full-information simple-motion pursuit-evasion problems where the pursuer is faster and game termination is point capture. It is well known that the interior of the Apollonius Circle (AC) is the evader’s dominance region, however, it was unclear whether the evader could reach outside the initial AC without being captured. We construct a pursuit strategy that guarantees
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Optimal dynamic output feedback control of unknown linear continuous-time systems by adaptive dynamic programming Automatica (IF 6.4) Pub Date : 2024-03-02 Kedi Xie, Yiwei Zheng, Yi Jiang, Weiyao Lan, Xiao Yu
In this paper, we present an approximate optimal dynamic output feedback control learning algorithm to solve the linear quadratic regulation problem for unknown linear continuous-time systems. First, a dynamic output feedback controller is designed by constructing the internal state. Then, an adaptive dynamic programming based learning algorithm is proposed to estimate the optimal feedback control
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A regularized least-squares approach to event-based distributed robust filtering over sensor networks Automatica (IF 6.4) Pub Date : 2024-03-01 Wei Chen, Zidong Wang, Lei Zou, Qinyuan Liu, Guo-Ping Liu
In this paper, a new distributed robust filtering problem is investigated for a class of discrete-time systems subject to parameter uncertainty over sensor networks under the event-based transmission mechanism, where the uncertainty in the target plant is norm-bounded. To save limited network resources, an event-based communication strategy is presented to arrange data scheduling, where the next triggering
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A refinement of the stability test for reproducing kernel Hilbert spaces Automatica (IF 6.4) Pub Date : 2024-02-29 Mauro Bisiacco, Gianluigi Pillonetto
Reproducing kernel Hilbert spaces (RKHSs) are special Hilbert spaces where all the evaluation functionals are linear and bounded. They are in one-to-one correspondence with positive definite maps called kernels. Stable RKHSs enjoy the additional property of containing only functions defined over the real line and absolutely integrable. Necessary and sufficient conditions for RKHS stability are known
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Analyzing the impact of regularization on REMSE Automatica (IF 6.4) Pub Date : 2024-02-29 Bin Zhu, Mattia Zorzi
The spectral density of a multidimensional stationary process or a homogeneous random field can be inferred through the REgularized Multidimensional Spectral Estimator (REMSE). The latter is characterized by a convex optimization problem subject to moment constraints, in which we search for a spectral density maximizing the -entropy (a generalized definition of entropy) while matching the covariance
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Observer-based self-triggered FTC for Markovian jump networked systems Automatica (IF 6.4) Pub Date : 2024-02-28 Hongyan Yang, Xiaolong Wu, Honggui Han, Shen Yin
A resource-aware fault tolerant control (RA-FTC) issue is considered in this work for Markovian jump systems (MJS) via a self-triggered scheme. First, based on uncertain polytopic theory and system augmentation technique, a sliding mode observer is designed to reconstruct faults and states via the self-triggered nonuniform sampled outputs. Second, a self-triggered fault tolerant controller (ST-FTC)
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Stabilization and decay rate estimation for axially moving Kirchhoff-type beam with rotational inertia under nonlinear boundary feedback controls Automatica (IF 6.4) Pub Date : 2024-02-27 Yi Cheng, Yuhu Wu, Bao-Zhu Guo, Yongxin Wu
In this paper, we consider the stabilization of an axially moving Kirchhoff-type beam with rotational inertia under controls of force and torque at one boundary. The proposed negative feedbacks of the transverse velocity and angular velocity applied at the control end cover a large class of nonlinear feedback functions. The well-posedness of the resulting closed-loop system is established by means
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Design of coherent passive quantum equalizers using robust control theory Automatica (IF 6.4) Pub Date : 2024-02-27 Valery Ugrinovskii, Matthew R. James
The paper develops a methodology for the design of coherent equalizing filters for quantum communication channels. Given a linear quantum system model of a quantum communication channel, the aim is to obtain another quantum system which, when coupled with the original system, mitigates degrading effects of the environment. The main result of the paper is a systematic equalizer synthesis algorithm which
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On necessary and sufficient conditions for finite-time control of positive stochastic Poisson jump systems Automatica (IF 6.4) Pub Date : 2024-02-27 Chengcheng Ren, Hamid Reza Karimi, Shuping He, Yanyan Yin, Kok Lay Teo
In this paper, we consider the stochastically finite-time control problem for a class of positive stochastic Poisson jump systems (PSPJSs). By introducing a novel mode decoupling technique, some necessary and sufficient conditions are given to guarantee the stochastic finite-time boundedness of the input-free PSPJSs. Then, a proper mode-dependent finite-time state feedback controller is designed such
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Mean-square exponential convergence for Byzantine-resilient distributed state estimation Automatica (IF 6.4) Pub Date : 2024-02-27 Liwei An, Guang-Hong Yang
This paper studies the problem of distributed resilient state estimation (RSE) for linear measurement models in the presence of locally-bounded Byzantine nodes that may arbitrarily deviate from the prescribed update rule. Necessary and sufficient conditions for the existence of a distributed algorithm to solve the RSE problem in the almost sure sense are characterized in term of the topology-associated
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An algorithm to transform discrete-time state equations into the extended observer form Automatica (IF 6.4) Pub Date : 2024-02-27 Arvo Kaldmäe, Ülle Kotta
The problem of transforming a single-input single-output nonlinear discrete-time state equations into the extended observer form is studied in this paper. Unlike previous solutions which compute the injection terms from the input–output equations, in this paper the computations utilize directly the given state equations. An algorithm is given to find step-by-step the necessary transformation by computing
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Stability analysis of linear delayed systems based on an allowable delay set partitioning approach Automatica (IF 6.4) Pub Date : 2024-02-27 Yun Chen, Hong-Bing Zeng, Yuzhe Li
This note is concerned with the stability analysis of linear systems with a time-varying delay, where the delay is assumed to be a periodically varying bounded function with restricted derivatives. Combining the allowable delay set (ADS) definition and the region partitioning technique, an ADS partitioning approach is proposed, and then by with aid of this approach, a novel Lyapunov–Krasovskii functional
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PDE-based control synthesis for a planar cable-driven continuum arm Automatica (IF 6.4) Pub Date : 2024-02-27 Zhiji Han, Zhijie Liu, Thomas Meurer, Wei He
Classical wave and beam models cannot describe the arc-like planar configuration of a continuum arm. Based on the Cosserat rod theory, a strain vector and the rotation matrix are introduced into this work. Two groups of nonlinear partial differential equations (PDEs) are obtained by analyzing kinetic and potential energy densities and virtual power done by the cable tension, which are explicit both
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Model robustness for feedback stabilization of open quantum systems Automatica (IF 6.4) Pub Date : 2024-02-27 Weichao Liang, Nina H. Amini
This paper builds upon and expands the findings presented in Liang et al. (2021). Our focus lies in scenarios where initial states and model parameters remain unknown. In contrast to prior research, we consider multiple measurement channels, addressing the challenge of global exponential stabilization towards a chosen target subspace. Under quantum non-demolition conditions, our analysis establishes
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Emulation-based stabilization for networked control systems with stochastic channels Automatica (IF 6.4) Pub Date : 2024-02-23 Wei Ren, Wei Wang, Zhuo-Rui Pan, Xi-Ming Sun, Andrew R. Teel, Dragan Nešić
This paper studies the stabilization problem of networked control systems (NCSs) with random packet dropouts caused by stochastic channels. To describe the effects of stochastic channels on the information transmission, the transmission times are assumed to be deterministic, whereas the packet transmission is assumed to be random. We first propose a stochastic scheduling protocol to model random packet
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Computationally efficient guaranteed cost control design for homogeneous clustered networks Automatica (IF 6.4) Pub Date : 2024-02-22 Bikash Adhikari, Jomphop Veetaseveera, Vineeth Satheeskumar Varma, Irinel-Constantin Morărescu, Elena Panteley
We consider a clustered network where connections inside the cluster are dense and between clusters are sparse. This leads us to a classical decoupling into fast (intra-cluster) and slow (inter-cluster) dynamics. Our objective is to provide a computationally efficient method to design control strategies that guarantee a certain bound on the cost for each cluster. Basically, we design a composite synchronizing
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Hierarchical stability conditions and iterative reciprocally high-order polynomial inequalities for two types of time-varying delay systems Automatica (IF 6.4) Pub Date : 2024-02-22 Zhengliang Zhai, Huaicheng Yan, Shiming Chen, Zhichen Li, Chengjie Xu
This paper investigates the stability problem of linear systems with a time-varying delay that the delay’s derivative has an upper bound or no constraint. Based on the state vectors and multiple integral state vectors involved in the delay related Bessel–Legendre inequalities (BLIs), the hierarchical Lyapunov–Krasovskii functionals (LKFs) are proposed. In order to deal with the fractions of the delay
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Authors’ reply to ‘Comments on “Vision-based finite-time uncooperative target tracking for UAV subject to actuator saturation” [Automatica 130 (2021) 109708]’ Automatica (IF 6.4) Pub Date : 2024-02-18 Bing Zhu, Peng Sun, Zongyu Zuo, Michael Basin
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Distributed state estimation for jointly observable linear systems over time-varying networks Automatica (IF 6.4) Pub Date : 2024-02-18 Shimin Wang, Martin Guay
This paper deals with a distributed state estimation problem for jointly observable multi-agent systems operated over various time-varying network topologies. The results apply when the system matrix of the system to be observed contains eigenvalues with positive real parts. They also can apply to situations where the communication networks are disconnected at every instant. We present sufficient conditions
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Least-squares model-reference adaptive control with high-order parameter tuners Automatica (IF 6.4) Pub Date : 2024-02-17 Ramon R. Costa
Recently, a Lyapunov design of least-squares model-reference adaptive control (LS-MRAC) has been proposed. Unlike other least-squares based algorithms, the update law is driven only by the tracking error and, in this way, it does not require normalization or parameter projection to assure stability of the closed-loop system. Moreover, the algorithm has striking improved tracking error transient and
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Discernibility of topological variations for networked LTI systems based on observed output trajectories Automatica (IF 6.4) Pub Date : 2024-02-15 Yuqing Hao, Qingyun Wang, Zhisheng Duan, Guanrong Chen
In this paper, the possibility of detecting topological variations by observing output trajectories from networked linear time-invariant systems is investigated, where the network topology can be general, but the nodes have identical higher-dimensional dynamics. A necessary and sufficient condition on the discernibility of topological variations is derived, in terms of the eigenspaces of the original