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Journal of Automation and Intelligence
Scopus
ISSN 2949-8554 · KeAi Communications Co., Ltd. · 96 artikel di indeks
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Artikel Jurnal
Prescribed performance robust output regulation of uncertain Euler–Lagrange systems via self-learning mechanism
This paper addresses the prescribed performance robust output regulation problem for Euler–Lagrange systems, where real-time reference signal information (such as position, velocity, and acceleration) is unavailable. We propose a control law that utilizes only the position tracking error and system…
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Artikel Jurnal
Adaptive neural network fixed-time formation control of unmanned ground vehicles
This paper is concerned with the fixed-time formation control problem of unmanned ground vehicles. The essential work of this paper is the development of a practical fixed-time formation control strategy for coordinated lateral and longitudinal control via adaptive neural control techniques…
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Artikel Jurnal
Generation of periodic steady-state dynamics of a hyperbolic PDE system via boundary actuation
The primary concern of the work is to cause forced oscillations for wave propagation by acting on its boundary. In practice, oscillations become useful, for example, in realizing a flexible cable when it gets stuck inside a surface or in rubbish. An appropriate dynamic model is first deduced from…
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Artikel Jurnal
Region-weighted gradient and motion-aware camera exposure control for robust visual odometry
Visual odometry (VO) often suffers from performance degradation in high dynamic range (HDR) scenarios due to uneven illumination conditions, adversely affecting localization accuracy. To address this challenge, we propose a camera exposure control algorithm designed to enhance the robustness of…
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A dynamic weighted deep-broad learning architecture for wind power interval prediction
Predicting wind power is essential for the stable and economical operation of power grids. Traditional point forecasts often struggle to capture volatility, while wind power interval prediction (WPIP) effectively quantifies associated uncertainties, providing comprehensive information for power…
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Artikel Jurnal
Research on model-free adaptive trajectory tracking cooperative control method of dual-arm
Addressing the problem of trajectory tracking accuracy degradation caused by high-degree-of-freedom dynamic coupling, model uncertainty, and communication delay in dual-arm cooperative systems, this paper presents a model-free adaptive control method that utilizes partial form dynamic linearization…
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Artikel Jurnal
Supervisory control of Petri nets with uncontrollable and unobservable transitions under replacement attacks
In this paper, we study the robust control of discrete event systems modeled by Petri nets with uncontrollable and unobservable transitions under replacement attacks. The existing supervisory control methods for discrete event systems modeled as Petri nets under replacement attack can only deal…
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Global quantized output feedback control of nonlinear systems under non-Lipschitz condition
In this paper, a novel backstepping-based output feedback control algorithm is developed for uncertain nonlinear systems subject to both input and output quantization, while ensuring the prescribed transient performance. The development of this control approach involves several crucial steps that…
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Dynamic carbon emission flow tracking with a new optimal storage schedule for power grids
With the global drive toward carbon neutrality, the deep integration of variable renewable energy sources (VRES) and energy storage systems (ESS) has rendered traditional static carbon accounting methods insufficient to capture the spatiotemporal dynamics of carbon flows in power grids…
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A survey of safety control for service robots
Safety constitutes the fundamental bottleneck in human–robot integration, particularly for service robots operating in unstructured environments. This survey systematically reviews the research progress in the field of robot safety control, focusing on injury prevention and resolution mechanisms in…
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Artikel Jurnal
From black box to physically interpretable: Trustworthy computing for AI-driven decision-making and control
As Artificial Intelligence (AI) becomes deeply integrated into the physical world, ensuring verifiable, robust, and safe decision-making and control is paramount. Purely data-driven methods, while successful in perception tasks, often suffer from a “black box” nature when deployed in…
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Artikel Jurnal
Leader–follower consensus of nonlinear multi-agent systems under DoS attack based on edge-event triggered mechanisms
Consider that nonlinear terms for multi-agent systems (MASs) exist and information transmission among agents is interrupted by denial-of-service (DoS) attacks, the paper focuses on the leader–follower consensus of nonlinear MASs under DoS attacks based on edge-event triggered mechanisms (EETMs)…
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Artikel Jurnal
Learning minimum-time flight control for fixed-wing UAVs in three-dimensional space with high-fidelity 6-DOF dynamics
Minimizing flight time while ensuring stability and efficiency presents a significant challenge in UAV control. This paper introduces velocity-level and actuator-level control approaches for addressing the minimum-time flight problem of fixed-wing UAVs, utilizing a six degrees of freedom (6-DOF)…
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Learning symbolic models of dynamical systems through Kolmogorov–Arnold Networks (KANs) in centralized and distributed settings
Identifying an interpretable and tractable model is a crucial step for the analysis and control of dynamical systems. In this work, we employ the recently introduced Kolmogorov–Arnold Networks (KANs), a novel neural network architecture tailored for symbolic regression and interpretability, to…
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Artikel Jurnal
Adaptive identification of distributed parameters in nonlinear PDE setting: Sine-Gordon case study
The primary concern of the work is to develop adaptive identification approach to uncertain dynamic systems governed by nonlinear partial differential equations. The well-known nonlinear sine-Gordon PDE model, which describes distributed wave dynamics (e.g., of continuum of interacting…
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Artikel Jurnal
Security stabilization for switched systems via dynamic sampling strategies
This paper investigates the problem of state feedback stabilization for a class of planar switched nonlinear systems (PSNSs) subject to Denial-of-Service (DoS) attacks. By incorporating a technique that adding a power integrator and developing switched dynamic event-triggered mechanisms (SDE-TMs)…
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Agentic AI: The age of reasoning—A review
Artificial intelligence has experienced a significant boom with the emergence of agentic AI, where autonomous agents are increasingly replacing human intervention, enabling systems to perceive, reason, and act independently to achieve specific goals. Despite its transformative potential…
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Artikel Jurnal
Adaptive optimal tracking control for underactuated surface vessels using extended state observer and reinforcement learning
This paper investigates the adaptive optimal tracking control (AOTC) for underactuated surface vessels (USVs). Compared to the majority of existing studies, the control strategy in this paper innovatively combines an extended state observer (ESO) with reinforcement learning (RL). The designed ESO…
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Artikel Jurnal
Output feedback prescribed performance state synchronization for leader-following high-order uncertain nonlinear multi-agent systems
This paper addresses the synchronization of follower agents’ state vectors with that of a leader in high-order nonlinear multi-agent systems. The proposed low-complexity control scheme employs high-gain observers to estimate higher-order synchronization errors, enabling the controller to rely…