The total time of Extravehicular Activity (EVA) performed by astronauts has increased significantly during the past few years. On the other hand, the bulk and stiffness of the suit itself and in particular of the glov...
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This work proposes an image-guided robotic Mastoidectomy. A surgical navigation software was developed to guide the robot without damaging the critical area. A forbidden-region virtual fixture is implemented for safet...
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This paper presents a sampled-data fuzzy observer of nonlinear system for wave energy converter. The forces which affect the wave energy converter are analyzed and the dynamic equation is represented for observer desi...
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This paper presents a sampled-data fuzzy observer of nonlinear system for wave energy converter. The forces which affect the wave energy converter are analyzed and the dynamic equation is represented for observer design. A Takagi-Sugeno (T-S) fuzzy model is adopted for the nonlinear systems. In the T-S fuzzy model with sampled-data fuzzy observer, it obtains the norm inequality between the continuous-time state variable and the discrete-time one. Based on the norm inequality, sufficient conditions are derived for decreasing the estimation error and formulated in terms of linear matrix inequalities. Finally, a simulation is provided to verify the effectiveness of the proposed technique.
Reliable access to dynamics is one of the central challenges in humanoid robotics. In this paper we consider the problem of computing both internal and external wrenches in open multiple branches kinematic chains, whi...
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In this paper, the design of a nonlinear robust adaptive dynamic output-feedback controller for voltage-fed dual-axis linear stepper (Sawyer) motors is addressed using a detailed motor model with electrical dynamics a...
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In this paper, the design of a nonlinear robust adaptive dynamic output-feedback controller for voltage-fed dual-axis linear stepper (Sawyer) motors is addressed using a detailed motor model with electrical dynamics and significant uncertainties and disturbances. The proposed controller utilizes only position measurements in each axis, and achieves practical stabilization of position tracking errors. Velocity and current measurements are not required for feedback. Furthermore, the only electromechanical motor parameter that is required to be known is the time constant of the electrical subsystem. Adaptations are utilized to remove requirement of knowledge of any other electromechanical system parameters. The controller is robust to load torques, friction, cogging forces, and other disturbances satisfying certain bounds. The controller also corrects for the yaw rotation to achieve synchrony of motor and rotor teeth.
The coupled field-circuit model of the three-stage reluctance accelerator is presented in the paper. The finite element method (FEM) has been used to calculate the integral parameters of the model. The circuit model h...
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The coupled field-circuit model of the three-stage reluctance accelerator is presented in the paper. The finite element method (FEM) has been used to calculate the integral parameters of the model. The circuit model has been obtained with using the Lagrange formulation. In the mathematical model the mutual inductances, which influence the current waves in the coils, have been taken into account. The measurement verification has confirmed the correctness of the mathematical model.
The robust adaptive control of tilt-rotor aircraft is addressed using backstepping and θ-D based control design techniques. The designs specifically focus on providing high robustness to time-varying system parameter...
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The robust adaptive control of tilt-rotor aircraft is addressed using backstepping and θ-D based control design techniques. The designs specifically focus on providing high robustness to time-varying system parameters and disturbance effects from the environment to attain good disturbance attenuation properties in highly aerodynamically challenging environments such as shipboard environments. The control system is structured with a modular architecture combining adaptive backstepping and adaptive θ-D control algorithms and provides flexibility and customizability for various tilt-rotor aircraft configurations and operating environments. The overall control system and its constituent algorithms are designed to either be able to operate on their own to provide fully autonomous flight or to operate in conjunction with a human pilot or an existing baseline controller in a control augmentation fashion to provide additional robustness and reliability improvements under severe aerodynamic disturbance conditions. The robustness, stability, and performance of the proposed control algorithms are demonstrated through simulation based studies.
The investigation of this work is to analysis the sensitivity distributions using two differential excitation potentials, in order to improve the situation of: (1) non-uniform sensitivity distribution: (2) less sensit...
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This paper presents some results of a 64 channel digital hearing aid firmware development. Along with nonlinear voice compression, we present noise reduction, microphone & receiver calibration and in-situ algorith...
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This paper presents some results of a 64 channel digital hearing aid firmware development. Along with nonlinear voice compression, we present noise reduction, microphone & receiver calibration and in-situ algorithms with some results. The FFT-iFFT based compression method can generalize the nonlinear arbitrary compression scheme in connection with spectral noise reduction scheme. Spectral subtraction method was used for noise reduction, but noise spectrum was continuously updated by detecting signal level.
Based on our previous work in the development of a multimodal animated avatar oriented to human-machine interaction and social robotics, a facial expression recognition system is presented in this paper. Both the avat...
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Based on our previous work in the development of a multimodal animated avatar oriented to human-machine interaction and social robotics, a facial expression recognition system is presented in this paper. Both the avatar's architecture and facial recognition system have been oriented to FACS Action Units recognition and generation, so they can be easily integrated. The resulting animated system is able to maintain nonverbal and verbal bidirectional communication, enhancing the interaction with the avatar and making it more natural for the users.
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