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Non-smooth finite-time adaptive stabilisation of cascade switched systems with asymmetric output constraints 具有非对称输出约束的级联开关系统的非平稳有限时间自适应稳定化
IF 2.1 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-03-25 DOI: 10.1080/00207179.2024.2332557
Xiangze Lin, Jingxin Huang, Ju H. Park
In this article, the problem of non-smooth finite-time (FT) adaptive state feedback stabilisation is investigated for asymmetric output-constrained cascade switched nonlinear systems (AOCCSNSs) wit...
本文研究了非对称输出受限级联开关非线性系统(AOCCSNSs)的非平稳有限时间(FT)自适应状态反馈稳定问题。
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引用次数: 0
Optimal control for reachability of Markov jump switching Boolean control networks subject to output trackability 马尔可夫跃迁切换布尔控制网络可达性的最优控制,受制于输出可跟踪性
IF 2.1 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-03-25 DOI: 10.1080/00207179.2024.2329723
Yalu Li, Haitao Li, Gaoxi Xiao
This article aims at designing the finite horizon optimal control sequence (FHOCS) for ensuring the reachability of Markov jump switching Boolean control networks (MJSBCNs) subject to output tracka...
本文旨在设计有限地平线最优控制序列(FHOCS),以确保马尔可夫跃迁切换布尔控制网络(MJSBCN)在输出跟踪条件下的可达性。
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引用次数: 0
Adaptive optimal control of switched linear systems with input constraints 具有输入约束条件的开关线性系统的自适应优化控制
IF 2.1 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-03-25 DOI: 10.1080/00207179.2024.2332522
Yuliang Wang, Jun Fu, Yue Fu
In this paper, an adaptive optimal control scheme is proposed for a class of switched linear systems with input constraints and unknown dynamics. Firstly, in the case that the system dynamics is kn...
本文针对一类具有输入约束条件和未知动态的开关线性系统提出了一种自适应最优控制方案。首先,在系统动力学是未知的情况下,系统的自适应最优控制方案是可行的;其次,在系统动力学是未知的情况下,系统的自适应最优控制方案是可行的。
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引用次数: 0
On convergence of occupational measures sets of a discrete-time stochastic control system, with applications to averaging of hybrid systems 论离散时间随机控制系统占优量集的收敛性,以及在混合系统平均化中的应用
IF 2.1 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-03-21 DOI: 10.1080/00207179.2024.2329731
Lucas Gamertsfelder
We establish that, under certain conditions, the set of random occupational measures generated by the state-control trajectories of a discrete-time stochastic system as well as the set of their mat...
我们确定,在某些条件下,离散时间随机系统的状态控制轨迹所产生的随机占优度量集合以及它们的矩阵集合,都是由离散时间随机系统的状态控制轨迹所产生的。
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引用次数: 0
Robustness improvement of optimal control in terms of RBFNN with empirical model reduction and transfer learning 利用经验模型还原和迁移学习改进 RBFNN 优化控制的鲁棒性
IF 2.1 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-03-21 DOI: 10.1080/00207179.2024.2328687
Anni Zhao, Arash Toudeshki, Reza Ehsani, Joshua H. Viers, Jian-Qiao Sun
This paper proposes a method to compute solutions of optimal controls for dynamic systems in terms of radial basis function neural networks (RBFNN) with Gaussian neurons. The RBFNN is used to compu...
本文提出了一种用带有高斯神经元的径向基函数神经网络(RBFNN)计算动态系统优化控制解的方法。RBFNN 用于计算动态系统的最优控制。
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引用次数: 0
Online neural sliding mode control with guaranteed stability 保证稳定性的在线神经滑动模式控制
IF 2.1 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-03-21 DOI: 10.1080/00207179.2024.2332521
Jacob G. Elkins, Farbod Fahimi
Model-based control systems allow engineers to leverage known system information in controllers, often resulting in improved control accuracy or robustness. However, these system models can change ...
基于模型的控制系统允许工程师在控制器中利用已知的系统信息,从而提高控制精度或鲁棒性。然而,这些系统模型可能会改变...
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引用次数: 0
Bisimulations of nonlinear feedback shift registers 非线性反馈移位寄存器的双模拟
IF 2.1 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-03-21 DOI: 10.1080/00207179.2024.2329728
Zhe Gao, Jun-e Feng
This work investigates how to reduce nonlinear feedback shift registers (NFSRs) in combination with bisimulation method via semi-tensor product (STP). By considering a large-scale NFSR as a smaller...
这项研究探讨了如何通过半张量乘积(STP)结合双仿真方法来减少非线性反馈移位寄存器(NFSR)。通过将大规模 NFSR 视为较小的...
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引用次数: 0
Estimator-based neural adaptive event-triggered control for strict-feedback nonlinear systems with incomplete measurements 基于估计器的神经自适应事件触发控制,用于具有不完全测量的严格反馈非线性系统
IF 2.1 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-03-15 DOI: 10.1080/00207179.2024.2327831
Zhongyi Wang, Yonghui Yang
This article addresses a neural adaptive event-triggered tracking control for a class of strict-feedback nonlinear dynamics with incomplete measurements, which is novel on the research of Cyber-phy...
本文针对一类具有不完全测量的严格反馈非线性动力学,提出了一种神经自适应事件触发跟踪控制,该控制方法在Cyber-phy...
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引用次数: 0
Pareto optimality of stochastic cooperative differential game with general delays in finite horizon 有限时间跨度内具有一般延迟的随机合作微分博弈的帕累托最优性
IF 2.1 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-03-11 DOI: 10.1080/00207179.2024.2326911
Zhang Qixia
The Pareto optimality of stochastic cooperative differential game with a discrete delay, a moving-average delay and a noisy memory process is studied. We establish two sets of equivalent necessary ...
研究了具有离散延迟、移动平均延迟和噪声记忆过程的随机合作微分博弈的帕累托最优性。我们建立了两组等价的必要...
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引用次数: 0
Iterative optimisation in dynamic environments via local pursuit 通过局部追寻实现动态环境中的迭代优化
IF 2.1 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-03-08 DOI: 10.1080/00207179.2024.2326150
G. Kartsiotis, D. Hristu-Varsakelis
We discuss an iterative optimal control approach in which a multi-agent group of control systems discovers locally optimal trajectories in environments with time-varying terrain geometry and moving...
我们讨论了一种迭代优化控制方法,在这种方法中,多代理控制系统组在具有时变地形几何和运动的环境中发现局部最优轨迹。
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引用次数: 0
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International Journal of Control
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