Multicast address allocation is a key and difficult points of HLA simulation system. Multicast address allocation need to select or improve according to the actual application needs. In the data distribution managemen...
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The aim of this work is to present an entropy-like Lyapunov function based dynamic feedback design technique for quasi-polynomial and Lotka-Volterra systems. It is shown, that the dynamic feedback design problem is eq...
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Consider the nonlinear estimation fusion problem for dynamic stochastic process in sensor networks. Due to bandwidth or energy constraints, only quantized messages of the original information from local sensor are ava...
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ISBN:
(纸本)9781467355322
Consider the nonlinear estimation fusion problem for dynamic stochastic process in sensor networks. Due to bandwidth or energy constraints, only quantized messages of the original information from local sensor are available. For a class of vector state-vector observation model, a quantized cubature particle filter (CPF) method is presented in this paper. Firstly, each sensor quantizes each component of the measurement verbatim and sends to fusion center (FC). Subsequently, FC compresses the quantized messages from local sensors in best linear unbiased estimation (BLUE) fusion rule. Finally, CPF is used to obtain a state estimation. computer simulations show effectiveness of the developed method.
In this paper we provide an overview of current research trends, challenges and issues in the domain of smart energy efficient buildings. Based on current research and literature we discuss topics like technology inte...
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ISBN:
(纸本)9789898565556
In this paper we provide an overview of current research trends, challenges and issues in the domain of smart energy efficient buildings. Based on current research and literature we discuss topics like technology integration, semantic interoperability, automation, and the importance of considering user needs. Furthermore, we introduce a living lab approach, which allows us to conduct research on these topics in a real smart building environment. This living lab is a system for enabling smart energy efficient building applications based on a middleware approach. We describe the software design and the real-world deployment of this system in ten rooms of a university and eight rooms of an office building.
A transfer function representation for a class of distributed parameter systems described by two hyperbolic partial differential equations defined on a one-dimensional spatial domain is considered. Compared to the pre...
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ISBN:
(纸本)9781479928569
A transfer function representation for a class of distributed parameter systems described by two hyperbolic partial differential equations defined on a one-dimensional spatial domain is considered. Compared to the previously presented results, the paper focuses on the transfer function representation for systems described by strongly coupled hyperbolic equations. Formulas for converting the transfer function matrix of the decoupled canonical system into the form describing the original, strongly coupled system are proposed for two different boundary input configurations. The considerations are illustrated with a practical example of an electrical transmission line.
An angle-of-attack tracking autopilot for Hypersonic Reentry Vehicle (HRV) driven by Reaction control System (RCS) is designed based on Linear Matrix Inequalities in this paper. During the initial reentry phase of hyp...
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ISBN:
(纸本)9781624102240
An angle-of-attack tracking autopilot for Hypersonic Reentry Vehicle (HRV) driven by Reaction control System (RCS) is designed based on Linear Matrix Inequalities in this paper. During the initial reentry phase of hypersonic vehicle, the efficacy of aerodynamics surface is insufficient due to low dynamic pressure. Thus RCS is utilized to act as the control actuator, with saturating and quantizing output. A control design technique based on Linear Matrix Inequalities is employed in this paper to determine a state feedback stabilizing gain through solving an optimization problem. The domain of attraction of the control system relating to the stabilizing gain can be estimated simultaneously. In the design process, the level of saturation and quantization error bound of RCS can be considered explicitly. Input-to-State Stability of the closed-loop system is proved by selecting appropriate comparison functions. The performance of the designed controller is demonstrated by simulations with linear and nonlinear dynamics model of HRV.
Efficiency of the autofocusing algorithm implementations based on various orthogonal transforms is examined. The algorithm uses the variance of an image acquired by a sensor as a focus function. To compute the estimat...
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Efficiency of the autofocusing algorithm implementations based on various orthogonal transforms is examined. The algorithm uses the variance of an image acquired by a sensor as a focus function. To compute the estimate of the variance we exploit the equivalence between that estimate and the image orthogonal expansion. Energy consumption of three implementations exploiting either of the following fast orthogonal transforms: the discrete cosine, the Walsh-Hadamard, and the Haar wavelet one, is evaluated and compared. Furthermore, it is conjectured that the computation precision can considerably be reduced if the image is heavily corrupted by the noise, and a simple problem of optimal word bit-length selection with respect to the signal variance is analyzed.
The ability to nondestructively detect the presence of a single, traveling photon has been a long-standing goal in optics, with applications in quantum information and measurement. Realizing such a detector is complic...
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The ability to nondestructively detect the presence of a single, traveling photon has been a long-standing goal in optics, with applications in quantum information and measurement. Realizing such a detector is complicated by the fact that photon-photon interactions are typically very weak. At microwave frequencies, very strong effective photon-photon interactions in a waveguide have recently been demonstrated. Here we show how this type of interaction can be used to realize a quantum nondemolition measurement of a single propagating microwave photon. The scheme we propose uses a chain of solid-state three-level systems (transmons) cascaded through circulators which suppress photon backscattering. Our theoretical analysis shows that microwave-photon detection with fidelity around 90% can be realized with existing technologies.
Different variants of the S-procedure provides a very important tool in robust stability and robust performance analysis. Concerning performance assessment this paper shows that the design framework based on the full ...
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ISBN:
(纸本)9781479901890
Different variants of the S-procedure provides a very important tool in robust stability and robust performance analysis. Concerning performance assessment this paper shows that the design framework based on the full block S-procedure (extended KYP lemma) contains an inherent conservativeness. The main result of the paper is a multivariate version of the classical S-procedure, stated for negative graph subspaces. A new solvability condition for the Elimination lemma is also provided.
Recent progress in Kalman filters to estimate states and parameters in nonlinear systems has provided the possibility of applying such approaches to neural systems. We here apply the nonlinear method of unscented Kalm...
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Recent progress in Kalman filters to estimate states and parameters in nonlinear systems has provided the possibility of applying such approaches to neural systems. We here apply the nonlinear method of unscented Kalman filters (UKFs) to observe states and estimate parameters in a neural mass model that can simulate distinct rhythms in electroencephalography (EEG) including dynamical evolution during epilepsy seizures. We demonstrate the efficiency of the UKF in estimating states and parameters. We also develop an UKF-based control strategy to modulate the dynamics of the neural mass model. In this strategy the UKF plays the role of observing states, and the control law is constructed via the estimated states. We demonstrate the feasibility of using such a strategy to suppress epileptiform spikes in the neural mass model.
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