To solve the problem of premature convergence and search stagnation in traditional differential algorithm, this paper presents an adaptive dual model differential evolution algorithm based on cloud model(ADDEC). The v...
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To solve the problem of premature convergence and search stagnation in traditional differential algorithm, this paper presents an adaptive dual model differential evolution algorithm based on cloud model(ADDEC). The variation model of ADDEC is produced by combining basic variation with cloud variation. And the adaptive operators are referenced respectively for scale factor and interactive probability during the operation of variation and crossover. The robustness and the convergence rate of the algorithm are enhanced. Moreover the relationship between global search and local search of the algorithm is improved. The diversity of the population is guaranteed at the same time. It is tested by typical high dimension benchmark function and compared with other algorithms, and the results show that the ADDEC has better precision, high convergence speed and makes it easy to jump out the local optimal solution.
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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In this paper, the problem of hierarchical cooperative spectrum sensing using double thresholds energy detector over imperfect reporting channels will be investigated. When taking error effect on reporting decision in...
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ISBN:
(纸本)9781467377249
In this paper, the problem of hierarchical cooperative spectrum sensing using double thresholds energy detector over imperfect reporting channels will be investigated. When taking error effect on reporting decision into consideration, the sensing performance will be affected. In the proposed scheme, we analyze the performance of hierarchical cooperative spectrum sensing over imperfect reporting channels and the "majority-decision-aided" weighting rule will be used in the fusion center. The analysis and simulation results show that there is a significant performance loss when the decisions based on hierarchical spectrum sensing are transmitted over imperfect reporting channels and the sensing performance is improved by employing the new weighting rule.
In this paper, a fuzzy adaptive backstepping sliding mode controller is presented for the hydraulic gap nonlinear system with uncertain parameters and load disturbances. Fuzzy adaptive systems are employed to approxim...
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This paper deals with the formation control problem for a group of quadrotor unmanned aerial vehicles(UAVs) through a modified dynamic event-triggered control protocol. The stability proof for the state space origin...
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This paper deals with the formation control problem for a group of quadrotor unmanned aerial vehicles(UAVs) through a modified dynamic event-triggered control protocol. The stability proof for the state space origin of the overall closed-loop system is derived from the singular perturbation method and Lyapunov stability theory. An event-triggered formation control protocol in terms of a dynamically varying threshold parameter is delicately carried out while acquiring satisfactory resource efficiency, and Zeno behavior of triggering time sequences is excluded. Finally, simulations on four quadrotor UAVs are given to verify the effectiveness of the theoretical results.
To solve the power dispatch problem with intermittent clear power resource (ICPR), the optimal power model which contains wind power, photovoltaic power, coal-fired power and variation load is built. The model allows ...
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A robust H-infinity controller based on genetic algorithm optimization is designed for space vector control model of permanent magnet synchronous motor to improve the speed of tracking performance. A space vector cont...
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Aiming at the problem about the nonlinear function and the mechanical zero offset in the vibration system of continuous casting mold driven by servo motor, a discrete auto disturbance rejection control (ADRC) with non...
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Aiming at the problem about the nonlinear function and the mechanical zero offset in the vibration system of continuous casting mold driven by servo motor, a discrete auto disturbance rejection control (ADRC) with nonlinear function processing algorithm is proposed. Firstly, for the nonlinear multi solutions problem existing between rotation angle and displacement of mold, a nonlinear algorithm is proposed to get the practical phase difference of eccentric shaft. The algorithm is achieved by calculating the time difference between ideal time of arrival and actual time of arrival at the same position. Secondly, the mathematical model of vibration system is discretized by using the Euler method, and an ADRC is designed to estimate the eccentric shaft mechanical zero offset and load disturbance, and then compensate and weaken the position error. Finally, the simulation results demonstrate the feasibility of the proposed method.
For multiple Lagrange systems, the objective of distributed edge control problem is to drive all the followers converge to the edge of the convex hull spanned by the leaders. In this approach, we choose binocular visi...
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A non-causal iterative learning control (ILC) with variable index gain is presented to solve the trajectory tracking problem of rigid robot manipulator with non-zero initial error. This scheme eliminates the restricti...
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