This paper presents a symmetric cooperation strategy for cooperative relay networks with multiple users. The multi-user symmetric cooperation model and the relay selection algorithm are proposed. Then, the time slot a...
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This paper presents a symmetric cooperation strategy for cooperative relay networks with multiple users. The multi-user symmetric cooperation model and the relay selection algorithm are proposed. Then, the time slot allocation problem is cast into a bargaining problem, and the optimal time slot allocation solution is obtained by Nash bargaining solution （NBS）. Moreover, we also consider the implementations of the cooperation strategy, i.e., the grouping and admission control algorithm. Simulation results show that users can obtain larger rates under the symmetric cooperation strategy than the non-cooperative case.
This paper presents a symmetric cooperation strategy for wireless sensor networks, aiming to improve the transmission efficiency of the network. The cooperation strategy is implemented by partitioning the nodes into s...
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This paper presents a symmetric cooperation strategy for wireless sensor networks, aiming to improve the transmission efficiency of the network. The cooperation strategy is implemented by partitioning the nodes into several cooperative groups. Then, in each group, the optimal cooperative bandwidth allocation is obtained based on Raiffa-KalaiSmorodinsky bargaining solution (RBS). Numerical results show that the symmetric cooperation strategy can improve the sensor node’s transmission efficiency dramatically.
Bearings are the most frequently used components in a wind turbine. As such, bearing Fault Detection is an imperative part of preventive maintenance procedures of a wind turbine. This paper presents a Maximum likeliho...
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Optical quality is the vital concern of injection-molded plastic optical lenses. Focal length is a key quality attribute of a lens to be controlled. A systematic model-free optimization (MFO) method is proposed to con...
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ISBN:
(纸本)9781617829604
Optical quality is the vital concern of injection-molded plastic optical lenses. Focal length is a key quality attribute of a lens to be controlled. A systematic model-free optimization (MFO) method is proposed to control the focal length. Both the gradient-free and gradient-based algorithms are developed. The effectiveness of the MFO method has been demonstrated through experiments. Comparisions with the model-based optimization (MBO) method are also conducted.
The most frequently used component of a wind turbine is bearing which failure could lead to malfunction and ultimately complete stall in a mission-critical equipment. Hence, bearing fault detection is an imperative pa...
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The most commonly used components in a wind turbine are bearings which failure could lead to malfunction and ultimately complete stall of a mission-critical equipment. Hence, bearing Fault Detection is an imperative p...
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Based on deep investigation to the static and dynamic characteristics of Hammerstein and Wiener model structures, this paper proposes an included angle based nonlinearity measure for SISO Hammerstein-like systems. The...
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For the rotor speed control of the grid-connecting of wind turbines with hydraulic transmission, the system dynamics model is built. To address the difficulty in accurate control of rotor speed for external disturbanc...
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For the rotor speed control of the grid-connecting of wind turbines with hydraulic transmission, the system dynamics model is built. To address the difficulty in accurate control of rotor speed for external disturbance and uncertain internal disturbances while connecting to the grid, an adaptive Backstepping controller was designed. The convergence was proved with Lyapunov stability theory. The condition of a constant rotor speed for connecting to grid was meted. The simulation results show that the systerm provides a good dynamic response and strong robustness when system parameters and load torque disturbances appeared.
Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cel...
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Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cell separation is introduced into tissue P systems, which enables systems to generate an exponential workspace in a polynomial time. In this work, the computational power of tissue P systems with cell separation is investigated. Specifically, a uniform family of tissue P systems with cell separation is constructed for effciently solving a well-known NP-complete problem, the partition problem.
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