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.
The problem of robust stabilization for a class of SISO uncertain nonlinear Differential-Algebraic Eqyatuion subsystems is considered in this paper. The robust stabilization controller is proposed based on backsteppin...
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In this paper, we explore the technology of tracking a group of targets with correlated motions in a wireless sensor network. Since a group of targets moves collectively and is restricted within a limited region, it i...
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In this paper, we explore the technology of tracking a group of targets with correlated motions in a wireless sensor network. Since a group of targets moves collectively and is restricted within a limited region, it is not worth consuming scarce resources of sensors in computing the trajectory of each single target. Hence, in this paper, the problem is modeled as tracking a geographical continuous region covered by all targets. A tracking algorithm is proposed to estimate the region covered by the target group in each sampling period. Based on the locations of sensors and the azimuthal angle of arrival (AOA) information, the estimated region covering all the group members is obtained. Algorithm analysis provides the fundamental limits to the accuracy of localizing a target group. Simulation results show that the proposed algorithm is superior to the existing hull algorithm due to the reduction in estimation error, which is between 10% and 40% of the hull algorithm, with a similar density of sensors. And when the density of sensors increases, the localization accuracy of the proposed algorithm improves dramatically.
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, 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-order and higher-order terms with an output-dependent growth rate. This problem is solved by integrating the feedback domination technique and a novel dual observer approach, where two individual observers are constructed in parallel with one estimating the linear part of the unmeasurable state and the other estimating the higher-order part. Moreover, the presented observers and the output feedback controller all have nonlinear gains. Simulations illustrate the effectiveness of the proposed stabilization scheme.
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 distu...
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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 disturbances. Main goal of the controller is to get the desired top and bottom compositions in presence of both model mismatches and external disturbances. The composite controller includes neural network inverse controller (NNIC) and neural network disturbance observer (NNDOB) both using radial basis function network (RBFN). The inverse model of the system is identified by RBFN, whose stability is proved via the Lyapunov function analysis. And a rigorous analysis is also given to show why the NNDOB can effectively suppress the disturbances. Performance of the proposed scheme is compared with PID and NNIC schemes in two cases. The feasibility, effectiveness and disturbance rejection property of the proposed method are demonstrated by the simulation studies.
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