Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial...
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As a new research field in wireless sensor network (WSN), wireless video sensor network (WVSN) makes surveillance multifunctional and intelligent, with rich and intuitive sensing information. It attracts more and more...
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This article considers a centralised data fusion system, in which the measurements of the local sensors are time-stamped, and then transmitted through the network to the fusion centre. The system will suffer measureme...
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This article considers a centralised data fusion system, in which the measurements of the local sensors are time-stamped, and then transmitted through the network to the fusion centre. The system will suffer measurements delay or loss due to the unreliability of the network. Based on the Kalman filter and information filter in a single channel, a centralised data fusion algorithm with buffers is proposed to solve this problem. A probabilistic metric to evaluate the performance of the system is presented. Simulation results show the effectiveness of the proposed method.
This article considers the problem of optimal guidance laws for cooperative attack of multiple missiles based on the optimal control theory. New guidance laws are presented such that multiple missiles attack a single ...
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This article considers the problem of optimal guidance laws for cooperative attack of multiple missiles based on the optimal control theory. New guidance laws are presented such that multiple missiles attack a single target simultaneously. Simulation results show the effectiveness of the proposed algorithms. [PUBLICATION ABSTRACT]
This paper is devoted to the fault detection of linear systems over networks with bounded packet loss . The inputs and the measurements of the monitored system are transmitted to a fault detection node over an unrelia...
This paper is devoted to the fault detection of linear systems over networks with bounded packet loss . The inputs and the measurements of the monitored system are transmitted to a fault detection node over an unreliable network with bounded packet loss. The packet loss process is assumed to be arbitrary or Markovian in this paper. Due to the bounded packet loss process, the monitored system is modeled as a switched system by re-sampling it at each time instant when the measurements arrive at the fault detection node. A fault detection filter for this switched system is designed in this paper to satisfy some performance constraints. The filter updates only at the time instant when new measurements arrive at the fault detection node and the input data packets' lost are considered as external disturbances . Finally, the numerical example and simulations have demonstrated the usefulness of the proposed method.
The relative pose between inertial and visual sensors equipped in autonomous robots is calibrated in two steps. In the first step, the sensing system is moved along a line, the orientations in the relative pose are co...
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The relative pose between inertial and visual sensors equipped in autonomous robots is calibrated in two steps. In the first step, the sensing system is moved along a line, the orientations in the relative pose are computed from at least five corresponding points in the two images captured before and after the movement. In the second step, the translation parameters in the relative pose are obtained with at least two corresponding points in the two images captured before and after one step motion. Experiments are conducted to verify the effectiveness of the proposed method.
In this paper, the Bouc-Wen model widely used in describing hysteretic systems is applied to piezoelectric actuator (PEA) modelling and real-coded adaptive genetic algorithm (GA) is adopted to identify the model param...
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ISBN:
(纸本)9787900769428
In this paper, the Bouc-Wen model widely used in describing hysteretic systems is applied to piezoelectric actuator (PEA) modelling and real-coded adaptive genetic algorithm (GA) is adopted to identify the model parameters simultaneously. By dynamically adjusting the crossover probability and mutation probability, adaptive genetic algorithm improves the performance of local convergence and premature convergence and enhances search speed and precision of the simple genetic algorithm. Then some experiments are conducted to verify the efficiency of the identification method with satisfactory parameter identification results.
Information entropy based criteria are analyzed and the Normalized Mutual Information(NMI) that is presented in the field of image registration is revised to Normalized Mutual Information Entropy (NMIE) to meet the ne...
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This paper analyses the cause of the major faults of the SF6 high voltage circuit breaker, and then introduces a solution using an embedded control system. The control system consists of the controller for every break...
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This paper analyses the cause of the major faults of the SF6 high voltage circuit breaker, and then introduces a solution using an embedded control system. The control system consists of the controller for every breaker and a supervisor control system in the control center. Then a double-annular fiber field-bus communication network for the control system is introduced, of which the data link layer is implemented by the CAN controller. According to the operation state of every node and the fiber, the fiber communication module of every node can be configured to several different transmission modes. Due to the influence of temperature, the empirical formula of Beattie-Bridgman is used to calculate the pressure of SF6.
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