Annual Reviews in Control最新文献

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IF 10.7 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Reviews in Control

Pub Date : 2025-01-01

引用次数: 0

IF 10.7 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Reviews in Control

Pub Date : 2025-01-01

引用次数: 0

Funnel control — A survey 漏斗控制——一项调查

IF 10.7 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Reviews in Control

Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101024

Thomas Berger , Achim Ilchmann , Eugene P. Ryan

The methodology of funnel control was introduced in the early 2000s, and it has developed since then in many respects achieving a level of mathematical maturity balanced by practical applications. Its fundamental tenet is the attainment of prescribed transient and asymptotic behaviour for continuous-time controlled dynamical processes encompassing linear and nonlinear systems described by functional differential equations, differential–algebraic systems, and partial differential equations. Considered are classes of systems specified only by structural properties – such as relative degree and stable internal dynamics. Prespecified are: a funnel shaped through the choice of a function (absolutely continuous), freely selected by the designer, and a class of (sufficiently smooth) reference signals. The aim is to design a single ‘simple’ feedback strategy (using only input and output information) – called the funnel controller – which, applied to any system of the given class and for any reference signal of the given class, achieves the funnel control objective: that is, the closed-loop system is well-posed in the sense that all signals (both internal and external) are bounded and globally defined, and – most importantly – the error between the system’s output and the reference signal evolves within the prespecified funnel.

The survey is organized as follows. In the Introduction, the genesis of funnel control is outlined via the most simple class of systems: the linear prototype of scalar, single-input, single-output systems. Generalizing the prototype, there follows an exposition of diverse system classes (described by linear, nonlinear, functional, partial differential equations, and differential–algebraic equations) for which funnel control is feasible. The structure and properties of funnel control – in its various guises attuned to available output information – are described and analysed. Up to this point, the treatment is predicated on an implicit assumption that system inputs are unconstrained. Ramifications of input constraints and their incorporation in the funnel methodology are then discussed. Finally, practical applications and implementations of funnel control are highlighted.

漏斗控制方法是在21世纪初引入的，从那时起，它在许多方面得到了发展，在实际应用中达到了数学成熟度的平衡水平。它的基本宗旨是实现规定的瞬态和渐近行为的连续时间控制的动态过程，包括线性和非线性系统描述的泛函微分方程，微分代数系统，和偏微分方程。考虑的是仅由结构特性指定的系统类别-例如相对程度和稳定的内部动力学。预先指定的是：通过选择函数（绝对连续）形成的漏斗，由设计师自由选择，以及一类（足够光滑的）参考信号。目的是设计一个单一的“简单”反馈策略（只使用输入和输出信息）-称为漏斗控制器-它适用于给定类的任何系统和给定类的任何参考信号，实现漏斗控制目标：也就是说，闭环系统在某种意义上是良好的，因为所有信号（内部和外部）都是有界的和全局定义的，最重要的是，系统输出和参考信号之间的误差在预先指定的漏斗内演变。调查安排如下：在引言中，漏斗控制的起源是通过最简单的一类系统来概述的：标量、单输入、单输出系统的线性原型。对原型进行了推广，随后阐述了各种系统类（由线性、非线性、泛函、偏微分方程和微分代数方程描述），其中漏斗控制是可行的。描述和分析了漏斗控制的结构和特性——根据可用的输出信息调整的各种形式。到目前为止，处理是基于一个隐含的假设，即系统输入是不受约束的。然后讨论了输入约束的后果及其在漏斗方法中的结合。最后，重点介绍了漏斗控制的实际应用和实现。

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引用次数: 0

A systems perspective on promoting sustainable food systems 促进可持续粮食系统的系统视角

IF 10.7 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Reviews in Control

Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101020

Angela Fontan , Patricia Eustachio Colombo , Rosemary Green , Karl H. Johansson

Global food systems are at the center of some of the most pressing modern societal challenges: They are significant contributors to a range of systemic issues, including health problems and chronic diseases, greenhouse gas emissions and general environmental degradation, and increasing financial burdens on healthcare and economies. Within these complex systems, final sustainable consumption, which refers to the adoption of diets that are both healthy and environmentally friendly, plays a critical role. Significant changes in contemporary dietary patterns are essential to address the rising burden of chronic diseases and public health outcomes and the escalating climate crisis. Achieving these shifts requires coordinated action from policymakers, consumers, and the scientific community in an effort to support the development, implementation, and evaluation of advertising and policy instruments that promote healthier and more sustainable dietary choices. However, driving changes in dietary behavior is a complex challenge, shaped by the interplay of heterogeneous influences, including biological, social, cultural, environmental, political, and economic factors, and further complicated by the difficulty of validating proposed approaches in ways that are both efficient and ethically sound. This vision paper presents the problem of promoting healthy and environmentally friendly diets and their implications for environmental sustainability. In particular, it discusses a systems approach based on social network dynamics and social interventions, illustrating recent findings that demonstrate the potential of influence strategies to drive dietary change. Finally, key scientific challenges and emerging research opportunities are highlighted.

全球粮食系统处于一些最紧迫的现代社会挑战的中心：它们是一系列系统性问题的重要贡献者，包括健康问题和慢性病、温室气体排放和一般环境退化，以及医疗保健和经济日益沉重的财政负担。在这些复杂的系统中，最终可持续消费，即采用既健康又环保的饮食，起着关键作用。当代饮食模式的重大改变对于解决慢性病和公共卫生后果日益加重的负担以及不断升级的气候危机至关重要。实现这些转变需要决策者、消费者和科学界的协调行动，努力支持广告和政策工具的制定、实施和评估，以促进更健康和更可持续的饮食选择。然而，推动饮食行为的改变是一项复杂的挑战，受到各种异质影响的相互作用，包括生物、社会、文化、环境、政治和经济因素，而以既有效又合乎道德的方式验证所提出的方法的难度进一步复杂化。本远景文件提出了促进健康和环境友好型饮食的问题及其对环境可持续性的影响。特别地，它讨论了一种基于社会网络动态和社会干预的系统方法，说明了最近的发现，证明了影响策略在推动饮食变化方面的潜力。最后，强调了关键的科学挑战和新兴的研究机会。

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引用次数: 0

A general framework for verification and control of dynamical models via certificate synthesis 一个通过证书合成来验证和控制动态模型的通用框架

IF 10.7 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Reviews in Control

Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101028

Alec Edwards , Andrea Peruffo , Alessandro Abate

An emerging branch of control theory specialises in certificate learning, concerning the specification of a desired (possibly complex) system behaviour for an autonomous or control model, which is then analytically verified by means of a function-based proof. However, the synthesis of controllers abiding by these complex requirements is in general a non-trivial task and may elude the most expert control engineers. This results in a need for automatic techniques that are able to design controllers and to analyse a wide range of elaborate specifications. In this paper, we provide a general framework to encode system specifications and define corresponding certificates, and we present an automated approach to formally synthesise controllers and certificates. Our approach contributes to the broad field of safe learning for control, exploiting the flexibility of neural networks to provide candidate control and certificate functions, whilst using SAT-modulo-theory (SMT)-solvers to offer a formal guarantee of correctness. We test our framework by developing a prototype software tool, and assess its efficacy at verification via control and certificate synthesis over a large and varied suite of benchmarks.

控制理论的一个新兴分支专注于证书学习，涉及自治或控制模型所需（可能复杂的）系统行为的规范，然后通过基于功能的证明进行分析验证。然而，符合这些复杂要求的控制器的合成通常是一项不平凡的任务，可能会避开最专业的控制工程师。这导致需要能够设计控制器和分析各种详细规格的自动技术。在本文中，我们提供了一个通用的框架来编码系统规范和定义相应的证书，我们提出了一种自动化的方法来形式化地综合控制器和证书。我们的方法有助于控制安全学习的广泛领域，利用神经网络的灵活性来提供候选控制和证书功能，同时使用sat -模理论（SMT）求解器来提供正确性的正式保证。我们通过开发一个原型软件工具来测试我们的框架，并通过对大量不同基准的控制和证书合成来评估其有效性。

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引用次数: 0

From road congestion to vehicle-control enabled artificial traffic fluids 从道路拥堵到车辆控制，人工交通流体

IF 7.3 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Reviews in Control

Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.100989

Iasson Karafyllis , Dionysios Theodosis , Markos Papageorgiou , Miroslav Krstic

This article provides an overview of the design of purely reactive nonlinear feedback two-dimensional Cruise Controllers (CCs) for CAVs relying on two combined principles: (a) Lane-free traffic, whereby vehicles are not bound to fixed traffic lanes; and (b) Vehicle nudging, whereby vehicles influence other vehicles in front or on the sides of them. The design of the two-dimensional CCs is based on a control Lyapunov methodology, with the considered system being subject to various state constraints, and guarantees a number of desired features, including collision avoidance and road boundary respect. Additionally, the emerging macroscopic traffic flow models are derived, and direct relations are established between selectable CC features and the resulting macroscopic traffic flow characteristics. This allows the active design of efficient traffic flow with desired properties, i.e., the construction of artificial traffic fluids.

本文概述了基于两个组合原则的纯响应式非线性反馈二维巡航控制器（CCs）的设计：(a)无车道交通，即车辆不受固定车道的约束；及(b)车辆轻推，即车辆影响其前方或两侧的其他车辆。二维cc的设计基于李雅普诺夫控制方法，所考虑的系统受到各种状态约束，并保证许多所需的特征，包括避免碰撞和道路边界尊重。此外，推导了新兴的宏观交通流模型，并建立了可选择CC特征与宏观交通流特征之间的直接关系。这允许主动设计具有所需特性的高效交通流，即人工交通流体的构建。

引用次数: 0

Hierarchical generalized extended parameter identification for multivariable equation-error ARMA-like systems by using the filtering identification idea 基于滤波辨识思想的多变量方程误差类arma系统的层次广义扩展参数辨识

IF 7.3 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Reviews in Control

Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.100993

Feng Ding , Ling Xu , Xiao Zhang , Huan Xu , Yihong Zhou , Xiaoli Luan

The filtering identification idea is an effective tool for handling the parameter identification of systems with colored noise. The hierarchical identification principle is an effective approach for addressing the identification of complex systems. For multivariable equation-error autoregressive moving-average-like (M-EEARMA-like) models with colored noise, which are also called multivariable controlled autoregressive autoregressive moving-average-like (M-CARARMA-like) models, this paper investigates and proposes the filtered hierarchical generalized extended stochastic gradient identification method, the filtered hierarchical multi-innovation generalized extended stochastic gradient identification method, the filtered hierarchical generalized extended recursive gradient identification method, the filtered hierarchical multi-innovation generalized extended recursive gradient identification method, the filtered hierarchical generalized extended least squares identification method, and the filtered hierarchical multi-innovation generalized extended least squares identification method by using the filtering identification idea and the hierarchical identification principle from available input–output data. These filtered hierarchical generalized extended identification methods can be extended to other linear and nonlinear multivariable stochastic systems with colored noise.

滤波辨识思想是处理有色噪声系统参数辨识的有效工具。层次辨识原理是解决复杂系统辨识问题的有效方法。针对带有色噪声的多变量方程误差自回归类移动平均（M-EEARMA-like）模型，又称多变量控制自回归类移动平均（M-CARARMA-like）模型，研究并提出了滤波分层广义扩展随机梯度辨识方法、滤波分层多创新广义扩展随机梯度辨识方法、滤波层次广义扩展递推梯度辨识方法、滤波层次多创新广义扩展递推梯度辨识方法、滤波层次广义扩展最小二乘辨识方法；利用滤波辨识思想和层次辨识原理，从可用的输入输出数据中得到滤波层次多创新广义扩展最小二乘辨识方法。这些滤波后的层次广义扩展辨识方法可以推广到其他具有有色噪声的线性和非线性多变量随机系统。

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引用次数: 0

IF 10.7 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Reviews in Control

Pub Date : 2025-01-01

引用次数: 0

Predictive and robust control strategies applied to ground antenna systems 预测和鲁棒控制策略应用于地面天线系统

IF 7.3 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Reviews in Control

Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.100995

Rodrigo Negri de Azeredo , Mohamed Hajjem , Lara Thomas , Stéphane Victor , Patrick Lanusse , Pierre Melchior

A mobile antenna system requires precise control that combines good trajectory tracking and disturbance rejection. The system has several operating scenarios, demanding a robust control design that ensures good performance and stability for a set of uncertain models. Moreover, ground stations are mainly outdoor operating systems, and they are subject to wind gusts that impact the accuracy of the position control. This paper presents a study using predictive control and robust controllers (CRONE and

H_{\infty}

strategies) to assess the application feasibility of these methodologies in tracking antenna systems. The control system design of both CRONE and

H_{\infty}

strategies are carried out in frequency domain. Time domain analysis demonstrates that both robust controllers yield very similar results, ensuring excellent stability and outstanding performances in tracking trajectory operation. The choice of control strategy ultimately depends on the designer’s expertise, software/hardware requirements, and the complexity of the system model, with an advantage of the CRONE controller in terms of robustness and practical implementation. Simulation results are validated on tracking satellite trajectories by comparing MPC, CRONE and

H_{\infty}

controls with various robustness tests.

移动天线系统需要精确的控制，并结合良好的轨迹跟踪和抗干扰能力。该系统有多个操作场景，需要一个鲁棒控制设计，以确保一组不确定模型的良好性能和稳定性。此外，地面站主要是室外操作系统，它们受到阵风的影响，影响位置控制的准确性。本文提出了一项研究，使用预测控制和鲁棒控制器（CRONE和H∞策略）来评估这些方法在跟踪天线系统中的应用可行性。在频域进行了CRONE策略和H∞策略的控制系统设计。时域分析表明，两种鲁棒控制器产生的结果非常相似，确保了良好的稳定性和跟踪轨迹运行的优异性能。控制策略的选择最终取决于设计人员的专业知识，软件/硬件要求以及系统模型的复杂性，CRONE控制器在鲁棒性和实际实现方面具有优势。通过对MPC、CRONE和H∞控制进行鲁棒性测试，验证了仿真结果对卫星轨迹的跟踪效果。

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引用次数: 0

Path to Artificial General Intelligence: Past, present, and future 通用人工智能之路：过去、现在和未来

IF 10.7 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Reviews in Control

Pub Date : 2025-01-01 DOI: 10.1016/j.arcontrol.2025.101021

Ruhi Sarikaya

During the past decade, there has been remarkable progress in Artificial Intelligence (AI). More recently, the emergence of Generative AI was an inflection point in cognitive pattern understanding and generation across multiple modalities including speech, text, imagery, and vision, where AI systems are increasingly matching or surpassing human performance on a growing array of cognitive tasks. These models have been seamlessly integrated into numerous applications and products, reaching hundreds of millions of users. As a result, discussions regarding the achievement of Artificial General Intelligence (AGI) have shifted from theoretical speculation to a plausible near to mid-term objective. In this paper, we present a comprehensive review of the evolution of AI from its inception to the present day. We then examine how advances in computational infrastructure, algorithms, and large-scale modeling are converging to drive the generative AI revolution and shaping the trajectory toward AGI, potentially within the next 5-to-10 years. Specifically, we analyze recent progress in compute capabilities, learning algorithms, and model architectures across a broad spectrum of cognitive tasks. We also share our perspective on the key challenges that remain to be solved, and discuss the critical risks that must be addressed to ensure the safe and beneficial development of AI systems that may eventually exceed human-level performance in perception, reasoning, and general cognition.

在过去的十年里，人工智能（AI）取得了显著的进步。最近，生成式人工智能的出现是跨多种模式（包括语音、文本、图像和视觉）的认知模式理解和生成的转折点，人工智能系统在越来越多的认知任务中越来越多地匹配或超越人类的表现。这些模型已经无缝集成到众多应用程序和产品中，覆盖了数亿用户。因此，关于实现通用人工智能（AGI）的讨论已经从理论推测转变为一个看似合理的近期或中期目标。在本文中，我们对人工智能从诞生到现在的发展进行了全面的回顾。然后，我们研究了计算基础设施、算法和大规模建模方面的进步是如何融合在一起的，以推动生成式人工智能革命，并塑造AGI的发展轨迹，这可能在未来5到10年内实现。具体来说，我们分析了在广泛的认知任务中计算能力、学习算法和模型架构方面的最新进展。我们还分享了我们对仍待解决的关键挑战的看法，并讨论了必须解决的关键风险，以确保人工智能系统的安全和有益发展，这些系统最终可能在感知、推理和一般认知方面超过人类水平的表现。

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