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Time-domain system identification using fractional models from non-zero initial conditions applied to Li-ion Batteries 非零初始条件下分数模型时域系统辨识应用于锂离子电池
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101017
Abderrahmane Adel, Rachid Malti, Olivier Briat
The main contribution of this paper is to present two distinct algorithms for fractional system identification using non-zero initial conditions, by assuming the input signal prior to t=0 and the input/output signals after t=0 known. Addressing this problem is particularly important, in the context of short-time data acquisition, mainly because the effect of the free response is important compared to the forced one and because the time response of fractional systems converge polynomially, as compared to the exponential convergence of rational systems. The first developed algorithm uses a two-stage iterative procedure that computes system forced response at the upper stage, and system parameters at the lower stage using the forced response. The second one uses the simultaneous contribution of system free and forced responses. The efficacy of both algorithms is first assessed using Monte Carlo simulations with significant signal to noise ratios. The proposed algorithms allow solving a technical issue on commercial battery cells: their identification using input–output data whatever their history, i.e. the battery cells need not be in a completely relaxed state (with zero initial conditions) prior to collecting system identification data, contrary to the actual practice.
本文的主要贡献是通过假设t=0之前的输入信号和t=0之后的输入/输出信号已知,提出了使用非零初始条件的两种不同的分数系统识别算法。在短时数据采集的背景下,解决这个问题尤其重要,主要是因为自由响应的影响比强制响应更重要,因为分数系统的时间响应与有理系统的指数收敛相比,是多项式收敛的。第一个开发的算法使用两阶段迭代过程,在上层计算系统强制响应,在下层使用强制响应计算系统参数。第二种方法使用系统自由响应和强迫响应的同时贡献。两种算法的有效性首先使用蒙特卡罗模拟显著信噪比进行评估。所提出的算法允许解决商业电池的技术问题:使用输入输出数据进行识别,无论其历史如何,即电池在收集系统识别数据之前不需要处于完全放松状态(零初始条件),这与实际情况相反。
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引用次数: 0
Human-like learning in car following: An attention-based driving strategy with memory-inspired adaptation 汽车跟随中的类人学习:基于记忆启发适应的注意驾驶策略
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101025
Seymanur Al Habboush , Yildiray Yildiz , Anuradha M. Annaswamy
Traffic simulators are essential for testing autonomous driving algorithms, and they require driver models that accurately emulate human behavior to reflect real traffic conditions. Our study focuses on developing human driver models to be used in these simulators. We address the limitations of fixed driver models, which do not adapt to new information, by introducing an attention-based learning mechanism inspired by human memory. This mechanism is integrated into a multi-type car following model we developed. Unlike existing car following models, our approach allows the ego driver’s decisions to be influenced, without any bias, by both the vehicle in front and the vehicle behind them.
We demonstrate the predictive capabilities of the proposed model using real traffic data and provide a comprehensive statistical analysis of the model parameter distributions. This analysis shows how the model captures general behavioral tendencies across different data sets, enhancing the understanding of interactions between human drivers and providing more realistic simulations for testing purposes. Finally, we offer a step-by-step guide for implementing the model in the development of high-fidelity traffic simulators.
交通模拟器对于测试自动驾驶算法至关重要,它们要求驾驶员模型能够准确模拟人类行为,以反映真实的交通状况。我们的研究重点是开发用于这些模拟器的人类驾驶员模型。我们通过引入一种受人类记忆启发的基于注意力的学习机制,解决了固定驱动模型不能适应新信息的局限性。该机制被集成到我们开发的多类型汽车跟随模型中。与现有的汽车跟踪模型不同,我们的方法允许自我驾驶员的决定受到前车和后车的影响,而不会有任何偏见。我们使用真实交通数据证明了所提出模型的预测能力,并提供了模型参数分布的全面统计分析。该分析显示了该模型如何捕获不同数据集的一般行为趋势,增强了对人类驾驶员之间相互作用的理解,并为测试目的提供了更真实的模拟。最后,我们提供了在高保真交通模拟器开发中实现该模型的逐步指南。
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引用次数: 0
Input-to-state stabilization of parabolic PDEs with variable coefficients and Dirichlet boundary disturbances: A tutorial on closed-form backstepping controller design and stability analysis 带Dirichlet边界扰动的变系数抛物型偏微分方程的输入-状态镇定:闭式反步控制器设计与稳定性分析教程
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101032
Jun Zheng , Yongchun Bi , Guchuan Zhu
This tutorial paper presents the design of backstepping-based boundary state-feedback controllers, observers, and boundary output-feedback controllers for a class of one-dimensional parabolic equations with space–time-varying reaction coefficients, employing time-invariant closed-form kernels expressed through Bessel functions. Based on the application of the generalized Lyapunov method, this paper also presents how to perform the stability analysis of the involved closed-loop systems and the state estimation error system under the framework of input-to-state stability theory in the presence of Dirichlet boundary disturbances. Numerical simulations are conducted to confirm the results of theoretical analysis and to illustrate the effectiveness of the proposed control scheme.
本文针对一类反应系数随时空变化的一维抛物型方程,采用贝塞尔函数表示的时不变闭型核,设计了基于后退的边界状态反馈控制器、观测器和边界输出反馈控制器。在应用广义Lyapunov方法的基础上,给出了在输入-状态稳定性理论框架下,在Dirichlet边界扰动存在的情况下,如何对所涉及的闭环系统和状态估计误差系统进行稳定性分析。通过数值仿真验证了理论分析的结果,并验证了所提控制方案的有效性。
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
Smith predictor based control of multi time-delay processes 基于Smith预测器的多时滞过程控制
IF 7.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101008
Pedro Albertos , Xiaoli Luan , Pedro Garcia
In the process industry, the presence of time-delays is unavoidable and these delays may happen at the input, output or at any internal point of the process. As a result, the output/input relationship may present multiple time-delays. The Smith Predictor is well recognized as the best approach to deal with time delays but its use is mainly limited to process models where the time delay is separated from the rest of the model. In this paper, a comprehensive review of the control of processes with multi time-delays has been done, identifying key research gaps in the literature. In particular, the case of multi time-delays in a single forward/feedback path is an area that remains insufficiently addressed. By means of precompensators, the initial process model is transformed and reduced to single time-delay models. Then, the Smith Predictor approach can be applied being proposed to design the final control structure. Some simplifications in the join implementation of the predictor and the precompensator are suggested. The procedure is also extended to deal with MIMO plants presenting multi time-delays in the transfer matrix elements. In this way, a general solution to design the control for multi time-delayed processes is presented and some examples illustrate the procedure. Some conclusions are drafted along with open problems for future research.
在过程工业中,时间延迟的存在是不可避免的,这些延迟可能发生在过程的输入、输出或任何内部点。因此,输出/输入关系可能呈现多个延时。Smith Predictor被公认为是处理时间延迟的最佳方法,但它的使用主要局限于时间延迟与模型其余部分分离的过程模型。在本文中,对多时滞过程的控制进行了全面的回顾,确定了文献中的关键研究空白。特别是,在单个前向/反馈路径中存在多时延的情况是一个仍然没有得到充分解决的领域。利用预补偿器对初始过程模型进行变换,简化为单个时滞模型。然后,应用Smith预测器方法设计最终的控制结构。在预测器和预补偿器的连接实现中,提出了一些简化的建议。该方法还扩展到处理传输矩阵元素中存在多时延的MIMO对象。通过这种方法,给出了多时滞过程控制设计的通解,并举例说明了设计过程。一些结论和有待进一步研究的开放性问题被起草。
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引用次数: 0
Practical implementation of gain scheduling strategies with FOPID controllers: A bumpless LPV approach FOPID控制器增益调度策略的实际实现:无颠簸LPV方法
IF 7.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101007
Marco Milanesi , Fabrizio Padula , Antonio Visioli
In this paper we propose a methodology to implement gain scheduling strategies for fractional-order proportional–integral–derivative controllers. In particular, we use a finite-dimensional approximation of the fractional operators and we implement it as a linear parameter varying system. Then, we provide a solution to the initialization problem that emerges when the parameters of the FOPID controller change discontinuously so that the control action is continuous, thereby avoiding any bump. Experimental results show that this method can be used in practice and has industrial relevance.
本文提出了一种分数阶比例-积分-导数控制器增益调度策略的实现方法。特别地,我们使用分数算子的有限维近似并将其实现为线性参数变系统。然后,针对FOPID控制器参数不连续变化时出现的初始化问题,提供了一种解决方案,使控制动作连续,从而避免了任何颠簸。实验结果表明,该方法可以在实际中应用,具有一定的工业实用性。
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引用次数: 0
IF 10.7 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Pub Date : 2025-01-01
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引用次数: 0
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Annual Reviews in Control
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