Visual localization is a crucial problem in mobile robotics and autonomous driving. One solution is to retrieve images with known pose from a database for the localization of query images. However, in environments wit...
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This article investigates the indoor exclusion zones (EZs) according to room dimensions and compares them with the free space EZs. Fluctuations in the received power level with respect to the distance for various path...
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This article investigates the indoor exclusion zones (EZs) according to room dimensions and compares them with the free space EZs. Fluctuations in the received power level with respect to the distance for various paths are investigated.
Recently, in the field of education, learning methods called active learning and Global Project Based Learning are paying attention. We suggest education material and theme as the Global engineering PBL education. So ...
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All flow systems are subject to transport delays, which are governed by the flow rates in the system. When the flow rates themselves are control inputs, the system becomes subject to input-dependent state delays, whic...
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This paper studies the controllability of networked multi-input-multi-output (MIMO) systems, in which the network topology is weighted and directed, and the nodes are heterogeneous higher-dimensional linear time-invar...
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In this paper, a fault diagnosis approach is proposed for power systems based on deterministic learning (DL) theory. First, a learning estimator is constructed to obtain knowledge of the fault dynamics in the power ne...
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In this paper, a fault diagnosis approach is proposed for power systems based on deterministic learning (DL) theory. First, a learning estimator is constructed to obtain knowledge of the fault dynamics in the power networks. Based on DL, local accurate approximations of the unknown fault functions are achieved. Second, a distributed fault diagnosis scheme is designed to monitor the power systems. The knowledge of the fault dynamics is used to detect the occurrence of a fault. Simulation studies are included to demonstrate the effectiveness of the approach.
This paper seeks the optimization of soot-blowing operations for heat transfer surfaces in coal-fired power plant boiler.A preventive soot blowing strategy based on state of health prediction for heat transfer surface...
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This paper seeks the optimization of soot-blowing operations for heat transfer surfaces in coal-fired power plant boiler.A preventive soot blowing strategy based on state of health prediction for heat transfer surface was *** average state of health of heat transfer surface was forecasted as the threshold to draft preventive soot blowing *** to the theory of renewal process,an optimization model with the system prediction interval and the threshold of preventive soot blowing operation as the optimization variables and minimize average energy losses as the target function was *** using Particle Swarm Optimization(PSO),the optimal preventive cycle and soot-blowing threshold were obtained,and the long-run average cost rate was the *** model is validated with experiment data of a 300 MW coal-fired power plant boiler and the parameters of prediction model are *** results can verify the feasibility of proposed *** can be used as the guide for the optimization of soot blowing in coal-fired power plant to improve the energy conservation level.
In this paper, the task-space cooperative tracking control problem of multi-robot systems on strongly connected digraphs is studied. To solve such synchronization problem, a novel adaptive control approach is proposed...
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In this paper, the task-space cooperative tracking control problem of multi-robot systems on strongly connected digraphs is studied. To solve such synchronization problem, a novel adaptive control approach is proposed by introducing task-space synchronization errors between neighboring robotic systems into the task-space reference velocity/acceleration. To cope with unknown kinematic and dynamic parameters, adaptive laws are developed without explicitly incorporating synchronization terms. Lyapunov stability theory is used to rigorously prove asymptotical convergence of the task-space synchronization and tracking errors by fully considering the time delays. Finally, simulation results are given to illustrate the performance of the proposed task-space cooperative tracking control approach.
The network structure and functional properties of gene regulatory system and their relationships arc an important research field in systems biology. In this paper, a new improved model is proposed based on the study ...
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The network structure and functional properties of gene regulatory system and their relationships arc an important research field in systems biology. In this paper, a new improved model is proposed based on the study of gene expression process. The model takes into account the effect of protein concentration on the gene expression, so as to obtain a new bifurcation point and improve the performance of the system. The validity of the model is verified by theoretical analysis and data simulation.
This paper focuses on the fractional order linear systems subject to actuator saturation and external disturbance, and proposes method to estimate the domain of attraction. The quadratic Lyapunov functions are adopted...
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