With the ubiquity of mobile communication devices,people experiencing traffic jams share real-time information and interact with each other on social media sites,which provide new channels to monitor,estimate and mana...
With the ubiquity of mobile communication devices,people experiencing traffic jams share real-time information and interact with each other on social media sites,which provide new channels to monitor,estimate and manage traffic *** this paper,we use natural language processing and data mining technologies to extract traffic jam related information from ***,analyze the content of people’s talk to discover the "talking point" of people when facing traffic jams,and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.
Finite-time controlsystems usually have better disturbance rejection property and faster convergence performance. For the linearized dynamics of the linear navigation system of an agricultural tractor, a novel contro...
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A monocular vision measurement approach is presented for leader-follower robotic system to estimate the position of the leader robot relative to the follower robot. The color identifier with green and red blocks is at...
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ISBN:
(纸本)9781479939800
A monocular vision measurement approach is presented for leader-follower robotic system to estimate the position of the leader robot relative to the follower robot. The color identifier with green and red blocks is attached on the back of the leader robot, and it may be captured by the camera mounted on the follower robot. A coarse-to-fine searching method is given to extract the center point of the identifier. The parameters of the camera with the combination of the intrinsic and extrinsic ones are calibrated via least square method with given relative positions and the corresponding image coordinates of the identifier's center. The parameters are further optimized with Levenberg-Marquardt method. Then the position of the leader robot relative to the follower robot can be estimated only with single feature point. The experimental results verify the validity of the given approach.
Multi-variable systems widely exist in the practical engineeringcontrolsystems whose performances are always severely interrupted by strong disturbances including unmodeled dynamics, parameter variations, couplings ...
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Multi-variable systems widely exist in the practical engineeringcontrolsystems whose performances are always severely interrupted by strong disturbances including unmodeled dynamics, parameter variations, couplings and external disturbances. Disturbance observer (DOB) is known as an effective technique to estimate disturbances and has been extensively applied for feed-forward compensation design in the presence of disturbances. Yet many disturbance observer techniques in previous literature are just used for single-input-single-output (SISO) systems or the DOBs can be applied in the multi-variable systems, but the DOBs are still SISO DOBs. A decoupled robust multi-input-multi-output neural network disturbance observer (MNNDOB) is designed for the multi-input-multi-output (MIMO) systems. Simulation results on the mixing tank show that the proposed method has better disturbance estimation performance when there are severe model mismatches compared with the MIMO linear disturbance observer.
With the ubiquity of mobile communication devices, people experiencing traffic jams share real-time information and interact with each other on social media sites, which provide new channels to monitor, estimate and m...
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ISBN:
(纸本)9781479960798
With the ubiquity of mobile communication devices, people experiencing traffic jams share real-time information and interact with each other on social media sites, which provide new channels to monitor, estimate and manage traffic flows. In this paper, we use natural language processing and data mining technologies to extract traffic jam related information from ***, analyze the content of people's talk to discover the “talking point” of people when facing traffic jams, and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.
This paper presents a composite disturbance rejection control strategy for high purity binary distillation column with complex characteristics,such as couplings,non-minimum phase,model mismatches and external *** goal...
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ISBN:
(纸本)9781479900305
This paper presents a composite disturbance rejection control strategy for high purity binary distillation column with complex characteristics,such as couplings,non-minimum phase,model mismatches and external *** goal of the controller is to get the desired top and bottom compositions in presence of both model mismatches and external *** composite controller includes neural network inverse controller(NNIC) and neural network disturbance observer(NNDOB) both using radial basis fimction network(RBFN).The inverse model of the system is identified by RBFN,whose stability is proved via the Lyapunov fimction *** a rigorous analysis is also given to show why the NNDOB can effectively suppress the *** of the proposed scheme is compared with PID and NNIC schemes in two *** feasibility, effectiveness and disturbance rejection property of the proposed method are demonstrated by the simulation studies.
Supervisory control reconfiguration has been paid more attention due to its capacity of handling the uncertainties including resource failures, capability degradation, and task changes in discrete event systems. Howev...
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In this paper, we consider the global output feedback stabilization problem for a class of nonlinear planar systems under a more general growth condition. The nonlinearities in such a system are bounded by both lower-...
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In this paper,a wavelet packet based adaptive filter-bank construction method is proposed,with additive Fisher ratio used as wavelet packet tree pruning criterion.A novel acoustic feature named discriminative band wav...
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In this paper,a wavelet packet based adaptive filter-bank construction method is proposed,with additive Fisher ratio used as wavelet packet tree pruning criterion.A novel acoustic feature named discriminative band wavelet packet power coefficients(db-WPPC) is proposed and on this basis,a speech emotion recognition system is *** results show that the proposed feature improves emotion recognition performance over the conventional MFCC feature.
In this paper,finite-time consensus problem is investigated for multi-AUV(autonomous underwater vehicle) systems. Based on homogeneous control method,finite-time consensus algorithms are proposed for both leaderless a...
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ISBN:
(纸本)9781479900305
In this paper,finite-time consensus problem is investigated for multi-AUV(autonomous underwater vehicle) systems. Based on homogeneous control method,finite-time consensus algorithms are proposed for both leaderless and leader-follower multi-AUV ***,in the leader-follower case,a novel distributed finite-time observer is developed for the followers to estimate the leader's *** demonstrate the effectiveness of the proposed control algorithms.
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