Resilient leader-following consensus in continuous double-integrator multi-agent systems is considered in this *** realize global objectives,all agents need to communicate with their neighbors,which can be vulnerable ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Resilient leader-following consensus in continuous double-integrator multi-agent systems is considered in this *** realize global objectives,all agents need to communicate with their neighbors,which can be vulnerable to malicious *** spite of the presence of malicious agents,the benign ones aim to follow the *** regards to this,a resilient leaderfollowing consensus protocol is *** certain topology condition,the proposed protocol can guarantee that the resilient leader-follower consensus is *** results are finally given to demonstrate the validity of theoretical results.
This study mainly focus on Sybil attacks with the Identity-Augmented Proof-of-Stake (IdAPoS) protocol under different network topologies, including random, scale-free, and hierarchical networks. The study finds that s...
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This paper proposes a novel data-driven finite-time adaptive control method for the spacecraft attitude tracking control problem with inertial uncertainty. Based on the dynamic regression extension technique, the dist...
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This paper proposes a distributed observer for linear time-invariant systems driven by a class of exogenous input signals within the multi-agent consensus *** an exogenous input is assumed to be generated by an exosys...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper proposes a distributed observer for linear time-invariant systems driven by a class of exogenous input signals within the multi-agent consensus *** an exogenous input is assumed to be generated by an exosystem,and so is expected to be reconstructed from the *** construct the distributed observer,a group of sensor nodes are deployed to measure the output of the *** limited output information acquired,a single node may not be able to reconstruct the full state of the system as well as the exogenous input ***,a protocol of neighboring-feedback cooperation is designed so that each node can achieve the reconstruction objective without fail.
The realization of reversible thermal conductivity through ferromagnetic ordering can improve the heat management and energy efficiency in magnetic materials-based ***_(3),as a new layered ferromagnetic semiconductor,...
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The realization of reversible thermal conductivity through ferromagnetic ordering can improve the heat management and energy efficiency in magnetic materials-based ***_(3),as a new layered ferromagnetic semiconductor,exhibits a structural phase transition from monoclinic(C2/m)to rhombohedral(R3^(-))phase as temperature decreases,making it a suitable platform to investigate thermal switching in magnetic phase transition *** work reveals that the thermal switching ratio of VI_(3)can reach 3.9 along the *** properties analysis indicates that the C2/m structure is stiffer than the R^(-)one,causing the larger phonon velocity in C2/m ***,due to the fewer phonon branches in C2/m phase,the number of phonon–phonon scattering channels in C2/m phase is smaller compared to that of R^(-)*** the larger phonon velocity and the longer phonon lifetime lead to larger lattice thermal conductivity in C2/m *** study uncovers the mechanical and thermal properties of VI_(3),which provides useful guides for designing magnetic materials-based devices such as thermal switch.
This paper investigates two distributed accelerated primal-dual neurodynamic approaches over undirected connected graphs for resource allocation problems(RAP)where the objective functions are generally *** the help of...
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This paper investigates two distributed accelerated primal-dual neurodynamic approaches over undirected connected graphs for resource allocation problems(RAP)where the objective functions are generally *** the help of projection operators,a primal-dual framework,and Nesterov's accelerated method,we first design a distributed accelerated primal-dual projection neurodynamic approach(DAPDP),and its convergence rate of the primal-dual gap is O(1/(t^(2)))by selecting appropriate parameters and initial ***,when the local closed convex sets are convex inequalities which have no closed-form solutions of their projection operators,we further propose a distributed accelerated penalty primal-dual neurodynamic approach(DAPPD)on the strength of the penalty method,primal-dual framework,and Nesterov's accelerated *** on the above analysis,we prove that DAPPD also has a convergence rate O(1/(t^(2)))of the primal-dual *** with the distributed dynamical approaches based on the classical primal-dual framework,our proposed distributed accelerated neurodynamic approaches have faster convergence *** simulations demonstrate that our proposed neurodynamic approaches are feasible and effective.
Wind power generations have received widespread concern recently, however, due to the continuity of time series, ordinary machine learning models cannot learn the dependencies of continuous time series data well. To b...
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Phonon bandgap typically has a significant effect on phonon-phonon scattering *** this work,the effects of mass modified phonon bandgap inθ-phase Ta N are systemically investigated by the means of first-principles ca...
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Phonon bandgap typically has a significant effect on phonon-phonon scattering *** this work,the effects of mass modified phonon bandgap inθ-phase Ta N are systemically investigated by the means of first-principles calculations with linearized Boltzmann transport *** detailed calculations,we find that phonon bandgap has a significant effect on three-phonon process while exhibits a much weaker effect on four-phonon *** reason for the ultrahigh thermal conductivity ofθ-phase Ta N is the long lifetime of phonons including both three-phonon and four-phonon processes,which originates from the weak phonon anharmonicity and large phonon bandgap-induced small phonon-phonon scattering phase *** work advances the understanding of phonon bandgap effects on phonon transport.
In this paper, a set of methods of autonomous obstacle exploration, avoiding, and target-tracking control in the uncertain environment is proposed. First, a secure and reliable obstacle exploration framework via multi...
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In this study, an adaptive tracking controller using multi-dimensional Taylor network (MTN) is presented for state-constrained nonlinear stochastic systems with saturated input, in which MTN is implemented to model th...
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