This paper investigates the reliable H filtering problem for a class of mixed time-delay systems with stochastic nonlinearities and multiplicative noises. The mixed delays comprise both discrete time-varying and distr...
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This paper investigates the reliable H filtering problem for a class of mixed time-delay systems with stochastic nonlinearities and multiplicative noises. The mixed delays comprise both discrete time-varying and distributed delays. The stochastic nonlinearities in the form of statistical means cover several well-studied nonlinear functions. The multiplicative disturbances are in the form of a scalar Gaussian white noise with unit variance. Furthermore, the failures of sensors are quantified by a variable varying in a given interval. In the presence of mixed delays, stochastic nonlinearities, and multiplicative noises, sufficient conditions for the existence of a reliable H filter are derived, such that the filtering error dynamics is asymptotically mean-square stable and also achieves a guaranteed H performance level. Then, a linear matrix inequality (LMI) approach for designing such a reliable H filter is presented. Finally, a numerical example is provided to illustrate the effectiveness of the developed theoretical results.
Transient faults are the dominated kind of threats to operation safety in networked control systems (NCSs), and the runtime detection of them is difficult but a key point in fault tolerance design. In this paper, a no...
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ISBN:
(纸本)9783037858066
Transient faults are the dominated kind of threats to operation safety in networked control systems (NCSs), and the runtime detection of them is difficult but a key point in fault tolerance design. In this paper, a novel transient fault detection approach is proposed based on multiple system models. System models are established to show how system works in teleological, functional, behavioral, and structural viewpoints, and operational constraints of the models are set up to capture the runtime violation in which the faults are indicated. A case is presented to investigate the using processes of the proposal and the results show that the transient faults are detected efficiently online.
Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. Each neuron can have several spiking rules and for...
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Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. Each neuron can have several spiking rules and forgetting rules and neurons work in parallel in the sense that each neuron that can fire should fire at each computation step. In this work, we consider SN P systems working in the sequential way, where the sequentiality is induced by the minimum number of spikes: at each step, one (resp. all) of the neurons with the minimum number of spikes among the neurons that are active (can fire) will fire, called min-sequentiality (resp. min-pseudo-sequentiality). We prove that SN P systems working in min-sequentiality or min-pseudo-sequentiality are universal as both number generating and accepting devices, where the computation results are encoded by the time elapsed between the first two spikes of the output neuron. The results give positive answers to two open problems formulated in [O.H. lbarra, A. Nun, A. Rodriguez-Paton, Sequential SNP systems based on min/max spike number, Theoretical Computer Science 410 (30-32) (2009) 2982-2991]. (C) 2013 Elsevier B.V. All rights reserved.
In this paper, a novel kind of compound synchronization among four chaotic systems is investigated, where the drive systems have been conceptually divided into two categories: scaling drive systems and base drive syst...
In this paper, a novel kind of compound synchronization among four chaotic systems is investigated, where the drive systems have been conceptually divided into two categories: scaling drive systems and base drive systems. Firstly, a sufficient condition is obtained to ensure compound synchronization among four memristor chaotic oscillator systems based on the adaptive technique. Secondly, a secure communication scheme via adaptive compound synchronization of four memristor chaotic oscillator systems is presented. The corresponding theoretical proofs and numerical simulations are given to demonstrate the validity and feasibility of the proposed control technique. The unpredictability of scaling drive systems can additionally enhance the security of communication. The transmitted signals can be split into several parts loaded in the drive systems to improve the reliability of communication. (C) 2013 American Institute of Physics. [http://***/10.1063/1.4794794]
This paper investigates second-order consensus of multi-agent systems with heterogeneous nonlinear dynamics and time-varying delays by introducing novel decentralized adaptive strategies to both the coupling strengths...
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This paper investigates second-order consensus of multi-agent systems with heterogeneous nonlinear dynamics and time-varying delays by introducing novel decentralized adaptive strategies to both the coupling strengths and the feedback gains. Based on the Lyapunov stability theory, it is proved that the position and the velocity of each agent can converge to those of the virtual leader respectively, when the network is connected and at least one agent is informed, without any global information of the multi-agent system. Finally, some numerical simulations are presented to verify the theoretical results. (C) 2013 Elsevier B.V. All rights reserved.
The connectivity of a group of agents in a flocking scenario is caused either by individual's local cohesion interaction mechanism or by external boundary constraints. The latter case is particularly interesting w...
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The connectivity of a group of agents in a flocking scenario is caused either by individual's local cohesion interaction mechanism or by external boundary constraints. The latter case is particularly interesting when an individual's cohesion ability is not reliable due to the limitation of communication range. The effect of external boundary constraints on the connectivity property of multiagents has been intensively investigated in natural observation and engineering simulation. A theoretical analysis is given in this paper which reveals that a group of agents in a bounded plane can be almost always jointly connected and hence form a complete flock.
There are many multi-objective planning problems in emergency decision-making domain. HTN planners were widely used in emergency decision-making, while they have limited ability to solve optimization, especially multi...
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The study on collective circular motion has attracted researchers over the past years. Many control algorithms have been successfully developed for achieving various circular motion patterns. However, the existing alg...
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The study on collective circular motion has attracted researchers over the past years. Many control algorithms have been successfully developed for achieving various circular motion patterns. However, the existing algorithms rely on more or less global information including a reference beacon, a common reference frame, agent labels, or agent homogeneity. In this paper, an improved algorithm is proposed for a group of heterogeneous agents, not relying on any of the aforementioned global information. The algorithm is supported by analytical analysis and verified in both simulation and experiments. (C) 2013 Elsevier Ltd. All rights reserved.
Spectrum mapping reflects the strength of brain electrical activity in different frequency *** current study analyzes changes in electroencephalography(EEG) after spinal cord injury(SCI) on the basis of spectrum *** s...
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ISBN:
(纸本)9781467358873
Spectrum mapping reflects the strength of brain electrical activity in different frequency *** current study analyzes changes in electroencephalography(EEG) after spinal cord injury(SCI) on the basis of spectrum *** spectrum mappings of SCI patients and normal subjects,the fact that beta rhythm dominated in brain electrical activity during walking period was *** addition,the proportion of delta wave increased and slightly exceeded that of beta wave after spinal cord injury and power values in delta band of SCI patients performed greater than that of normal subjects.
Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. Asynchronous SN P systems are non-synchronized sys...
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Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. Asynchronous SN P systems are non-synchronized systems, where the use of spiking rules (even if they are enabled by the contents of neurons) is not obligatory. It remains open whether asynchronous SN P systems with standard spiking rules are equivalent with Turing machines. In this paper, with a biological inspiration (in order to achieve some specific biological functioning, neurons from the same functioning motif or community work synchronously to cooperate with each other), we introduce the notion of local synchronization into asynchronous SN P systems. The computation power of asynchronous SN P systems with local synchronization is investigated. Such systems consisting of general neurons (respectively, unbounded neurons) and using standard spiking rules are proved to be universal. Asynchronous SN P systems with local synchronization consisting of bounded neurons and using standard spiking rules characterize the semilinear sets of natural numbers. These results show that the local synchronization is useful, it provides some "programming capacity" useful for achieving a desired computation power. el (C) 2012 Elsevier Inc. All rights reserved.
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