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146964 146964
4区 计算机科学 Q2 Mathematics Pub Date : 2023-09-13 DOI: 10.24425/acs.2023.146964
The main purpose of this work is to provide an extensive, simulation-based comparison of robustness of PID and MPC algorithms in control of blood glucose levels in patients with type 1 diabetes and thus answer the question of their safety. Cohort testing, with 1000 simulated, randomized patients allowed to analyze specific control quality indicators, such as number of hypoglycemic events, and length of hypo-and hyperglycemia periods. Results show that both algorithms provide a reasonable safety level, taking into account natural changes of patients’ physiological parameters. At the same time, we point out drawbacks of each solution, as well as general problems arising in close-loop control of blood glucose level.
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引用次数: 0
ARL-Wavelet-BPF optimization using PSO algorithm for bearing fault diagnosis 基于粒子群算法的arl -小波- bpf优化轴承故障诊断
4区 计算机科学 Q2 Mathematics Pub Date : 2023-09-13 DOI: 10.24425/acs.2023.146961
Rotating element bearings are the backbone of every rotating machine. Vibration signals measured from these bearings are used to diagnose the health of the machine, but when the signal-to-noise ratio is low, it is challenging to diagnose the fault frequency. In this paper, a new method is proposed to enhance the signal-to-noise ratio by applying the Asymmetric Real Laplace wavelet Bandpass Filter (ARL-wavelet-BPF). The Gaussian function of the ARL-wavelet represents an excellent BPF with smooth edges which helps to minimize the ripple effects. The bandwidth and center frequency of the ARL-wavelet-BPF are optimized using the Particle Swarm Optimization (PSO) algorithm. Spectral kurtosis (SK) of the envelope spectrum is employed as a fitness function for the PSO algorithm which helps to track the periodic spikes generated by the fault frequency in the vibration signal. To validate the performance of the ARL-wavelet-BPF, different vibration signals with low signal-to-noise ratio are used and faults are diagnosed.
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引用次数: 0
146959 146959
4区 计算机科学 Q2 Mathematics Pub Date : 2023-09-13 DOI: 10.24425/acs.2023.146959
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引用次数: 0
146955 146955
IF 1.2 4区 计算机科学 Q2 Mathematics Pub Date : 2023-08-01 DOI: 10.24425/acs.2023.146955
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引用次数: 0
A new 4-D hyperchaotic system with no equilibrium, its multistability, offset boosting and circuit simulation 一种新的无平衡的四维超混沌系统及其多稳定性、偏置升压和电路仿真
IF 1.2 4区 计算机科学 Q2 Mathematics Pub Date : 2023-07-20 DOI: 10.24425/acs.2020.134678
S. Vaidyanathan, I. Moroz
A new 4-D dynamical system with hyperchaos is reported in this work. It is shown that the proposed nonlinear dynamical system with hyperchaos has no equilibrium point. Hence, the new dynamical system exhibits hidden hyperchaotic attractor. An in-depth dynamic analysis of the new hyperchaotic system is carried out with bifurcation transition diagrams, multistability analysis, period-doubling bubbles and offset boosting analysis. Using Integral Sliding Mode Control (ISMC), global hyperchaos synchronization results of the new hyperchaotic system are described in detail. Furthermore, an electronic circuit realization of the new hyperchaotic system has been simulated in MultiSim software version 13.0 and the results of which are in good agreement with the numerical simulations using MATLAB.
本文报道了一种新的四维超混沌动力系统。结果表明,所提出的非线性超混沌动力系统不存在平衡点。因此,新的动力系统表现出隐藏的超混沌吸引子。利用分岔跃迁图、多稳定性分析、周期倍泡和偏置助推分析对新型超混沌系统进行了深入的动力学分析。利用积分滑模控制(ISMC),详细描述了新型超混沌系统的全局超混沌同步结果。在MultiSim 13.0软件中对新超混沌系统的电子电路实现进行了仿真,仿真结果与MATLAB数值仿真结果吻合较好。
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引用次数: 2
Existence of optimal control for multi-order fractional optimal control problems 多阶分数阶最优控制问题的最优控制存在性
IF 1.2 4区 计算机科学 Q2 Mathematics Pub Date : 2023-07-20 DOI: 10.24425/acs.2022.141713
R. Kamocki
In this article we focus on optimal control problems involving a nonlinear fractional control system of different orders with Caputo derivatives, associated to a Lagrange cost functional. Based on a lower closure theorem for orientor fields combined with Filippov’s approach, we derive an existence result for at least one optimal solution for such a problem.
在这篇文章中,我们集中讨论了与拉格朗日代价泛函相关的具有卡普托导数的不同阶非线性分数控制系统的最优控制问题。基于定向场的下闭包定理,结合Filippov方法,我们得到了该问题至少一个最优解的存在性结果。
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引用次数: 1
Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition 部分遮阳条件下太阳能光伏系统全局最大功率点跟踪的快速可靠布谷鸟搜索算法
IF 1.2 4区 计算机科学 Q2 Mathematics Pub Date : 2023-07-20 DOI: 10.24425/acs.2021.138690
K. Bentata, T. Benslimane
The solar photovoltaic output power fluctuates according to solar irradiation, temperature, and load impedance variations. Due to the operating point fluctuations, extracting maximum power from the PV generator, already having a low power conversion ratio, becomes very complicated. To reach a maximum power operating point, a maximum power point tracking technique (MPPT) should be used. Under partial shading condition, the nonlinear PV output power curve contains multiple maximum power points with only one global maximum power point (GMPP). Consequently, identifying this global maximum power point is a difficult task and one of the biggest challenges of partially shaded PV systems. The conventional MPPT techniques can easily be trapped in a local maximum instead of detecting the global one. The artificial neural network techniques used to track the GMPP have a major drawback of using huge amount of data covering all operating points of PV system, including different uniform and non-uniform irradiance cases, different temperatures and load impedances. The biological intelligence techniques used to track GMPP, such as grey wolf algorithm and cuckoo search algorithm (CSA), have two main drawbacks; to be trapped in a local MPP if they have not been well tuned and the precision-transient tracking time complex paradox. To deal with these drawbacks, a Distributive Cuckoo Search Algorithm (DCSA) is developed, in this paper, as GMPP tracking technique. Simulation results of the system for different partial shading patterns demonstrated the high precision and rapidity, besides the good reliability of the proposed DCSAGMPPT technique, compared to the conventional CSA-GMPPT.
太阳能光伏输出功率随太阳辐照度、温度和负载阻抗的变化而波动。由于工作点的波动,从已经具有较低功率转换率的光伏发电机组中提取最大功率变得非常复杂。为了达到最大功率工作点,应使用最大功率点跟踪技术(MPPT)。在部分遮阳条件下,非线性PV输出功率曲线包含多个最大功率点,而全局最大功率点只有一个。因此,确定全球最大功率点是一项艰巨的任务,也是部分遮阳光伏系统面临的最大挑战之一。传统的MPPT技术很容易被困在局部最大值中,而不能检测到全局最大值。用于跟踪GMPP的人工神经网络技术的一个主要缺点是使用了覆盖光伏系统所有工作点的大量数据,包括不同均匀和非均匀辐照情况、不同温度和负载阻抗。用于跟踪GMPP的生物智能技术,如灰狼算法和布谷鸟搜索算法(CSA)存在两个主要缺陷;如果它们没有得到很好的调谐,就会被困在局部MPP中,并且存在精度-瞬态跟踪时间复杂悖论。为了解决这些问题,本文提出了一种分布式布谷鸟搜索算法(DCSA),即GMPP跟踪技术。仿真结果表明,与传统的CSA-GMPPT相比,DCSAGMPPT技术精度高、速度快、可靠性好。
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引用次数: 7
A robust smooth controller for a unicycle-like robot 单轮机器人的鲁棒平滑控制器
IF 1.2 4区 计算机科学 Q2 Mathematics Pub Date : 2023-07-20 DOI: 10.24425/119082
D. Pazderski
In this paper, a stabilizer dedicated for a unicycle-like robot is considered. The proposed smooth control law ensures the global boundedness of position and orientation trajectories to a neighbourhood of the desired point with an arbitrarily selected radius and it is robust to bounded additive measurement noises. The controller consists of a smooth hybrid navigation algorithm and a smooth feedback based on the transverse function approach. The stability proof, simulation and experimental results illustrating properties of the algorithm are discussed
本文研究了一种专用于单轮机器人的稳定器。所提出的平滑控制律保证了位置和方向轨迹在任意选择半径的目标点附近的全局有界性,并且对有界加性测量噪声具有较强的鲁棒性。该控制器由平滑混合导航算法和基于横向函数方法的平滑反馈组成。讨论了算法的稳定性证明、仿真和实验结果
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引用次数: 4
A new chaotic system with axe-shaped equilibrium, its circuit implementation and adaptive synchronization 一种新的轴形平衡混沌系统及其电路实现和自适应同步
IF 1.2 4区 计算机科学 Q2 Mathematics Pub Date : 2023-07-20 DOI: 10.24425/ACS.2018.124711
S. Vaidyanathan, A. Sambas, M. Mamat
In the recent years, chaotic systems with uncountable equilibrium points such as chaotic systems with line equilibrium and curve equilibrium have been studied well in the literature. This reports a new 3-D chaotic system with an axe-shaped curve of equilibrium points. Dynamics of the chaotic system with the axe-shaped equilibrium has been studied by using phase plots, bifurcation diagram, Lyapunov exponents and Lyapunov dimension. Furthermore, an electronic circuit implementation of the new chaotic system with axe-shaped equilibrium has been designed to check its feasibility. As a control application, we report results for the synchronization of the new system possessing an axe-shaped curve of equilibrium points.
近年来,具有不可数平衡点的混沌系统如具有线平衡和曲线平衡的混沌系统得到了较好的研究。本文报道了一种新的具有轴形平衡点曲线的三维混沌系统。利用相图、分岔图、李雅普诺夫指数和李雅普诺夫维数研究了具有轴形平衡的混沌系统的动力学。此外,还设计了一个具有轴形平衡的混沌系统的电子电路来验证其可行性。作为控制应用,我们报告了具有轴形平衡点曲线的新系统的同步结果。
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引用次数: 17
Synchronization of neuronal bursting using backstepping control with recursive feedback 递归反馈反演控制神经元爆破同步
IF 1.2 4区 计算机科学 Q2 Mathematics Pub Date : 2023-07-20 DOI: 10.24425/ACS.2019.131229
S. Rasappan
J.L. Hindmarsh, R.M. Rose introduced the concept of neuronal burst. In this paper, synchronization is investigated for the construction of a model of neuronal burst using backstepping control with recursive feedback. Synchronization for a model of neuronal bursting system is established using Lyapunov stability theory. The backstepping scheme is a recursive procedure that links the choice of a Lyapunov function with the design of a controller. The backstepping control method is effective and convenient to synchronize identical systems. Numerical simulations are furnished to illustrate and validate the synchronization result derived in this paper.
J.L. Hindmarsh和R.M. Rose提出了神经元爆发的概念。本文研究了用递归反馈反步控制构造神经元爆发模型的同步问题。利用李雅普诺夫稳定性理论,建立了神经元爆炸系统的同步模型。回溯方案是一个递归过程,将李雅普诺夫函数的选择与控制器的设计联系起来。反步控制方法对同一系统的同步是有效且方便的。通过数值仿真验证了本文的同步结果。
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引用次数: 2
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Archives of Control Sciences
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