Angular random walk (ARW), rate random walk (RRW), and bias instability (BI) are the main noise types in inertial measurement units (IMUs) and thus determine the navigation performance of IMUs. BI is the flicker noise...
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Dear Editor,This letter deals with the robustness problem of gait recognition method against maximum number of clothing *** selecting four kinds of time-varying silhouette features,gait dynamics underlying different i...
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Dear Editor,This letter deals with the robustness problem of gait recognition method against maximum number of clothing *** selecting four kinds of time-varying silhouette features,gait dynamics underlying different individuals’gait features is effectively modeled by radial basis function(RBF)neural networks through deterministic *** kind of dynamics information has little sensitivity to the variance between gait patterns under different clothing *** order to eliminate the effect of clothing differences,the training patterns under different clothing conditions further constitute a uniform training dataset,containing all kinds of gait dynamics under different clothing conditions.A rapid recognition scheme is presented on published gait *** experiments demonstrate the efficacy of the proposed method.
This paper studies the stabilizing problem of networked sampled-data linear systems with independent and identically distribution(i.i.d.) packet dropouts. First of all, for the sampled-data system without packet losse...
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This paper studies the stabilizing problem of networked sampled-data linear systems with independent and identically distribution(i.i.d.) packet dropouts. First of all, for the sampled-data system without packet losses, the necessary and sufficient conditions for the critical sampling intervals are given to ensure the mean square stability where zero order holder and generalized holder are adopted, respectively. Secondly, for the sampled-data system with i.i.d. packet losses, necessary and sufficient conditions for the critical sampling intervals are given to ensure the mean square stability where the zero order holder control is adopted. The random sampling framework is used to examine the case that the value of the control signal is not zero when the packet loss occurs, but the value of the previous control signal when the data packet is not lost. For the sampled-data system with *** losses, the range of the sampling interval is given to ensure the mean square stability where the generalized holder control is adopted. Some numerical simulations are provided to validate the theoretical results.
Vigorously developing new energy is an important cornerstone for achieving carbon peak and carbon neutrality, and is related to national economic development and energy security. In recent years, with the strong suppo...
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The utilization of appropriate tools can significantly streamline task complexity and expand the boundaries of robot capabilities, indicating a high level of intelligence. Finding a useful tool is a non-trivial proble...
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Considering the diversity of natural conditions, including fog, low light, and strong light, as well as the impact of various diseases on leaves, we propose an improved apple leaf disease detection method based on the...
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Capturing discriminative spatiotemporal feature information is crucial for enhancing the performance of video action recognition. Currently, most methods generally embed spatiotemporal feature modeling modules into th...
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The cascaded H-bridge (CHB) based battery energy storage systems (BESS) suffer from power oscillation and state-of-charge (SOC) imbalance under unbalanced grid conditions. To deal with these issues, this paper propose...
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Recent years have seen a rising interest in distributed optimization problems because of their widespread applications in power grids, multi-robot control, and regression *** the last few decades, many distributed alg...
Recent years have seen a rising interest in distributed optimization problems because of their widespread applications in power grids, multi-robot control, and regression *** the last few decades, many distributed algorithms have been developed for tackling distributed optimization problems. In these algorithms, agents over the network only have access to their own local functions and exchange information with their neighbors.
With the increasing maturity of automatic driving technology,the homogeneous traffic flow will gradually evolve into the heterogeneous traffic flow,which consists of human-driving and autonomous *** better study the c...
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With the increasing maturity of automatic driving technology,the homogeneous traffic flow will gradually evolve into the heterogeneous traffic flow,which consists of human-driving and autonomous *** better study the characteristics of the heterogeneous traffic system,this paper proposes a new car-following model for autonomous vehicles and heterogeneous traffic flow,which considers the self-stabilizing effect of *** linear and nonlinear methods,this paper deduces and analyzes the stability of such a car-following model with the self-stabilizing ***,the model is verified by numerical *** results show that the self-stabilizing effect can make the heterogeneous traffic flow more stable,and that increasing the self-stabilizing coefficient or historical time length can strengthen the stability of heterogeneous traffic flow and alleviate traffic congestion *** addition,the heterogeneous traffic flow can also be stabilized with a higher proportion of autonomous vehicles.
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