The object tracking for driver assistant system by the multi-sensors fusion has drawn much attention recently. With the complexity of space alignment, a new space alignment algorithm is proposed to project the object ...
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This paper considers the decentralized event-triggered consensus problem for discrete-time linear multi-agent systems. The communication topology among agents is assumed to be a general directed graph containing a spa...
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This paper considers the decentralized event-triggered consensus problem for discrete-time linear multi-agent systems. The communication topology among agents is assumed to be a general directed graph containing a spanning tree. We propose an event-based consensus control algorithm rendering the states of agents reach consensus. The triggering condition is decentralized only based on the agent's own information. Compared to the traditional consensus control law which needs communication at every iteration, the proposed event-triggered consensus algorithm in this paper can reduce the communication load greatly. Simulation is given to illustrate the theoretical results.
In this paper, the distributed cooperative attitude tracking control law based on a new modified fast terminal sliding mode is presented for multiple spacecraft formation flying in the presence of model uncertainty an...
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In this paper, the distributed cooperative attitude tracking control law based on a new modified fast terminal sliding mode is presented for multiple spacecraft formation flying in the presence of model uncertainty and external disturbance. Firstly, to speed the convergence rate and avoid the singularity problem, a new modified fast terminal sliding mode manifold is proposed. Then, based on the proposed terminal sliding mode manifold, the distributed cooperative attitude tracking controller is designed for the spacecraft formation flying(SFF) in the presence of model uncertainty and external disturbance, Meanwhile, the finite time stability of SFF system can be also guaranteed. Finally, numerical simulation is given to verify the validity of the proposed control algorithm.
A humanoid robot may suffer from slip since its two feet are not fixed on the ground. Slip occurrence may induce the loss of robot's balance. The previous literature focused on the detection or estimation of the s...
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A humanoid robot may suffer from slip since its two feet are not fixed on the ground. Slip occurrence may induce the loss of robot's balance. The previous literature focused on the detection or estimation of the slip occurrence, or only employed the translational acceleration regulation to overcome slip. This study proposes a slip prevention method by coordinating acceleration vector including the horizontal, vertical, and rotational acceleration components. The contribution of this paper is to regulate the translational and rotational acceleration together to prevent the slip occurrence. The effectiveness of our proposed method was verified by simulations and experiments on an actual humanoid robot.
This paper mainly provides and develops a new continuous-discrete PSO algorithm for handling with the optimal formation problem in the three dimensional space. For one class of formation problem with the particular co...
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ISBN:
(纸本)9781479937097
This paper mainly provides and develops a new continuous-discrete PSO algorithm for handling with the optimal formation problem in the three dimensional space. For one class of formation problem with the particular constraints, it is shown that the center of the desired shape is determined and equal to the center of the initial shape by utilizing the Lagrangian method. From the perspective of efficiency, the main task of the continuous-discrete PSO algorithm, short for CDPSO, is to search for some key parameters and to minimize the distance of all robots from the initial shape to the desired shape. To demonstrate the effectiveness of the new CDPSO algorithm, numerical results chiefly concentrate on the optimal helicopters formation from the initial shape to the desired shape in the three dimensional space and the typical shape conversion from the two-dimensional space to the three-dimensional space.
A sequential fusion and state estimation algorithm for an asynchronous multirate multisensor dynamic system is presented in this *** dynamic system at the finest scale is *** are multiple sensors observing a single ta...
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A sequential fusion and state estimation algorithm for an asynchronous multirate multisensor dynamic system is presented in this *** dynamic system at the finest scale is *** are multiple sensors observing a single target independently with different sampling rates,and the observations are obtained *** present algorithm is shown to be more effective and efficient than the existed *** on a radar tracking system with three sensors are done and show the effectiveness of the present algorithm.
A compound-structure permanent-magnet synchronous machine (CS-PMSM), which integrates two PMSMs, is a hybrid electric vehicle (HEV) power train concept. In order to meet the requirement of wide speed range of HEV, an ...
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ISBN:
(纸本)9781479951635
A compound-structure permanent-magnet synchronous machine (CS-PMSM), which integrates two PMSMs, is a hybrid electric vehicle (HEV) power train concept. In order to meet the requirement of wide speed range of HEV, an axialaxial flux CS-PMSM with a new mechanical method of varying air gap to fulfill field-weakening control and to improve the operating speed range is investigated. The field-weakening principle of the axial-axial flux CS-PMSM with varying air gap is analyzed. The electromagnetic performances with air gaps varying are evaluated by 3D finite-element method (FEM). The principle of selecting original air gap is proposed with comprehensive consideration. The field weakening capability by varying air gap is evaluated based on the comparison with two other electric methods.
Images taken by different sensors at different time instant with different resolutions are formulated by state space models, and are fused by use of Multiscale Kalman Filter(MKF). The effectiveness of the presented al...
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ISBN:
(纸本)9781479947249
Images taken by different sensors at different time instant with different resolutions are formulated by state space models, and are fused by use of Multiscale Kalman Filter(MKF). The effectiveness of the presented algorithm is shown by comparing it with the wavelet based method through experiments, where four performance measures are used. The performance evaluation indices are the root mean square errors(RMSE), the information entropy(Entropy), the space frequency(SF) and the space visibility(SV). Theretical analysis and experimental results show the effectiveness of the presented algorithm.
This paper investigates the fractional-order active disturbance rejection control for the synchronization of two different fractional-order chaotic systems. By the fractional-order extended state observers, the nonlin...
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This paper investigates the fractional-order active disturbance rejection control for the synchronization of two different fractional-order chaotic systems. By the fractional-order extended state observers, the nonlinear dynamics in the synchronization error equations for each subsystems are estimated in real time. Compensating the nonlinear estimations into controllers, the active disturbance rejection controllers are designed to achieve the synchronization. Finally, two examples of synchronization issues on different fractional-order chaotic systems are provided to verify that the fractional-order ADRC is irrelevant with the nonlinear dynamics in the fractional-order chaotic systems. The proposed controllers can achieve the synchronization and estimate the nonlinear dynamics effectively for different fractional-order chaotic systems.
In this paper,an effective approach to vehicle license plate recognition based on Extremal Regions(ERs) and Self-adaptive Evolutionary Extreme Learning Machine(Sa EELM) is *** the license plate detection step,some com...
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In this paper,an effective approach to vehicle license plate recognition based on Extremal Regions(ERs) and Self-adaptive Evolutionary Extreme Learning Machine(Sa EELM) is *** the license plate detection step,some computations including morphological operations,various filters,different contours and validations are sequentially performed to extract some image regions as candidate license ***,accurate character segmentation is achieved through a proper selection of *** the character recognition step,the HOG(histogram of oriented gradients) feature vector in each character region is extracted,and then the characters are recognized using an offline trained pattern classifier of Sa *** results show that our approach works quite well in complex traffic environments.
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