In this paper, a distributed adaptive observer scheme is designed for state reconstruction of linear time-invariant(LTI) systems with unknown dynamics. Specifically, a set of sensor nodes are deployed to distributedly...
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ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
In this paper, a distributed adaptive observer scheme is designed for state reconstruction of linear time-invariant(LTI) systems with unknown dynamics. Specifically, a set of sensor nodes are deployed to distributedly measure the system state information, to restore the state and dynamics within it. Due to limitation of measurement capacity, individual node may not be able to measure the entire state. By achieving consensus with neighbors through a communication network, each node can adaptively reconstruct the system dynamics and estimate the system state asymptotically. The design of distributed adaptive observers for LTI systems with no input and with bounded unknown input are discussed, respectively. The completely distributed design in this paper requires no global information such as communication topology, collective measurement channel, or bound of the components of the system dynamics.
Lithium metal batteries are promising devices for the next-generation energy storage due to their ultrahigh theoretical specific capacity and extremely low electrochemical *** inherent problem is the formation of lith...
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Lithium metal batteries are promising devices for the next-generation energy storage due to their ultrahigh theoretical specific capacity and extremely low electrochemical *** inherent problem is the formation of lithium dendrites in cycling,which has induced safety concerns for almost half a *** understanding the formation mechanism of branching structures,we propose to suppress lithium dendrites by adopting external magnetic fields to induce diffusion enhancement at the interface of the anode,thus attenuating concentration gradient there and reducing the driving force for the formation of dendritic *** diffusion coefficient of lithium ions is dependent on the strength of magnetic fields,confirming the effectiveness of magnetic fields in improving Li^(+) *** employing the magnetic field of0.8 T,the concentration gradients at the growth front becomes nearly half of the control case,which leads to a dendrite-free lithium deposition up to the high current density of 10 mA cm^(-2).Both the Cu|LiCoO_(2) batteries and the symmetric Li | Li coin cells show a long-term stable cycling at high current densities under the assistance of magnetic *** diffusion enhanced technique promises a facile and general approach to suppress dendritic structures in secondary batteries,which may help to develop quick charging strategies.
A novel fault detection method based on time/space separation and latent variable model is proposed for unknown nonlinear distributed parameter systems in sensor-constrained environments. By performing time/space sepa...
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The microbubble and microinterface play key roles in the development and progress of the technology in the field of chemical engineering,which has attracted broad attention from the scientific and industrial ***,Zhang...
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The microbubble and microinterface play key roles in the development and progress of the technology in the field of chemical engineering,which has attracted broad attention from the scientific and industrial ***,Zhang et *** a book about microinterfacial mass transfer intensification technology,where they systematically introduced scientific essence,reaction mechanism,equipment structure,and influence law of multiphase reaction process strengthened by microinterface.I believe this book can promote the technological innovation of microbubble-related processes,and also the development of the green chemical industry!
Gaussian process regression has been extensively studied due to its ability for learning and predicting a dynamic *** this data-driven approach has received considerable attention,it shows the drawback of ignoring the...
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ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
Gaussian process regression has been extensively studied due to its ability for learning and predicting a dynamic *** this data-driven approach has received considerable attention,it shows the drawback of ignoring the physical prior of the *** this paper,a structure-preserving Gaussian process regression is proposed for learning and predicting the SO(3) *** dynamics of the satellite is represented under the framework of geometric mechanics,which results in a reduced equations of *** such,by using variational mechanics the priori estimation is constructed to determine the posteriori mean during the Gaussian process *** obtained learning method inherits the advantages of the numerical integrator,such as energy-conserving and *** benefits of the proposed approach are highlighted in a numerical simulation with a real cuboid satellite.
This paper investigates the stabilization of underactuated vehicles moving in a three-dimensional vector *** vehicle’s model is established on the matrix Lie group SE(3),which describes the configuration of rigid bod...
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This paper investigates the stabilization of underactuated vehicles moving in a three-dimensional vector *** vehicle’s model is established on the matrix Lie group SE(3),which describes the configuration of rigid bodies globally and *** focus on the kinematic model of the underactuated vehicle,which features an underactuation form that has no sway and heave *** compensate for the lack of these two velocities,we construct additional rotation matrices to generate a motion of rotation coupled with ***,the state feedback is designed with the help of the logarithmic map,and we prove that the proposed control law can exponentially stabilize the underactuated vehicle to the identity group element with an almost global domain of ***,the presented control strategy is extended to set-point stabilization in the sense that the underactuated vehicle can be stabilized to an arbitrary desired configuration specified in ***,simulation examples are provided to verify the effectiveness of the stabilization controller.
In this work, we consider the physical layer security in short-packet communications, where a full-duplex (FD) receiver receives information signals from a source while generating artificial noise (AN) to confuse an e...
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The exploration of chimera-inspired dynamics in nonlocally coupled networks of Kuramoto oscillators with higher-order interactions is still in its nascent stages. Concurrently, the investigation of collective phenomen...
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The exploration of chimera-inspired dynamics in nonlocally coupled networks of Kuramoto oscillators with higher-order interactions is still in its nascent stages. Concurrently, the investigation of collective phenomena in higher-order interaction networks is gaining attraction. Here, we observe that hypergraph networks tend to synchronize through lower-order interactions, whereas simplicial complex networks exhibit a preference for higher-order interactions. This observation suggests that higher-order representations manifest substantial differences in chimera-inspired synchronization regions. Moreover, we introduce an explicit expression for identifying the chimera state. With a comprehensive basin stability analysis and the interplay of pairwise and higher-order interaction strengths, the emergence of the chimera state is inherent in high-order interaction networks. Our findings contribute to the understanding of chimera-inspired dynamics in higher-order interaction networks.
Lithology identification serves as a crucial foundation for the precise exploration and safe exploitation of geological resources. However, challenges arise from the inherent imbalance and overlap present in logging d...
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