electrical brain stimulation (EBS) has been established as a potent instrument for modulating brain activities. This paper presents a spatially distributed linear delayed feedback control (LDFC) approach for EBS, desi...
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This paper investigates the output group formation tracking problem for heterogeneous systems with collision avoidance and connectivity maintenance methods,and the group formation tracking error can be controlled with...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper investigates the output group formation tracking problem for heterogeneous systems with collision avoidance and connectivity maintenance methods,and the group formation tracking error can be controlled within an arbitrarily small ***,the distributed observers are proposed to estimate the leader's state for each group and the state of itself,*** constructing the desired potential fields and deviating to get the negative forces,the high safety control protocol is put ***,the algorithm consisting of several equations and inequalities is given to calculate the parameters in the *** using Lyapunov stability theory,the stability of the error' systems have been *** last,the effectiveness of the proposed method has been verified by an experiment about the atmospheric monitoring task.
This paper investigates the torque characteristic and multi-objective optimisation (MOO) of the multi-layer flux-barrier less-rare-earth permanent magnet synchronous machine (MLFB-LRE-PMSM) used for the electric vehic...
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Non-intrusive load monitoring (NILM) analyzes the terminal voltage and total current to offer comprehensive appliance-specific consumption data. Many state-of-the-art NILM models make a crucial assumption that recogni...
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In this paper,a new guidance law based on deep reinforcement learning is proposed for the high-speed maneuvering target attack ***,the missile-target kinematic model is established,and the action space and state space...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In this paper,a new guidance law based on deep reinforcement learning is proposed for the high-speed maneuvering target attack ***,the missile-target kinematic model is established,and the action space and state space of reinforcement learning are ***,according to the missile strike process,the reward function suitable for this scenario is *** proximal policy optimization(PPO) based guidance law construction is ***,the strike effect in multiple sets of experiments verifies the effectiveness of the method proposed in this paper.
In this paper,a new distributed consensus tracking protocol incorporating local disturbance rejection is devised for a multi-agent system with heterogeneous dynamic uncertainties and disturbances over a directed *** i...
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In this paper,a new distributed consensus tracking protocol incorporating local disturbance rejection is devised for a multi-agent system with heterogeneous dynamic uncertainties and disturbances over a directed *** is of two-degree-of-freedom ***,a robust distributed controller is designed for consensus tracking,while a local disturbance estimator is designed for each agent without requiring the input channel information of *** condition for asymptotic disturbance rejection is ***,even when the disturbance model is not exactly known,the developed method also provides good disturbance-rejection ***,a robust stabilization condition with less conservativeness is derived for the whole multi-agent ***,a design algorithm is ***,comparisons with the conventional one-degree-of-freedombased distributed disturbance-rejection method for mismatched disturbances and the distributed extended-state observer for matched disturbances validate the developed method.
To enhance the anti-disturbance ability of biped robots and improve their full range of motion ability, this paper proposes a gait generation method based on model predictive control with turning ability, which can au...
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In this paper, wavelet packet denoising and data enhancement are used to deal with the problems of noisy background noise and small data volume in Birdsong Audio. The Mel frequency cepstral coefficients and Gammatone ...
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A deep learning-based approach is developed to address the penetration problem for the hypersonic gliding vehicle(HGV) in this *** dynamics of HGV and the penetration problem are ***,a recently proposed second-order c...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
A deep learning-based approach is developed to address the penetration problem for the hypersonic gliding vehicle(HGV) in this *** dynamics of HGV and the penetration problem are ***,a recently proposed second-order cone programming(SOCP) method is utilized to solve penetration trajectory optimization ***,the generated trajectories are used to train the deep neural network(DNN),which is then applied as the command *** DNN-based controllers are trained offline and act as real-time controllers *** are carried out to verify the effectiveness and real-time performance of the DNN-driven scheme.
作者：
Liu, ShanlinZhang, YingweiZhao, XudongWang, HeshengNortheastern University
College of Information Science and Engineering Shenyang China Northeastern University
State Laboratory of Synthesis Automation of Process Industry Shenyang China Dalian University of Technology
Faculty of Electronic Information and Electrical Engineering Dalian China Department of Automation
Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China
In this article, an adaptive event-triggered asymp¬totically fault-tolerant control (FTC) issue for nonlinear systems with actuator faults is investigated. An extended neural networks (NNs) technique is introduce...
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