This paper studies the stability of state estimation for a discrete-time linear stochastic system, the states of which are measured by multiple sensors and transmitted over multiple wireless channels. Random packet lo...
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ISBN:
(纸本)9781479947249
This paper studies the stability of state estimation for a discrete-time linear stochastic system, the states of which are measured by multiple sensors and transmitted over multiple wireless channels. Random packet loss process introduced by each wireless channel is modeled by an independent and identically distributed(i.i.d.) Bernoulli process. The estimation strategy designed in this paper is based on Covariance Intersection fusion of local state estimates of the observable subsystem of each sensor. The sufficient conditions, imposing constraint on the packet success probability of each channel, are established by taking into account each observable subsystem structure to guarantee the expectation of the trace of estimation error covariance matrices is exponentially bounded, and the upper bound is given. Simulation examples are provided to demonstrate the effectiveness of the results.
This paper presents a novel five-phase double-stator permanent-magnet synchronous motor (DSPMSM). The motor is compacted with DSPMSM and fault-tolerant motor, so that the motor not only inherits the merits of double-s...
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This paper presents a novel five-phase double-stator permanent-magnet synchronous motor (DSPMSM). The motor is compacted with DSPMSM and fault-tolerant motor, so that the motor not only inherits the merits of double-stator which with high torque density and high utilization rate of the space, but also achieves fault tolerance. A new structure of the rotor is proposed for the DSPMSM. The DSPMSM proposed in the paper poses with high air-gap flux density, torque density and fault-tolerant capacity. Control strategies and electromagnetic torque characteristics of the DSPMSM with completely loss of one and two phases are described. The fault-tolerant performance of the DSPMSM is analyzed by finite element method.
This paper presents a novel adaptive IIR filter modeling for the hysteresis characteristic in PEA (piezoelectric actuator). First, the PEA hysteresis operators are introduced and the modeling methods of traditional ad...
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This paper presents a novel adaptive IIR filter modeling for the hysteresis characteristic in PEA (piezoelectric actuator). First, the PEA hysteresis operators are introduced and the modeling methods of traditional adaptive IIR (infinite-impulse response) filter are discussed. Then, delay operators of IIR adaptive filter are replaced with Backlash operators to compose a new adaptive IIR filter model. During the modeling process, LMS (Least Mean Square) algorithm is used to adjust the weight values. At last the modeling effectiveness is verified via a micro-positioning system experiment platform based on PEA. Experimental results show that the proposed Backlash operator based IIR adaptive filter can achieve accurate hysteresis modeling.
Formation control from optimal control strategy is derived based on the position estimation for second-order molded agents using only the relative *** the proposed strategy,agents can realize the convergence to the de...
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ISBN:
(纸本)9781479947249
Formation control from optimal control strategy is derived based on the position estimation for second-order molded agents using only the relative *** the proposed strategy,agents can realize the convergence to the desired formation configure if and only if the interaction graph for the agents has a spanning *** control input is added into the derived control strategy,with the help of detecting obstacles using the relative position and taking avoidance measures using the estimated position,it can also realize obstacle avoidance for agents between themselves.
In this paper, we propose a distributed adaptive approach for tracking problem without using leader's velocity information, where agents are modeled by Euler-Lagrange equations. It is assumed that only a small fra...
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In this paper, we propose a distributed adaptive approach for tracking problem without using leader's velocity information, where agents are modeled by Euler-Lagrange equations. It is assumed that only a small fraction of agents within the leader's communication range are informed about the position of the leader. Without using the leader's velocity information, a connectivity-preserving adaptive controller is proposed to achieve tracking control on Lagrangian systems with the leader of constant velocity. Moreover, position and velocity consensus can be achieved asymptotically with the proposed control strategy. Numerical simulations are further provided to illustrate the theoretical results.
This paper investigates the distributed tracking control problem for multiple Lagrangian systems under a general directed graph where only a portion of the agents have access to the desired time-varying trajectory. To...
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This paper investigates the distributed tracking control problem for multiple Lagrangian systems under a general directed graph where only a portion of the agents have access to the desired time-varying trajectory. To overcome the problem that only positions are measured, a observer is designed to estimate the velocity for each follower. By employing the estimated states, the distributed observer-based controller is proposed using only position measurements. Furthermore, the condition for the distributed tracking problem on the directed graph is derived, such that the tracking errors and observer errors semi-globally converge to zero. Finally, simulation examples are provided to show the effectiveness of the proposed control algorithms.
With the popularity of social media platforms such as Face-book and Twitter, the amount of useful data in these sources is rapidly increasing, making them promising places for information acquisition. This research ai...
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ISBN:
(纸本)9781450325981
With the popularity of social media platforms such as Face-book and Twitter, the amount of useful data in these sources is rapidly increasing, making them promising places for information acquisition. This research aims at the customized organization of a social media corpus using focused topic hierarchy. It organizes the contents into different structures to meet with users' different information needs (e.g., "iPhone 5 problem" or "iPhone 5 camera"). To this end, we introduce a novel function to measure the likelihood of a topic hierarchy, by which the users' information need can be incorporated into the process of topic hierarchy construction. Using the structure information within the generated topic hierarchy, we then develop a probability based model to identify the representative contents for topics to assist users in document retrieval on the hierarchy. Experimental results on real world data illustrate the effectiveness of our method and its superiority over state-of-the-art methods for both information organization and retrieval tasks. Copyright 2014 ACM.
A new kind of nonlinear control law is proposed for the purpose of improving servo platform tracking performance under condition of rapid movement. On the basis of linear ADRC, an arctangent function is selected, and ...
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ISBN:
(纸本)9781479936519
A new kind of nonlinear control law is proposed for the purpose of improving servo platform tracking performance under condition of rapid movement. On the basis of linear ADRC, an arctangent function is selected, and smoothly extended to an anti-S curve. The new method retains the feature of estimating and compensating the internal un-modeled dynamics and external disturbances. Simulation and comparison tests show that system using new control method has faster and more accurate tracking results.
It is important to use prior knowledge of signal characteristics and their distribution in time-frequency space to extract valuable information from noisy medical ***,the noise in an ECG often has a wide bandwidth whi...
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It is important to use prior knowledge of signal characteristics and their distribution in time-frequency space to extract valuable information from noisy medical ***,the noise in an ECG often has a wide bandwidth which is difficult for approaches based on filters or *** adaptive filters such as Wigner filters or Kalman filters are able to remove wide-bandwidth noise,signal waveform distortion may be brought *** we propose a new noise reduction method which uses the inherent information redundancy in an *** construct 2D and 3D Vectorcardiographs from a standard 12 channel ECG signal,and then project them onto the channel axes to recreate the ECG ***,we take advantage of prior knowledge of where the valuable information is in the *** then apply a knowledge-based weighted Principle Component Analysis to reduce the noise and extract the valuable waveform with the recreated ECG signal.
To reduce pre-bond and post-bond test cost for 3D IP (Three Dimensional Intellectual Property) cores, this paper proposed a test wrapper optimization technique using BFD(Best Fit Decreasing) and GA (Genetic Algorithm)...
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