This paper describes the approach to information sharing being adopted by Synapses, a pan-European project funded under the EU Health Telematics Programme. The emphasis in Synapses is on developing standards to enable...
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This paper describes the approach to information sharing being adopted by Synapses, a pan-European project funded under the EU Health Telematics Programme. The emphasis in Synapses is on developing standards to enable sharing, in whole or in part, of electronic healthcare records between distributed healthcare providers and institutions. The current technological solutions available for data sharing, including federated database systems, gateways, data warehousing, messaging and the web are insufficient on their own to meet the needs of Synapses. Thus in Synapses several different, but complementary technologies are merged in an open, distributed object-oriented environment. Furthermore, in order to safeguard the legal, ethical and clinical integrity of the record, it is essential not only to preserve the meaning of the data being transferred, but also its context and structure. Synapses solves this problem by defining a standard architecture for the federated electronic healthcare record.
The property of external controllability has been well studied for 1D and 2D systems. We provide a nontrivial generalization of earlier work to the nD case. We also provide a simple algebraic characterization of contr...
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The property of external controllability has been well studied for 1D and 2D systems. We provide a nontrivial generalization of earlier work to the nD case. We also provide a simple algebraic characterization of controllability.
In this paper we consider the fault isolation problem for the linear time varying systems. Our approach is based on characterization of the observability of LTV systems by Kalman's rank condition, which permits us...
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ISBN:
(纸本)9783952426906
In this paper we consider the fault isolation problem for the linear time varying systems. Our approach is based on characterization of the observability of LTV systems by Kalman's rank condition, which permits us to design fault detection filters, feeding also the derivatives of the inputs and the outputs. We prove, using a computable method, that the isolation problem can be solved by generalized Luenberger's observer if and only if the detectability and the weak separability of fault signatures holds.
Two major improvements, controlled fan-in and automated initial-circuit production, were made over the random generator of benchmark circuits presented at DAC'94. This is an important progress towards our goal of ...
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Two major improvements, controlled fan-in and automated initial-circuit production, were made over the random generator of benchmark circuits presented at DAC'94. This is an important progress towards our goal of random benchmarking: more general and secure testing, increasing the naturality of random circuits by controlling their attributes, and obtaining test results by which the difference of performances under evaluation can be made clear.
For the well known ball-and-beam system, we design a new saturation control law, which employs state-dependent saturation levels and guarantees global asymptotic stability, not achieved with previous designs.
For the well known ball-and-beam system, we design a new saturation control law, which employs state-dependent saturation levels and guarantees global asymptotic stability, not achieved with previous designs.
This paper presents a PD controller for robot manipulators simultaneously considering joint flexibility, actuators dynamics as well as friction. The convergence analysis of the proposed PD controller is carried out us...
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This paper presents a PD controller for robot manipulators simultaneously considering joint flexibility, actuators dynamics as well as friction. The convergence analysis of the proposed PD controller is carried out using passivity. Global convergence to a desired fixed angular position is proved only using position and velocity measurements.
Trajectory control for a reusable launch vehicle (RLV) is considered in the reentry and launch modes. Decoupling sliding mode controllers are designed to achieve the asymptotic tracking of Euler angles' profiles u...
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Trajectory control for a reusable launch vehicle (RLV) is considered in the reentry and launch modes. Decoupling sliding mode controllers are designed to achieve the asymptotic tracking of Euler angles' profiles upon plant uncertainties and external disturbances. Effectiveness of the sliding mode controllers is confirmed by simulations of trajectory tracking in a trimmed condition for the WB001 RLV studied at NASA Marshall Space Flight Center.
Trajectory control for a reusable launch vehicle (RLV) is considered for two operational modes: reentry and launch modes are considered. Decentralized sliding mode controllers are designed to achieve the de-coupled as...
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Trajectory control for a reusable launch vehicle (RLV) is considered for two operational modes: reentry and launch modes are considered. Decentralized sliding mode controllers are designed to achieve the de-coupled asymptotic tracking of Euler angles' profiles upon plant uncertainties and external disturbances. Two sliding mode control strategies are investigated: direct Euler angles' profiles tracking and angular rates tracking in combination with a coordinated turn inversion. Effectiveness of the sliding mode controllers is confirmed by simulations of a trajectory tracking for the WB001 RLV studied at NASA Marshall Space Flight Center.
The generation of rule-bases in conventional fuzzy logic controllers can be a difficult and time consuming problem for implementation by process operators thus affecting their wider applicability. A Self-Learning Fuzz...
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The generation of rule-bases in conventional fuzzy logic controllers can be a difficult and time consuming problem for implementation by process operators thus affecting their wider applicability. A Self-Learning Fuzzy Logic control (SLFLC) offers a possible solution. A performance study is therefore presented to evaluate the performance of a proposed SLFLC by analysing its transient performance for a variety of on-line tests and examining its ability to generate a consistent set of rules, based on a predetermined criteria. The results presented show that even with a limited knowledge of the process, the self-learning procedure is able to develop a suitable set of rules and produce a satisfactory process performance with some degree of robustness and repeatability when applied to a non-linear single-input single-output (SISO) or multi-input multi-output (MIMO) laboratory liquid-level processes.
The passivity property of dissipative mechanical structures has long been exploited in designing passive controllers that provide robust stability even in the presence of unmodeled dynamics of the system. For an input...
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The passivity property of dissipative mechanical structures has long been exploited in designing passive controllers that provide robust stability even in the presence of unmodeled dynamics of the system. For an input/output map of a flexible structure to be passive, collocation of the actuators and sensors is required and also the sensors should measure the velocity of the system. The so-called smart structures frequently have more sensors than actuators. Therefore, the passive controller can at best utilize only a subset of the sensors. In this paper we consider the design of a squaring down matrix which would render a system passive subject to some additional performance considerations. The problem of obtaining the synthesized passive output is cast as a set of linear matrix inequalities (LMIs) which can be efficiently solved by the LMI Toolbox in Matlab. We apply this procedure with the assumption that the sensors provide both displacement and velocity information which is generally not true. We show that the passive controllers can be implemented without the use of velocity information. By using synthesized passive outputs in addition to naturally occurring passive outputs, we obtain better system performance. We present experimental results involving a single flexible beam with torque input and hub angular position and strain gage outputs.
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