The paper presents a study and comparison of static feedforward neural network performance for prediction of lung motion. A feedforward neural network with local and global optimization to predict human lung respirati...
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ISBN:
(纸本)9781617389849
The paper presents a study and comparison of static feedforward neural network performance for prediction of lung motion. A feedforward neural network with local and global optimization to predict human lung respiration is presented. Applicability of the Levenberg-Marquardt algorithm and the backpropagation learning rule during the batch training are discussed. Sliding window learning for retraining static neural network is applied as a more efficient learning prediction method. Prediction results are presented and compared to demonstrate the effectiveness of the applied neural network method.
Inattentive and impaired drivers are a major cause of road accidents. Especially when impaired by drugs, fatigue or physical handicaps, the skill levels, driving habits, capabilities and decisions of a human driver ar...
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ISBN:
(纸本)9781424465880
Inattentive and impaired drivers are a major cause of road accidents. Especially when impaired by drugs, fatigue or physical handicaps, the skill levels, driving habits, capabilities and decisions of a human driver are adversely affected. In such cases, the ability of a driver to safely operate a vehicle may be augmented considerably by well tuned and driver adaptive warning and assistance systems. Data from 105 drivers were collected in the Drive Safe project on an approximately 30 km route containing both city and highway traffic. The data was used to develop methods for determining inattentive/impaired drivers. This paper is on a lane keeping driver assistant system that is activated once such an inattentive/impaired driver who cannot perform a good task of lane keeping by himself is determined. Robust, parameter space based and velocity scheduled control design techniques carried out in the COMES toolbox are used for designing the lane keeping controller. A camera based image processing algorithm for lane detection and tracking is used. The image processing algorithm and the lane keeping assistant control system are evaluated first using offline simulations and then using more realistic, real time hardware-in-the-loop simulations. While a relatively simple linear model is used for lane keeping controller design, evaluation of the designed controller also uses the high fidelity, high order, realistic and nonlinear vehicle model in Carmaker HiL. A PC is used for processing video frames coming from an in-vehicle camera pointed towards the road ahead. Lane detection and tracking computations including fitting of composite Bezier curves to curved lanes are carried out in this PC. A dSpace microautobox is available for obtaining the lane data from the PC and the Carmaker vehicle data from the dSpace compact simulator used and calculating the required steering actions and sending them to the Carmaker vehicle model. Offline and real time simulation results demonstrate t
Accurate measurement of multiphase flows, including gas/solids, gas/liquid and liquid/liquid flows, is still challenging. In principle, electrical capacitance tomography (ECT) can be used to measure the concentration ...
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In the framework of structural health monitoring the research proposed in this paper focuses on a new methodology to model the nonlinear group velocity characteristics of guided waves in plate-like composite materials...
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In the framework of structural health monitoring the research proposed in this paper focuses on a new methodology to model the nonlinear group velocity characteristics of guided waves in plate-like composite materials based on a experimental dataset. The detection and localization of damages in these composite materials is demanding due to the anisotropic wave propagation. Therefore, a well generalizing and smooth nonlinear model for the group velocities is an important part in the damage localization system. The underlying work analyzes and compares different model structures. The incorporation of physical knowledge about the process into the modeling process turns out to be of fundamental importance. Furthermore, this paper points out which nonlinear optimization approach should be applied to deliver reproducible and robust solutions.
A Micro WEDM pulse generator is designed in this paper. It can adapt to the needs of various processing conditions. In additional, fuzzy control theory was applied to the pulse generator, which can automatically a...
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A Micro WEDM pulse generator is designed in this paper. It can adapt to the needs of various processing conditions. In additional, fuzzy control theory was applied to the pulse generator, which can automatically adjust the processing parameters to improve machining accuracy. So a more powerful Micro WEDM, which can achieve better processing results,is achieved.
Electrical capacitance tomography (ECT) has been developed for two decades to visualize the internal behavior of industrial processes containing dielectric components. Three different ECT systems have been developed: ...
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The functional development and test of complex automotive mechatronic devices require detailed and sophisticated vehicle models that have to fulfill real-time requirements if they are to be used in hardware-in-the-loo...
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The functional development and test of complex automotive mechatronic devices require detailed and sophisticated vehicle models that have to fulfill real-time requirements if they are to be used in hardware-in-the-loop simulations. There is an increasing demand for more detailed plant models as a basis for the development and test of complex control algorithms in ride-comfort. This paper presents a method to integrate ride-comfort characteristics into well-established real-time vehicle models as regards engine-, drivetrain- and carbody vibrations. Thus it is possible to simulate characteristics that are essential for the development and test of comfort-related automotive mechatronic devices.
In an introduction, the present paper gives a short survey of existing vehicle-dynamics control systems that is based on some examples and thus does not claim to be complete. There is a tendency towards an increased i...
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In an introduction, the present paper gives a short survey of existing vehicle-dynamics control systems that is based on some examples and thus does not claim to be complete. There is a tendency towards an increased interlinking of these systems and, as a result, a need for flexible automotive testing platforms. As an approach, an electric X-by-wire test vehicle which was designed and mounted for developing and testing new strategies of vehicle-dynamics control is presented. It is built up modularly and provides numerous degrees of freedom that enable a control strategy which is based on an optimization of the tire forces. That strategy is also presented. It takes into account possible actuator breakdowns and uses the redundancy in the vehicle to realize the desired movement even in the case of such a breakdown. An outlook on future possibilities in vehicle-dynamics control resulting from the use of self-optimization is also given.
This paper considers eigenstructure assignment (ESA) in discrete time-delay systems via memory output feedback. Parametric expression for the left and right closed-loop eigenvectors associated with the closed-loop eig...
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This paper considers eigenstructure assignment (ESA) in discrete time-delay systems via memory output feedback. Parametric expression for the left and right closed-loop eigenvectors associated with the closed-loop eigenvalues and two simple and complete parametric solutions for the feedback gain matrix are obtained on the basis of the parametric solution of the generalized high-order Sylvester matrix equation. This method provides more freedom, possesses good reliability, and does not impose any restriction on the closed-loop eigenvalues. A numerical example demonstrates that this approach is simple and effective for design of discrete time-delay systems.
This paper proposes a memory state feedback controller for discrete time-delay systems based on the state feedback eigenstructure assignment (ESA) result for high-order linear systems. It is shown that the problem is ...
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This paper proposes a memory state feedback controller for discrete time-delay systems based on the state feedback eigenstructure assignment (ESA) result for high-order linear systems. It is shown that the problem is closely related with a type of so-called high-order Sylvester matrix equations. Through establishing two complete parametric solutions to this type of matrix equations, two complete parametric methods for the proposed eigenstructure assignment problem are presented. Both methods give simple complete parametric expression for the feedback gains and the closed loop eigenvector matrices. The first one mainly depends one a series of singular value decompositions, and is thus numerically simple and reliable; the second one utilizes the right factorization of the systems, and allows the closed-loop eigenvalues to be set undetermined and sought via certain optimization procedures. An example shows the effect of the proposed approaches.
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