This paper is devoted to the modeling problem of hypersonic vehicle with significant couplings. An integrated approach is developed to analytically model the dynamics of hypersonic vehicle, in which the effects of var...
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ISBN:
(纸本)9781467325813
This paper is devoted to the modeling problem of hypersonic vehicle with significant couplings. An integrated approach is developed to analytically model the dynamics of hypersonic vehicle, in which the effects of variable mass, spherical rotating earth, and couplings among the sub-models are considered. Furthermore, a preliminary analysis is conducted using the general data of a hypersonic vehicle. The simulation results show that the maximum of the Coriolis force can reach values up to 7.02% of the vehicle weight, and that the thermal load determined by the nonuniform aerodynamic heating and the properties of the structure has a significant influence on the elastic deformation.
An important research challenge that needs to be address in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of in...
An important research challenge that needs to be address in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of intelligent; that is, with a high level of flexibility and autonomy. This intelligence needs to be developed by understanding the environment in which these systems operate. However, these environments could be non-stationary, unpredictably changing and partially or completely unknown. For this reason, in order to develop an intelligent system - able to face with problems such as modeling, control, prediction, classification or data mining - in such environments, they need to be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. This is the cornerstone behind the Evolving and Adaptive Intelligent systems.
Automatic EEG spike detection provide valuable information for diagnosis of epilepsy. In the past 30 years, a number of algorithms were proposed. However, the basic idea of most algorithms is to identify spike activit...
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Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state op...
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Geometric fault detection and isolation filters are known for having excellent fault isolation properties. However, they are generally assumed to be sensitive to model uncertainty and noise. This paper proposes a robu...
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A hyperbolic wavelet concept that can be used to describe, represent, and identify signals belonging to the space of functions H2 on the unit disc is constructed. The wavelet is derived as the voice-transform belongin...
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A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The id...
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ISBN:
(纸本)9780889868632
A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The identification of the structurally different discrete event system models describing a system in its normal and/or faulty modes was used for model-based isolation of the considered faulty modes. From the available process mining techniques that allow for the automatic construction of process models in Petri net form based on event logs, the genetic algorithm-based structure identification procedure has been found to be most capable of identifying the characteristic structural elements of the faulty models. The proposed procedures are illustrated on a simple example of an operated parking gate automaton with two faulty modes.
This paper considers the design of robust H∞ filters for continuous-time linear systems with uncertainties described by integral quadratic constraints (IQCs). The synthesis problem can be converted into an infinite-d...
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In this paper a modeling method and a control approach is proposed for minimising both travel times and traffic emission on freeways. A simulation-based investigation among emission models is performed to determine th...
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The paper investigates the problem of uncertainty modeling and constrained robust control of urban traffic. Linear polytopic approach is used by state-space representations to describe the uncertain network system. In...
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