This paper addresses the attack frequency estimation for networked control systems suffering from denial of service (DoS) attacks. First, the networked control systems (NCSs) subjecting to DoS attacks are modeled as s...
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This paper addresses the attack frequency estimation for networked control systems suffering from denial of service (DoS) attacks. First, the networked control systems (NCSs) subjecting to DoS attacks are modeled as switched systems between normal systems and attacked systems. Secondly, by considering the worst scenario of DoS attacks with energy constraints, the maximum allowable update interval is well characterized under consideration of the limitation of the event-triggered control scheme and discrete sampling. Then, by use of Lyapunov theory, a stability criterion is derived to obtain the maximum number of DoS attacks while ensuring the globally exponentially stable of studied system. Finally, an example is used to show the validity of proposed results.
Studies had reported that the performance of multi-objective gaze-independent BCIs under covert attention conditions was lower than the matrix speller BCIs under overt attention conditions. However, no research has co...
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ISBN:
(纸本)9781509012572
Studies had reported that the performance of multi-objective gaze-independent BCIs under covert attention conditions was lower than the matrix speller BCIs under overt attention conditions. However, no research has compared the performance of multi-objective gaze-independent BCIs under covert attention conditions with under overt attention conditions,when visual angle doesn't exceed 1o. For exploration of the above problem, two paradigms developed from Geometric Speller(Geo Spell) have been built. Ten healthy participants had participated in this study. Results show that the performance of the gaze-independent BCI is substantially higher when the participant could gaze directly at targets. However, the multi-objective gaze-independent BCIs under covert attention conditions are competitive in terms of evoking N200(p<0.05).
For probabilistic monitoring of multimode processes,this paper introduced a monitoring scheme that integrates joint probability density and weighted probabilistic principal component analysis based on coefficient of v...
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For probabilistic monitoring of multimode processes,this paper introduced a monitoring scheme that integrates joint probability density and weighted probabilistic principal component analysis based on coefficient of variation(CV-WPPCA). A joint probability based on 2 statistic was constructed for mode identification. After it concentrated maximum fault-relevant information into dominant subspace by identifying and extracting important noise factors from the residual subspace,the new approach utilized a weighting strategy based on coefficient of variation method to highlight the useful information in the reconstructed dominant subspace. A case study on the Tennessee Eastman process was applied to demonstrate the efficiency of the proposed method.
The Echo State Network(ESN) is a novel and special type of recurrent neural network that has become increasingly popular in machine learning domains such as time series forecasting, data clustering, and nonlinear syst...
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The Echo State Network(ESN) is a novel and special type of recurrent neural network that has become increasingly popular in machine learning domains such as time series forecasting, data clustering, and nonlinear system identification. This network is characterized by large randomly constructed recurrent neural networks(RNN) called "reservoir", in which the neurons are sparsely connected and the weights remain unchanged during training, leaving the simple training of the output layer. However, the reservoir is criticized for its randomness and instability because of the random initialization of the connectivity and weights. In this article, we introduced the selective ensemble learning based on BPSO to improve the generalization performance of ESN. Two widely studied tasks are used to prove the feasibility and priority of the selective ESN ensemble based on BPSO(SESNE-BPSO) model. And the results indicate that the SESNE-BPSO model performs better than the general ESN ensemble, the single standard ESN and several other improved ESN models.
This paper is concerned with local synchronization of multiplex networks which correspond to networked systems coupled by two different *** network topologies associated with different coupling delays are ***,a suffic...
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ISBN:
(纸本)9781509009107
This paper is concerned with local synchronization of multiplex networks which correspond to networked systems coupled by two different *** network topologies associated with different coupling delays are ***,a sufficient delay-dependent condition for local synchronization is derived based on Lyapunov functional *** a decoupled method is applied in the case that two network topology matrices are diagonalizable and ***,a numerical example is given to illustrate the effectiveness of the proposed method.
The gaze-independent brain-computer interface (BCI) based on rapid serial visual presentation (RSVP) is an extension of the oddball paradigm, and can facilitate communication for people with severe neuromuscular disor...
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The gaze-independent brain-computer interface (BCI) based on rapid serial visual presentation (RSVP) is an extension of the oddball paradigm, and can facilitate communication for people with severe neuromuscular disorders. Recently, some researches showed that the gaze-independent BCIs based on RSVP used dummy face pictures as stimuli obtained high performance. However, the user' fatigue wasn't be fully considered. Therefore, it is necessary to reduce users' fatigue and to further improve the performance of them. Some studies suggested that face elicited high event related potential (ERP) were mediated by the eye region. That is, face with only eyes region could evoke as high ERPs as completed face. In this paper, an improved paradigm was presented which used dummy face with only eyes region as stimulus. Ten healthy subjects participated in our experiment. Compared with the complete dummy face stimulus, the results showed that the dummy face with only eyes region stimulus could evoke higher N200 and VPP amplitudes. Results from users' feedback also showed the dummy face with only eyes region pattern made them more relaxed.
This paper is concerned with the distributed L 2 - L ∞ state estimation for discrete-time delayed neural networks with missing measurements and sensor failures. The model of neural networks is constructed by the co...
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ISBN:
(纸本)9781467384155
This paper is concerned with the distributed L 2 - L ∞ state estimation for discrete-time delayed neural networks with missing measurements and sensor failures. The model of neural networks is constructed by the combination with nonlinear functions and state space expressions. Time-varying delays are assumed to have the lower bounds and the upper bounds, and the missing measurements and the sensor failures are described by a stochastic Bernoulli distributed variable and uncertainties, respectively. By using a distributed network, Kronecker product, linear matrix inequalities (LMIs) technology and the solving optimization problems, a sufficient condition is derived to ensure that the filtering error system is stochastically asymptotically stable and achieves the optimal L 2 - L ∞ performance. Finally, a simulation example is given to demonstrate the effectiveness of the proposed method.
This paper is concerned with robust H∞ self-triggered control of networked systems. The system considered here includes parameter uncertainties and packet dropouts. In order to compensate for the existence of determi...
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ISBN:
(纸本)9781467380768
This paper is concerned with robust H∞ self-triggered control of networked systems. The system considered here includes parameter uncertainties and packet dropouts. In order to compensate for the existence of deterministic packet dropouts, a new self-triggered control scheme is proposed. The main feature of the proposed self-triggered control strategy is that the next control task is predicted based on the self-triggered technique, in which the predicted event interval is divided equally for the sake of packet dropouts. The triggered condition is developed to ensure the stability of the uncertain sampled system by utilizing an uncertain algebraic Riccati equation and the comparison principle. Finally, an example of the inverted pendulum of a cart is provided to illustrate the effectiveness of the proposed results.
Full form dynamic linearization controller based data-driven model free adaptive control algorithm has been studied in control *** method merely requires the I/O data of the plant to design the controller and is easy ...
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ISBN:
(纸本)9781467397155
Full form dynamic linearization controller based data-driven model free adaptive control algorithm has been studied in control *** method merely requires the I/O data of the plant to design the controller and is easy for ***,there still lacks necessary research on the conditions which can guarantee the stability of the closed loop *** paper presents a stability analysis result for a class of nonlinear *** some mild assumptions,the convergence of the output regulating error was derived by rigorous mathematical method,which guarantees the correctness of the proposed method in theory.
This paper investigates the distributed containment control of multi-agent systems with multiple stationary leaders with event-triggering protocols.A distributed event-triggering protocol is proposed,where the trigger...
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ISBN:
(纸本)9781467397155
This paper investigates the distributed containment control of multi-agent systems with multiple stationary leaders with event-triggering protocols.A distributed event-triggering protocol is proposed,where the triggering function of each agent with an exponentially decreasing threshold is developed to guarantee the convergence of the followers to the convex hull formed by the ***,simulations are given to illustrate the proposed event-triggering algorithm.
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