This paper presents a new method for measuring instantaneous treadmill speed. The method consists of two parts: (1) a motion-capture system and reflective squares placed directly on the treadmill belt, and (2) an algo...
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This paper presents a new method for measuring instantaneous treadmill speed. The method consists of two parts: (1) a motion-capture system and reflective squares placed directly on the treadmill belt, and (2) an algorithm for estimating belt speed and distance traveled from the measured positions of the reflective squares. The method was tested with a single subject walking on an instrumented treadmill. The method is easy to set up and results in an accurate estimate of treadmill speed that is conveniently synchronized with the output of the motion-capture system. Published by Elsevier B.V.
This paper addresses a problem of adaptive stabilization of minimum-phase plant under Lipschitz uncertainty and bounded external disturbance. Solution of the problem is based on the method of recurrent objective inequ...
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This paper considers the problem of optimizing the burst format of packet transmission to perform enhanced-accuracy estimation of Doppler-shift and Doppler-rate of the carrier of the received signal, due to relative m...
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This paper considers the problem of optimizing the burst format of packet transmission to perform enhanced-accuracy estimation of Doppler-shift and Doppler-rate of the carrier of the received signal, due to relative motion between the transmitter and the receiver. Two novel burst formats that minimize the Doppler-shift and the Doppler-rate Cramer-Rao bounds (CRBs) for the joint estimation of carrier phase/Doppler-shift and of the Doppler-rate are derived, and a data-aided (DA) estimation algorithm suitable for each optimal burst format is presented. Performance of the newly derived estimators is evaluated by analysis and by simulation, showing that such algorithms attain their relevant CRBs with very low complexity, so that they can be directly embedded into new-generation digital modems for satellite communications at low SNR.
A new constrained predictive PID controller is presented to achieve stability and performance robustness in Wireless Networked Control Systems (WNCS), where the communication is subject to dropouts in both communicati...
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In this paper an approach is studied to guaranteed (set-membership) state estimation for robust output-feedback model predictive control (MPC) with hard input and state constraints. Uncertainties are assumed to arise ...
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Virtual environment (VE), as the proxy of slave contact environment, is the most promising technology to solve the time-delay problems in teleoperation. The accuracy of the predicted force depends not only on the reli...
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Virtual environment (VE), as the proxy of slave contact environment, is the most promising technology to solve the time-delay problems in teleoperation. The accuracy of the predicted force depends not only on the reliability of the contact model but also on the estimation algorithm's adaptability. A new contact model is proposed to be applicable in various materials, which includes both the Kelvin-Voigt model (KVM) and Hunt-Crossley model (HCM). An extra parameter is set in the model to express the capacity of continuous switching between KVM and HCM, whose rationality is proved based on the energy loss. The energy loss is proportional to a power of impact velocity, and the exponent is bounded at [2,3], which exactly lies between KVM and HCM. Furthermore, to estimate the parameters with a single-stage method, the nonlinear model is linearized approximatively with logarithm function and polynomials. Then, the recursive least squares (RLS) algorithm combining forgetting factor and self-perturbing action is designed to identify the four parameters online. Finally, the model's continuous switching is verified with ideal simulation, and the model parameters are continuously changed without jumpy switch error. In the experiment, sponge, foam, and human hand represent the complex contact materials of the slave environment where the predicted force is shown to follow the real contact force with enough accuracy. Therefore, the virtual model can be considered the substitution of slave contact environment so that the feedback force in master can be calculated in real-time.
An estimator identifying the flow rate through a rotary blood pump was developed. This estimation algorithm uses the pump current and speed signals to estimate the blood flow rate through the pump. The algorithm was d...
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An estimator identifying the flow rate through a rotary blood pump was developed. This estimation algorithm uses the pump current and speed signals to estimate the blood flow rate through the pump. The algorithm was derived based on the force balance between the electric torque generated by the motor and the load torque, including the mechanical losses. The corresponding estimator parameters were identified using experimental data in the laboratory. The estimator performed well in mock circulatory loop experiments simulating different physiologic conditions. This algorithm will be implemented in a single board computer to estimate the flow rate of the rotary pump in an implantable left ventricular assist device without invasive sensors.
To improve the low resolution of dynamic images caused by motion vector, a neural networkbased motion vector estimation method for dynamic image sequences is proposed in this study. First, a sum of absolute difference...
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To improve the low resolution of dynamic images caused by motion vector, a neural networkbased motion vector estimation method for dynamic image sequences is proposed in this study. First, a sum of absolute differences (SAD) method is used to determine the search range of motion vector estimation for dynamic image sequences, and a sped up robust features (SURF) algorithm is used to extract the motion vector features from the determined search range. Then, the self -organizing neural network is used to obtain the motion vector estimation results according to the motion vector features of the extracted dynamic images. Finally, a weighted median vector filter is used to correct the pseudo -nonlinear motion vector in the motion vector estimation results to improve the motion vector estimation performance of dynamic image sequences. The experimental results show that the algorithm can compensate for the image according to the motion vector estimation results of dynamic image sequences, and the image quality is obviously improved with high peak signal-to-noise ratio.
estimation of corkscrew target maneuver with unknown turning rate is considered. The modeling of the target's equations of motion takes into account the rotation of the velocity and acceleration vectors as the tar...
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estimation of corkscrew target maneuver with unknown turning rate is considered. The modeling of the target's equations of motion takes into account the rotation of the velocity and acceleration vectors as the target maneuvers. The inclusion of the more detailed kinematic behavior of the maneuvering target creates nonlinear equations of motion. The state - position, velocity acceleration and jerk, and the angular rate of the velocity vector are estimated. This is done without inclusion of the angular rate into the state vector, but in separate equation. As the equations of motion are nonlinear the State Dependent Differential-Difference Riccati Equation based estimator (SDDRE) is implemented. Two filters are evaluated. The velocity based jerk and acceleration based snap filters are considered. It is demonstrated via simulations that the acceleration based snap filters has improved performance with respect to the velocity based jerk filter.
To meet future pollutant emissions Standards, it is crucial to be able to estimate the cycle by cycle in-cylinder mass and the composition of the combustion chamber charge. This charge consists of residual gas from th...
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To meet future pollutant emissions Standards, it is crucial to be able to estimate the cycle by cycle in-cylinder mass and the composition of the combustion chamber charge. This charge consists of residual gas from the previous cycle, fresh air and fuel. Consequently, the estimation of the fresh air mass based on total in-cylinder mass is a function of the residual gas fraction. This estimation is essential to compute the fuel mass to be injected. This paper proposes two observers, based on a physical approach, that estimate the in-cylinder mass and composition using the cylinder pressure. To test the estimator, several parameters are varied, especially the cylinder pressure offset compensation and the exhaust gases temperature.
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