A self-evolving recurrent Chebyshev fuzzy neural network (SERCFNN) approximator based on a fractional order sliding mode controller (FOSMC) is developed for an active power filter to suppress harmonic distortions. The algorithm, which incorporates the structure learning with parameter learning, able dynamically adjust number of rules and shape partitions. consequent part proposed SERCFNN combines polynomials expand dimensionality input. For relaxing requirement parametric functional...

Memristive devices are essential for artificial neural networks (ANNs) due to their similarity biological synapses and neurons in structure, dynamics, electrical behaviors. By building a crossbar array, memristive can be used conduct in‐memory computing efficiently. Herein, approaches realize (memNNs) from the device level system introduced with state‐of‐art experimental demonstrations. First, algorithm fundamentals briefly given provide guidance developing ANNs based on devices; second,...

Abstract Neural networks based on memristive devices have achieved great progress recently. However, synapses with nonlinearity and asymmetry seriously limit the classification accuracy. Moreover, insufficient number of training samples in many cases also negative effect accuracy neural due to overfitting. In this work, dropout neuronal units are developed stochastic volatile Ag/Ta 2 O 5 :Ag/Pt. The network using effectively solves problem overfitting mitigates effects nonideality synapses,...

Chronic pain burdens patients and healthcare systems worldwide. Pain control remains urgently required. IL-17 (interleukin-17)-mediated neuroinflammation is of unique importance in spinal nociceptive transduction pathological development. Recently, resolvin D2 (RvD2), as a bioactive, specialized pro-resolving mediator derived from docosahexaenoic acid, exhibits potent resolution inflammation several neurological disorders. This preclinical study evaluates the therapeutic potential underlying...

Compared to the conventional half-bridge submodule-based modular multilevel converter (MMC), full-bridge submodule (FBSM) capacitance of FB-MMC can be reduced significantly with consideration negative voltage state FBSM, which has benefits cost and size reduction. This paper analyzes characteristics FBSM fundamental frequency second-order harmonic fluctuations without zero sequence injection (ZSVI) comparatively. The analyses show that ZSVI almost no impacts on fluctuations, while components...

Modular multilevel converter with integrated battery energy storage system (MMC-BESS) has been proposed for requirements in high-voltage applications large-scale renewable resources. The MMC-BESS is essentially a three-port which can transfer between any two of the ac port, dc and BESS, constituting multimode operation system. Different from conventional MMCs, state-of-charge (SOC) inconsistency among batteries would magnify submodule capacitor voltage unbalance issue MMC-BESS. In this...

Modular multilevel converter with integrated battery energy storage system (MMC-BESS) has been proposed for requirements in high-voltage applications. The state-of-charge (SOC) equilibrium of batteries is essential BESS to guarantee the capacity utilization. However, submodule voltage regulation can lead over-modulation individual submodules, which will limit efficiency SOC balancing control. Focusing on this problem, a modified control method high paper. tolerance power unbalance defined...

Modular multilevel converter with integrated battery energy storage system has been verified as a better choice for large-scale system. However, power and its unbalanced distribution in submodules lead to significant increase of capacitor voltage ripple. Larger submodule capacitance is required maintain the ripple within reasonable limits, increasing cost volume To address problem, this article proposes novel integration method. Each pack connected two that belong upper lower arm,...

Modular multilevel converter (MMC) is regarded as one of the most potential topologies for high‐voltage direct current transmission system. However, multi‐frequency behaviour and complex control structure MMC bright great challenges to stability analysis, identification factors affecting stability, controller design. To address this problem, harmonic state‐space (HSS) theory applied in study. First, small‐signal HSS model established describe MMC. Capacitor voltage control, circulating...

A modular multilevel converter with an integrated battery energy storage system (MMC-BESS) has been proposed for high-voltage applications large-scale renewable resources. As capacitor voltage balance is key to the normal operation of system, conventional control strategy MMC can be significantly simplified by controlling individual through a side in MMC-BESS. However, MMC-BESS under rectifier mode not yet addressed, where cannot directly employed due additional power flow batteries. For...

In order to investigate the mechanism of a rotor system with unbalance and blade-casing rubbing coupling faults, vibration rub force in resulting from faults are simulated. At first, dynamic model 0-2-1 form is established, model, which considered blade number, clearance between tip stator, stiffness size blade, introduced model. The characteristics analyzed by waterfall plot, spectrum, time domain chart force, effects speed stator. Secondly, tester established according structure....

Modular multilevel converter (MMC) is regarded as a topology with high potential for high-voltage direct current transmission system. However, the distributed capacitors lead to significant submodule capacitor voltage ripples, which have great influence on terminal characteristics of MMC. In this paper, an equivalent model considering ripples and circulating suppression control established explore model, MMC cascade buck/boost two-level source (VSC) from perspective. The represented by...

Modular multilevel converter can be applied to battery energy storage system by integrating with submodules. This paper focuses on the assessment of modular partly integrated based carrier phase shift pulse width modulation, namely equipment ratio or fault-tolerant system. Firstly, power balancing restrictions are analyzed keep capacitor voltages balanced. Then, this analyzes modulation in order avoid over-modulation. Besides, external characteristic must remain unchanged. By combining these...

The low operating temperature and volatile characteristics of the magnetization change are main obstacles for practical applications spintronic magnetic memories. In this work, both resistive switching realized in Pt/LaBaCo2O5+δ (LBCO)/Nb-doped SrTiO3 (Nb-STO) devices at room through an electric field. Unlike traditional approach external stress inducing a change, Pt/LBCO/Nb-STO device is modulated by electrical field, along with switching. can be attributed to variation depletion layer...

Abstract Memristive devices are building blocks for neuromorphic computing. However, non‐ideal properties of memristive devices, such as bad retention, small number resistance states, and nonlinear pulse programming hinder the development computation. Based on proton migration in α‐MoO 3 /SrCoO 2.5 stack, a Pt/α‐MoO /Nb‐SrTiO device is developed with multiple states excellent nonvolatility. When protons migrate from to SrCoO lattice, both layers undergo increase, due reduced doping level...

Considering the small output power of switched reluctance generator (SRG) at low speed, this paper proposes a new converter topology based on operation principle generator, aiming to improve performance traditional converter. The includes two working modes: full winding excitation generation and partial generation, which are applied different speed increase power. To verify feasibility proposed converter, simulations experiments SRG with single phase, external rotor, U-shaped stators...