The extended kalman filter is applied to localize a target in a plane from range and bearing measurements and from bearing only measurements received at an observer. The model is a constant bearing between and the tar...
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The Joint Detection/Estimation Filter (JDEF) [1,2] can be utilized to improve the performance of a single Extended Kalmart Filter (EKF) when the problem of estimation involves a large initial variance. In this case th...
This paper addresses the problem of multi sensor detection and high resolution signal parameter estimation using joint maximum a posteriori detection and high order nonlinear filtering techniques. The model-based fusi...
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作者：
P.C. BreedveldElectrical Engineering Department
Control Systems and Computer Engineering Group Control Laboratory and Mechatronics Research Centre Twente University of Twente Enschede Netherlands
The author identifies incentives for the use of computer-aids in modelling and design of physical systems and discusses possible solutions.
The author identifies incentives for the use of computer-aids in modelling and design of physical systems and discusses possible solutions.< >
The use of sensors and actuators along the links of flexible-link manipulators is investigated. Piezoelectric ceramics are considered since they may be utilized both as sensors and actuators. Experimental setups have ...
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The use of sensors and actuators along the links of flexible-link manipulators is investigated. Piezoelectric ceramics are considered since they may be utilized both as sensors and actuators. Experimental setups have been developed to study modeling issues and control design approaches for flexible link manipulators with embedded (or surface-mounted) piezoceramics. The addition of piezoceramics allows a higher level of control for vibration damping. It is shown that piezoceramics substantially reduce the vibration of the arm and hence improve the end-effector positioning of the manipulator. The advocated approach for control design is decentralized frequency shaping.< >
Adaptive nonlinear excitation control of large-scale power systems is considered in this paper. The approach used is an adaptive feedback linearizing control to enhance the robustness to unknown or varying interconnec...
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Adaptive nonlinear excitation control of large-scale power systems is considered in this paper. The approach used is an adaptive feedback linearizing control to enhance the robustness to unknown or varying interconnection parameters like equivalent reactances of the transmission lines. Adaptation in estimated parameters is utilized to achieve an asymptotically exact cancellation of terms. Simulation results for a two generator-infinite bus power system are presented to validate the robustness of the adaptive feedback linearizing scheme to unknown interconnections arising due to faults and subsequent line switchings. The performance using the nonadaptive feedback linearizing control is shown to degrade for network configuration variations arising due to transmission line faults. The studies validate the fact that connective stability and robust performance is maintained for unknown interconnection topology using the adaptive feedback linearizing scheme.< >
A systematic analysis of how CH4/H2 based reactive ion etching affects the optical and electro‐optical properties of GaInAs/InP multiple quantum well pin diode strip‐loaded waveguides is reported. The study includes...
A systematic analysis of how CH4/H2 based reactive ion etching affects the optical and electro‐optical properties of GaInAs/InP multiple quantum well pin diode strip‐loaded waveguides is reported. The study includes measurements of waveguiding properties, optical losses and electro‐optical phase modulation as function of etch depth, radio‐frequency (rf) power, pressure, and the CH4 content in the etch process. It is found that the optical losses of the waveguides are most sensitive to the etching conditions, in particular the rf power. As the rf‐power density was varied from 0.27 to 1.09 W/cm2, the optical losses increased from 6.8 to 19.6 dB/cm. The waveguiding and electro‐optical properties were found to be much less sensitive to the etching parameters. For a 5‐μm‐wide waveguide, the full width half‐maximum of the optical mode is typically 5 μm and the average voltage needed to produce a π phase shift is 4 V corresponding to a modulation response of 15°/V mm.
The Joint Detection/Estimation Filter (JDEF) [1,2] can be utilized to improve the performance of a single Extended Kalmart Filter (EKF) when the problem of estimation involves a large initial variance. In this case th...
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The Joint Detection/Estimation Filter (JDEF) [1,2] can be utilized to improve the performance of a single Extended Kalmart Filter (EKF) when the problem of estimation involves a large initial variance. In this case the JDEF is used to estimate the presence and location of a point target when the received signal is corrupted by multipath. In the formulation of the problem it was assumed that both the target and sensor were stationary and that there was an equal probability of the point target being present or absent along a center look direction. This implementation of the JDEF proved to be quite successful and can be easily expanded to estimate a larger number of unknown parameters.
This paper addresses the problem of multi sensor detection and high resolution signal parameter estimation using joint maximum a posteriori detection and high order nonlinear filtering techniques. The model-based fusi...
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This paper addresses the problem of multi sensor detection and high resolution signal parameter estimation using joint maximum a posteriori detection and high order nonlinear filtering techniques. The model-based fusion approach offers the potential for increased target resolution in range/azimuth space. The technique employs joint detection/estimation filters (JDEF) for target detection and parameter localization. The JDEF approach segments the aggregate nonlinear model over the entire target resolution space into subcells. This partitioning leads to extremely accurtate detection and parameter estimation. The proposed JDEF approach has a built-in capability for automatic data alignment from multiple sensors, and can be used for centralized, noncentralized, and distributed data fusion.
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