This paper analyses periodic gaits of multi-legged locomotion systems. The joint signals are studied in the Fourier domain, namely from the point of view of its reproducibility through low-pass actuators. The influenc...
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To solve the problem of power system reactive optimization efficiently, a new method, which combines particle swarm optimization algorithm with dynamic weight, was presented. The improved PSO algorithm, which is based...
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ISBN:
(纸本)9781846260681
To solve the problem of power system reactive optimization efficiently, a new method, which combines particle swarm optimization algorithm with dynamic weight, was presented. The improved PSO algorithm, which is based on dynamic weight, is simple in application and quick in convergence. The weight is changed in every loop according to the swarm evolution degree and aggregation degree factor, which ensures population diversity and avoids premature convergence effectively. Then the algorithm is applied in reactive optimization of power system, compared with PSO, the optimization result s of IEEE-30-bus show that the algorithm has a good stable searching capacity and good parallel efficiency.
Grid-forming inverters is getting special attention of industries and academia due to their important role in the realization of microgrids. A crucial feature of them is to have an accurate voltage control. This paper...
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This paper employs a hybrid numerical method combining the differential transformation method (DTM) and the finite difference method (FDM) to analyze the nonlinear dynamic behavior of a rigid rotor supported by an ell...
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In this paper, we investigate a distributed visual 3-D localization of a human using a pedestrian detection algorithm for a camera network. We first formulate the problem as a distributed optimization problem. Then, P...
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In this paper, an adaptive controller is proposed for attitude and altitude control of a quadrotor. First, mathematical and dynamic models of a quadrotor are analyzed. Next, PID and LQR controllers are designed separa...
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A model describing glitch disturbances is introduced and analysed. The model is used to find the response of glitch disturbances when adding a periodic dither to the input and applying low-pass filtering to the output...
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A novel nonlinear backstepping sliding mode controller is designed for improving the speed dynamitic tracking performance of permanent magnet synchronous motor (PMSM) control system, and stability of the controller is...
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This paper focuses on the use of reset control as an alternative way of obtaining dissipation for a class of port-hamiltonian systems. One advantage of this approach is the simplicity of its implementation, since it r...
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Many studies are realized aiming the control of prosthetic devices using the myoelectric signal acquired on the reminiscent member of the amputee. This work investigates the viability of myoelectric signal recognition...
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ISBN:
(纸本)0889863539
Many studies are realized aiming the control of prosthetic devices using the myoelectric signal acquired on the reminiscent member of the amputee. This work investigates the viability of myoelectric signal recognition by processing and analyzing the power spectral density of this signal. As shown in this text, the proper recognition of four distinct myoelectric signal classes was achieved using this methodology, being each of these classes associated to a different hand motion. Data were acquired using two dry surface electrodes placed on the forearm, and only the normalized power spectral densities of the signals were used during project and evaluation phases. The algorithm presented has been designed to allow real-time evaluation, for practical implementation feasibility. Moreover, since PSD normalization is evaluated before the recognition phase, every absolute value is discarded, allowing the algorithm to ensure some insensibility to impedance fluctuations occurring on the interfaces between the surface electrodes and the skin.
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