This paper introduces an approach to estimate the true states for stochastic Boolean dynamic system(SBDS), where the state evolution is governed by Boolean functions with additive binary process noise while the measur...
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This paper introduces an approach to estimate the true states for stochastic Boolean dynamic system(SBDS), where the state evolution is governed by Boolean functions with additive binary process noise while the measurement is an arbitrary function of the state yet with additive binary measurement *** problem of figuring out the true state using the only available noisy outputs is crucial for practical applications of Boolean dynamic system models, however, for such Boolean systems with wide background, there are no ready-to-use convenient tools like Kalman filter for linear systems. To resolve this challenging problem, an approach based on Bayesian filtering called Boolean Bayesian Filter(BBF) is put forward to estimate the true states of SBDS, and an efficient algorithm is presented for their exact computation. An index to evaluate the filtering performance,named estimation error rate, is put forward in this paper as well. In addition, extensive simulations via actual examples have illustrated the effectiveness of the proposed algorithm based on BBF.
Nanomanipulation under scanning electron microscopy(SEM)enables direct interactions of a tool with a *** recently developed a nanomanipulation technique for the extraction and identification of DNA contained within su...
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Nanomanipulation under scanning electron microscopy(SEM)enables direct interactions of a tool with a *** recently developed a nanomanipulation technique for the extraction and identification of DNA contained within sub-nuclear locations of a single cell *** nanomanipulation of sub-cellular structures,a key step is to identify targets of interest through correlating fluorescence and SEM *** DNA extraction task must be conducted with low accelerating voltages resulting in low imaging *** is imposed by the necessity of preserving the biochemical integrity of the *** poor imaging conditions make the identification of nanometer-sized fiducial marks *** paper presents an affine scale-invariant feature transform(ASIFT)based method for correlating SEM images and fluorescence microscopy *** performance of the image correlation approach under different noise levels and imaging magnifications was quantitatively *** optimal mean absolute error(MAE)of correlation results is 68634 nm under standard *** with manual correlation by skilled operators,the automated correlation approach demonstrates a speed that is higher by an order of *** the SEM-fluorescence image correlation approach,targeted DNA was successfully extracted via nanomanipulation under SEM conditions.
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.
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