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Personalized control system via reinforcement learning: maximizing utility based on user ratings 通过强化学习的个性化控制系统:基于用户评级最大化效用
Pub Date : 2023-01-21 DOI: 10.1080/18824889.2023.2167540
Tomotaka Nii, M. Inoue
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引用次数: 0
Detection of circadian rhythm disturbance of carbachol-induced beta wave dynamics in rat hippocampal slices using neural networks 用神经网络检测碳巴酚诱导的大鼠海马切片β波动力学的昼夜节律紊乱
Pub Date : 2023-01-18 DOI: 10.1080/18824889.2022.2162749
Masaya Shigemoto, K. Natsume
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引用次数: 0
Distributed control for bi-connectivity of multi-robot network 多机器人网络双连通性的分布式控制
Pub Date : 2022-12-28 DOI: 10.1080/18824889.2022.2157194
T. Murayama
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引用次数: 2
A necessary and sufficient condition for conservation of angular momentum at foot strike during passive dynamic walking 被动动态步行中足击角动量守恒的充分必要条件
Pub Date : 2022-06-16 DOI: 10.1080/18824889.2022.2136910
Yasushi Iwatani, T. Kinugasa
Legged robots can walk stably down slopes without any actuation or control. The locomotion is called passive dynamic walking. Its dynamics at foot strike are governed by impact forces. The impulsive dynamics have been modelled in several approaches, where all the approaches assume that the stance leg instantaneously loses contact with the ground at foot strike. The loss-of-contact assumption has been introduced so as to guarantee conservation of angular momentum at foot strike; however, it is shown in this paper that the loss-of-contact assumption is neither necessary nor sufficient for that purpose. This paper provides a necessary and sufficient condition for conservation of angular momentum at foot strike in a modelling framework for multibody dynamics with impact. A compass-like biped robot is considered in this paper. Its impulsive dynamics are modelled by the relationship between impact forces and change of momentum with constraints. A necessary and sufficient condition for conservation of angular momentum is derived by examining the validity of foot velocities and impact forces in the impulsive model.
有腿机器人可以在没有任何驱动或控制的情况下稳定地走下斜坡。这种运动被称为被动动态行走。它的动力在脚打击是由冲击力。脉冲动力学已经在几种方法中建模,其中所有的方法都假设脚着地时站立腿立即与地面失去接触。为了保证足部撞击时角动量的守恒,引入了失去接触假设;然而,本文表明,对于这一目的,失去接触的假设既不是必要的,也不是充分的。在具有冲击的多体动力学模型框架中,给出了足部撞击角动量守恒的充分必要条件。本文研究了一种类罗盘的两足机器人。它的脉冲动力学是由冲击力和有约束的动量变化之间的关系来建模的。通过检验冲激模型中足部速度和冲击力的有效性,得到了角动量守恒的充分必要条件。
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引用次数: 1
Detection of the change in characteristics of self-grooming by the neural network in the latent period of the Rat Kainate Epilepsy model 神经网络检测大鼠癫痫模型潜伏期自我梳理特征的变化
Pub Date : 2022-06-16 DOI: 10.1080/18824889.2022.2079327
Hirofumi Arai, Masaya Shigemoto, K. Natsume
It is widely hypothesized that there is a seizure-free state, termed the “latent period,” between brain injury and the onset of symptomatic epilepsy. During the latent period, structural and functional alterations gradually mediate epileptogenesis. Kainate (KA) induces epilepsy in rats in a manner similar to that induced by human epilepsy. During the model's latent period, rats administered KA-exhibited innate behaviour such as self-grooming. We previously reported that self-grooming bouts are facilitated during the latent period in this model. Here, we investigated self-grooming changes during the latent period of the KA rat model. We analysed various parameters of self-grooming – including duration, number, and percentage of correct transitions (CT%). Self-grooming bouts included a syntactic chain consisting of CT. CT% was defined as the ratio of the number of CT scans to the total number of transitions. The results showed that CT%, number, and duration were significantly increased during the latent period in KA rats. We attempted to mine the features that detect the latent period using a neural network. Our results suggest that the CT% of self-grooming will detect changes in the latent period in the KA rat epilepsy model.
人们普遍假设,在脑损伤和症状性癫痫发作之间存在一段无癫痫发作的状态,称为“潜伏期”。在潜伏期,结构和功能的改变逐渐介导癫痫发生。Kainate (KA)诱导大鼠癫痫的方式与人类癫痫相似。在模型潜伏期,给予ka的大鼠表现出自我梳理等先天行为。我们以前报道过,在这个模型中,自我梳理的发作在潜伏期更容易。在此,我们研究了KA大鼠模型潜伏期的自我梳理变化。我们分析了自我修饰的各种参数-包括持续时间,数量和正确转换的百分比(CT%)。自我梳理包括一个由CT组成的句法链。CT%定义为CT扫描次数与总转换次数之比。结果显示,KA大鼠潜伏期CT%、数量、持续时间均显著增加。我们尝试使用神经网络来挖掘检测潜伏期的特征。我们的结果表明,自我梳理的CT%可以检测KA大鼠癫痫模型潜伏期的变化。
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引用次数: 1
Synchronizing chaotic PDE system using backstepping and its application to image encryption 用反步同步混沌PDE系统及其在图像加密中的应用
Pub Date : 2022-06-16 DOI: 10.1080/18824889.2022.2112528
H. Sano, M. Wakaiki
This paper is concerned with the observer design problem for a nonlinear hyperbolic system with a modified van der Pol boundary condition in which an integral term is included. The observer plays a role of a chaotic synchronizing system when applying it to secure communication. In our previous work (Sano et al. Secure communication systems using distributed parameter chaotic synchronization. SICE Trans. 2021;57(2):78–85), a nonlinear hyperbolic system without the integral term was treated and a simple synchronizing system was constructed, where the constant coefficients of system played a role of encryption keys. But the keys were vulnerable from a safety standpoint. On the other hand, in the case where the integral term is included in the boundary condition, we need to construct observers. The weighted function contained in the integral term gives a new encryption key of distributed type. An application to image encryption is also discussed and numerical simulation results are given.
研究一类具有修正van der Pol边界条件且包含积分项的非线性双曲型系统的观测器设计问题。将观测器应用于保密通信时,它起到了混沌同步系统的作用。在我们之前的工作中(Sano et al.)。使用分布式参数混沌同步的安全通信系统。SICE Trans. 2021;57(2): 78-85),处理了一个没有积分项的非线性双曲系统,构造了一个简单的同步系统,其中系统的常系数起到加密密钥的作用。但从安全的角度来看,钥匙是脆弱的。另一方面,在边界条件中包含积分项的情况下,我们需要构造观察者。该积分项所包含的加权函数给出了一种新的分布式加密密钥。讨论了该算法在图像加密中的应用,并给出了数值仿真结果。
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引用次数: 2
Robust pose tracking control for a fully-actuated hexarotor UAV based on Gaussian processes 基于高斯过程的全驱动六旋翼无人机鲁棒姿态跟踪控制
Pub Date : 2022-06-16 DOI: 10.1080/18824889.2022.2125242
Tatsuya Ibuki, Hirotoshi Yoshioka, M. Sampei
This paper presents a robust position/attitude tracking control method for a fully-actuated hexarotor unmanned aerial vehicle (UAV) based on Gaussian processes. Multirotor UAVs suffer from modelling errors due to their structure complexity and aerodynamical disturbances whose perfect mathematical formulation is intractable. To handle this issue, this paper incorporates a data-based learning technique with model-based control. The hexarotor UAV dynamical model, considering modelling errors and aerodynamic disturbances as unknown dynamics, is first derived. Gaussian process regression is next introduced as a learning method for the unknown dynamics, which provides probabilistic distributions of the predicted values. The predicted means are regarded as deterministic information and cancelled out by feedforward control inputs. The predicted variances are considered as the bounds of the model uncertainties with high probability, and a robust control method to ensure ultimate boundedness of the tracking control error is proposed for the uncertain system. The effectiveness of the proposed method is demonstrated via experiments with a self-developed hexarotor UAV testbed.
提出了一种基于高斯过程的全驱动六旋翼无人机鲁棒位置/姿态跟踪控制方法。多旋翼无人机由于其结构复杂、气动干扰等问题而存在建模误差,其完美的数学公式难以确定。为了解决这一问题,本文将基于数据的学习技术与基于模型的控制技术相结合。首先建立了考虑建模误差和气动干扰为未知动力学的六旋翼无人机动力学模型。然后引入高斯过程回归作为未知动态的学习方法,它提供了预测值的概率分布。预测均值被视为确定性信息,并被前馈控制输入抵消。将预测方差作为高概率模型不确定性的界,提出了一种保证不确定系统跟踪控制误差最终有界性的鲁棒控制方法。在自行研制的六旋翼无人机试验台上进行了实验,验证了该方法的有效性。
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引用次数: 0
Construction of a state-space model with multiple flow rate inputs for an OTEC plant using Rankine cycle 基于朗肯循环的OTEC装置多流量输入状态空间模型的构建
Pub Date : 2022-06-16 DOI: 10.1080/18824889.2022.2080471
Y. Matsuda, Daiki Suyama, T. Sugi, S. Goto, T. Morisaki, T. Yasunaga, Y. Ikegami
Recently, the importance of sustainable energy using renewable resources has been recognized. As one of the sustainable energy resources, ocean thermal energy conversion (OTEC) is important for the development of a next-generation energy source. This paper proposes a method to construct a state-space model for an OTEC plant using the Rankine cycle. The state-space model is constructed based on a linear approximation of a simple dynamic model. The flow rates of warm seawater, cold seawater, and working fluid are considered as inputs to the model, and the power output is selected as the output of the model. The state-space model, described as a time-invariant system, is derived numerically. The constructed model is evaluated through numerical simulations of the step response; the power generation control is verified using proportional integral controllers, and the advantage as a state-space model is verified using a linear quadratic regulator. The simulation results demonstrate the effectiveness and limitation of the proposed model. Because the simple dynamic model to be approximated is constructed based on the physical laws, various kinds of state-space models corresponding to the physical parameters can be obtained easily.
最近,人们认识到利用可再生资源的可持续能源的重要性。海洋热能转换作为一种可持续能源,对开发下一代能源具有重要意义。本文提出了一种利用朗肯循环构造OTEC装置状态空间模型的方法。状态空间模型是基于简单动态模型的线性近似构造的。考虑暖海水、冷海水和工质的流速作为模型的输入,选择功率输出作为模型的输出。将状态空间模型描述为一个定常系统,并对其进行了数值推导。通过阶跃响应的数值模拟对所构建的模型进行了评价;利用比例积分控制器验证了发电控制的有效性,并利用线性二次型调节器验证了状态空间模型的优越性。仿真结果表明了该模型的有效性和局限性。由于要逼近的简单动态模型是基于物理规律构建的,因此可以很容易地得到与物理参数相对应的各种状态空间模型。
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引用次数: 3
The lq/lp Hankel norms of discrete-time positive systems across switching 跨切换离散正系统的lq/lp汉克尔范数
Pub Date : 2022-06-16 DOI: 10.1080/18824889.2022.2090801
Y. Ebihara
ABSTRACT In this study, we focus on the Hankel norms of linear time-invariant (LTI) discrete-time positive systems across a single switching. The Hankel norms are defined as the induced norms from vector-valued past inputs to vector-valued future outputs across a system switching and a state transition at the time instant zero. A closed-form characterization of the Hankel norm in this switching setting for general LTI systems can readily be derived as the natural extension of the standard Hankel norm. Thanks to the strong positivity property, we show that we can successfully characterize the Hankel norms for the positive system switching case even in some combinations of p, q being . In particular, some of them are given in the form of linear programming (LP) and semidefinite programming (SDP). These LP- and SDP-based characterizations are particularly useful for the analysis of the Hankel norms where the systems of interest are affected by parametric uncertainties.
在本研究中,我们主要研究线性时不变(LTI)离散时间正系统的Hankel范数。汉克尔范数被定义为从向量值的过去输入到向量值的未来输出的诱导范数,跨越系统切换和瞬间零的状态转换。对于一般LTI系统,在这种切换设置中,汉克尔范数的封闭形式特征可以很容易地推导为标准汉克尔范数的自然扩展。由于强正性性质,我们证明了即使在p, q为的某些组合下,我们也可以成功地描述正系统切换情况的Hankel范数。特别地,其中一些以线性规划(LP)和半定规划(SDP)形式给出。这些基于LP和sdp的表征对于分析受参数不确定性影响的系统的Hankel范数特别有用。
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引用次数: 1
UAV manipulation by hand gesture recognition 无人机操纵手势识别
Pub Date : 2022-06-16 DOI: 10.1080/18824889.2022.2103631
Shoichiro Togo, H. Ukida
In this study, we discuss a unmanned aerial vehicle operation system by recognizing human gestures. Here, we focus on both dynamic and static gestures, such as moving the right hand repeatedly or holding it in a certain position. And, we propose two methods, one is a feature-based (FB) method to detect the position of the right hand in an image and identify the gesture form features estimated by FFT, and the other is a machine learning (ML) method to detect the position of the right hand in an image and identify the gesture by the framework of the ML. In experiments, we compare the results of gesture recognition by each method. As a result, the recognition rate of the FB method is higher than that of the ML method under the conditions assumed in the FB method. But, in other cases, the ML method is higher than that of the FB method. The ML method is also effective in terms of extensibility, such as adding more types of gestures.
在这项研究中,我们讨论了一种通过识别人类手势的无人机操作系统。在这里,我们将重点关注动态和静态手势,例如反复移动右手或将右手保持在某个位置。我们提出了两种方法,一种是基于特征(FB)的方法,用于检测图像中右手的位置并识别FFT估计的手势形式特征;另一种是基于机器学习(ML)的方法,用于检测图像中右手的位置并在ML的框架下识别手势。在实验中,我们比较了每种方法的手势识别结果。因此,在FB方法假设的条件下,FB方法的识别率高于ML方法。但是,在其他情况下,ML方法高于FB方法。ML方法在可扩展性方面也很有效,例如添加更多类型的手势。
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引用次数: 0
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SICE journal of control, measurement, and system integration
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