Linear PID controllers are commonly used as an electrical component to decrease the error between anticipated set value and actual measured values for control of various benchmarked systems. The Multi-Loop Linear PID ...
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This work presents a distributed method for controlcenters to monitor the operating condition of a power network, i.e.;to estimate the network state, and to ultimately determine the occurrence of threatening situatio...
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An important index to evaluate the process efficiency of coal preparation is the mineral liberation degree of pulverized coal,which is greatly influenced by the particle size and shape distribution acquired by image *...
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An important index to evaluate the process efficiency of coal preparation is the mineral liberation degree of pulverized coal,which is greatly influenced by the particle size and shape distribution acquired by image ***,the agglomeration effect of fine powders and the edge effect of granular images caused by scanning electron microscopy greatly affect the precision of particle image *** this study,we propose a novel image segmentation method derived from mask regional convolutional neural network based on deep learning for recognizing fine coal ***,an atrous convolution is introduced into our network to learn the image feature of multi-sized powders,which can reduce the missing segmentation of small-sized agglomerated ***,a new mask loss function combing focal loss and dice coefficient is used to overcome the false segmentation caused by the edge *** final comparative experimental results show that our method achieves the best results of 94.43%and 91.44%on AP50 and AP75 respectively among the comparison *** addition,in order to provide an effective method for particle size analysis of coal particles,we study the particle size distribution of coal powders based on the proposed image segmentation method and obtain a good curve relationship between cumulative mass fraction and particle size.
In the paper, a teaching methodology for the design of controllers for cyber-physical system (CPS) is presented. The proposed approach is supported both by special tools (for modelling, verifying, and implementing of ...
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We consider adaptive control via state feedback for a class of feedback linearizable discrete-time systems. To parallel the development in adaptive nonlinear continuous-time control, we employ a systematic procedure t...
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We consider adaptive control via state feedback for a class of feedback linearizable discrete-time systems. To parallel the development in adaptive nonlinear continuous-time control, we employ a systematic procedure to design the controllers and the update laws for the so-called parametric-strict-feedback form and the parametric-pure-feedback form. The geometric conditions that characterize this class of systems are given. Depending on the growth conditions of the nonlinearities, global boundedness and convergence are achieved with various update laws. We also develop adaptive indirect schemes with an observer-based identifier for the parametric-strict-feedback form. As a result, the drawback of overparametrization in direct schemes can be removed.
We investigate limits of performance in reference-tracking and path-following and highlight an essential difference between them. For a class of nonlinear systems, we show that in reference-tracking, the smallest achi...
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We investigate limits of performance in reference-tracking and path-following and highlight an essential difference between them. For a class of nonlinear systems, we show that in reference-tracking, the smallest achievable L 2 norm of the tracking error is equal to the least amount of control energy needed to stabilize the zero-dynamics of the error system. We then show that this fundamental performance limitation does not exist when the control objective is to force the output to follow a geometric path without a timing law assigned to it. This is true even when an additional desired speed assignment is required to be satisfied asymptotically or in finite time.
In this issue of IEEE control Systems Magazine, we speak with João Hespanha, who is a professor and chair of the Department of Electrical and Computer engineering and Director of the center for control, Dynamical...
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We consider a game played between a hider, who hides a static object in one of several possible positions in a bounded planar region, and a searcher, who wishes to reach the object by querying sensors placed in the pl...
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作者:
Savla, KetanBullo, FrancescoCenter for Control
Dynamical Systems and Computation University of California at Santa Barbara 2338 Engineering Bldg II Santa BarbaraCA93106-5070 United States
We consider a formation control problem for a robotic network with limited communication and controlled motion abilities. We propose a novel control structure that organizes the robots in concentric layers and that as...
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ISBN:
(纸本)9781604237924
We consider a formation control problem for a robotic network with limited communication and controlled motion abilities. We propose a novel control structure that organizes the robots in concentric layers and that associates to each layer a local leader. Through a load balancing algorithm on the asynchronous network of layers we allocate the desired number of robots on each layer. A final uniform spreading algorithm leads the robots to a lattice-like formation. This novel distributed communication and control algorithm runs in linear time in the worst case.
Both fault-tolerant design (FTD) and fault-tolerant control (FTC) are receiving increasing attention from the scientific community. Both intend to develop and implement solutions for accommodating faults which are ine...
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