the proceedings contain 250 papers. the topics discussed include: dual attention message passing model for scene graph generation;feature extraction for controller design by deep auto-encoder neural network and least ...
ISBN:
(纸本)9781728114545
the proceedings contain 250 papers. the topics discussed include: dual attention message passing model for scene graph generation;feature extraction for controller design by deep auto-encoder neural network and least squares policy iteration;datadrivencontrol for a class of nonlinear SISO systems with uniform quantizer using encoding and decoding mechanism;content based image retrieval via sparse representation and feature fusion;active disturbance rejection control of ship course based on deep belief network;remaining useful life prediction of lithium-ion battery based on unscented kalman filter and back propagation neural network;and multiple fault diagnosis for sucker rod pumping systems based on matter element analysis with F-statistics.
this paper researches the iterative learning-based data-drivencontrol for unknown unmanned marine vehicles with actuator faults, while considering the trajectory tracking problem in the presence of external disturban...
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ISBN:
(纸本)9798350321050
this paper researches the iterative learning-based data-drivencontrol for unknown unmanned marine vehicles with actuator faults, while considering the trajectory tracking problem in the presence of external disturbances. Using the partial form dynamic linearization technique, we establish an equivalent dynamic linearization data model with independent disturbance of unmanned marine vehicles. the disturbance and input data have different pseudo partial derivative matrices, which increases the immunity of the UMVs to disturbance in the environment. Additionally, we propose an equivalent data model with unknown pseudo partial derivative matrices that includes both actuator faults and UMV dynamics information. And, an iterative learning-based fault-tolerant trajectory tracking data-drivencontrol scheme is developed such that the error of trajectory tracking is convergent under external disturbance and actuator faults. Finally, the examples are provided to validate the effectiveness of the proposed iterative learning trajectory tracking control scheme in this paper.
the paper presents a novel approach for human-robot skill transferring. Firstly, we propose a method that combines dynamic time warping (DTW) withthe Gaussian mixture model (GMM) to reconstruct the demonstrated skill...
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In this work, an observer-based sliding mode control strategy is proposed for a discrete-time nonlinear multiagent systems (MASs) with unknown disturbance. Only some agents are capable of acquiring the reference traje...
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ISBN:
(纸本)9798350321050
In this work, an observer-based sliding mode control strategy is proposed for a discrete-time nonlinear multiagent systems (MASs) with unknown disturbance. Only some agents are capable of acquiring the reference trajectory, and the dynamic models of the agents are unknown. Unlike the traditional model-based consensus control protocol, this method is data-driven and solely dependent on the input/output (I/O) data of the agents. the stability of the proposed control strategy is ensured by theoretical analysis and the simulation outcomes ultimately validate the viability of the developed approach.
this paper proposes a novel method to improve synchronization precision and reduce the influence of stochastic noises in lithography motion stages. Specifically, the multiple-channel adaption-learning-function synchro...
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ISBN:
(纸本)9798350321050
this paper proposes a novel method to improve synchronization precision and reduce the influence of stochastic noises in lithography motion stages. Specifically, the multiple-channel adaption-learning-function synchronization iterative learningcontrol (MASILC) method we give uses a multiple-channel approach based on A-type of ILC, with adaptive parameters to address the divergence situation caused by stochastic noises in different channels. We verify the superiority of the MASILC method and analyze its stability and convergence performance in theory. Furthermore, we introduce an effective adaptive method inspired by the stochastic acceleration optimization method. Simulation comparisons with analogous approaches demonstrate the effectiveness and superiority of the proposed method in various circumstances.
In order to effectively reduce the fluctuation of blade loads during independent pitch change of large wind turbines, a real-time correction model predictive control (MPC) control strategy for independent pitch contro...
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this paper proposes a license plate recognition method based on YOLOv8-Pose and E-LPRNet for complex scenarios such as urban roadside and road inspection. E-LPRNet is a character recognition network formed by modifyin...
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A Furuta pendulum is a typical underactuated mechanical system with two degrees of freedom (DOF) and only one input. We address the robust stabilization control problem for this 2-DOF underactuated system with a match...
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ISBN:
(纸本)9798350321050
A Furuta pendulum is a typical underactuated mechanical system with two degrees of freedom (DOF) and only one input. We address the robust stabilization control problem for this 2-DOF underactuated system with a matched external disturbance. A fixed-time sliding mode control method is presented. First, the dynamic motion model of the system is established using the Euler-Lagrange modeling method. And then, we get the approximate linearization model of the system around the origin equilibrium point and construct a homeomorphic coordinate transformation for this model. After that, a sliding mode surface and a fixed-time robust controller are designed for the transformed system. the developed controller ensures the system's state variables to reach the sliding mode surface in a fixed time. this guarantees the fixed-time robust stabilization control objective to be achieved. Finally, two numerical examples demonstrate the validity of our presented control strategy.
In this paper, a novel abnormal behavior analysis algorithm based on YOLOv8 is proposed for the target recognition problem of guide robot dog. the algorithm is based on the human posture estimation model of YOLOv8 for...
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In the context of road scenes, detecting targets poses challenges such as mutual occlusion, small sizes, and dense distributions, leading to difficulties in detection and target loss. To address these issues, a road s...
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