A self-motion planning method for a redundant manipulator subject to the primary task constraint was proposed based on random generation of joint configurations and depth-first search. Exploiting the self-motion prope...
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A self-motion planning method for a redundant manipulator subject to the primary task constraint was proposed based on random generation of joint configurations and depth-first search. Exploiting the self-motion property of a redundant manipulator, a random configuration generation algorithm of a manipulator configuration was proposed for solving a set of joint configurations corresponding to a given end-effector pose and a depth-first search strategy was designed to find a collision-free configuration from the configuration set generated at random. By repeating the process for every pose from the initial to the end one in the task, a collision-free joint path can be obtained eventually. Taking a redundant manipulator of MOTOMAN VA1400 as an example, a simulation study was carried out. The result shows that the method presented is effective.
From the scheduling problem of dual-bridge water-jet cutting system, a new multiple traveling salesman problem called overlapped multiple traveling salesman problem (OMTSP) was extracted and purified, a method was pro...
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From the scheduling problem of dual-bridge water-jet cutting system, a new multiple traveling salesman problem called overlapped multiple traveling salesman problem (OMTSP) was extracted and purified, a method was proposed based on a genetic algorithm. The algorithm provides a double chromosomes of city and salesman encoding solution, and designs appropriate crossover and mutation operators. The results show that the algorithm enjoys rapid converge and can achieve a good solution of OMTSP.
A novel high-performance, low-power and generic-structured distributed visual localization system is proposed for augmenting mobile-robot navigation in intelligent environment. To overcome the influence on visual targ...
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A novel high-performance, low-power and generic-structured distributed visual localization system is proposed for augmenting mobile-robot navigation in intelligent environment. To overcome the influence on visual target perception caused by senor, clustering background and lighting condition changes, a projection based color target recognization method is employed. A new localization algorithm combining Tsai's calibration and polynomial fitting is proposed, as well as a multi-camera collaborative strategy. This improves the accuracy and reliability of the global visual localization in a complex environment. Hardware and software structure of smart sensing nodes based on embedded DSP TMS320DM642 is developed. key functions of real-time visual information acquisition, processing and network interface are integrated in the smart nodes. Application and experiments with the mobile robot navigation control platform verifies the localization accuracy as well as other favorable performances.
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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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 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.
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.
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