Results 41 to 50 of about 1,009,443 (262)
IET Control Theory & Applications, 2021 Otimal tracking control of discrete‐time non‐linear systems is investigated in this paper. The system drift dynamics is unknown in this investigation. Firstly, in the light of the discrete‐time non‐linear systems and reference signal, an augmented system
Jingang Zhao, Prateek Vishal
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Online identification of aerodynamics with fast time‐varying features using Kalman filter
IET Control Theory & Applications, 2021 This paper investigates the online identification method of the unsteady aerodynamics in the post‐stall manoeuvres. The main unsteady features are hysteresis and fast time varying due to the complex flow structure at large angles of attack.
Wanxin Zhang, Jihong Zhu
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Global stabilisation for a class of stochastic continuous non‐linear systems with time‐varying delay
IET Control Theory & Applications, 2021 This paper studies the problem of global stabilisation for a class of continuous but non‐smooth stochastic non‐linear systems with time‐varying delays. Other than the traditional backstepping recursive control, a concise controller of the nominal system ...
Yu Shao +4 more
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Toward Accurate Interpretable Predictions of Materials Properties within Transformer Language Models [PDF]
, 2023 Property prediction accuracy has long been a key parameter of machine learning in materials informatics. Accordingly, advanced models showing state-of-the-art performance turn into highly parameterized black boxes missing interpretability. Here, we present an elegant way to make their reasoning transparent.
arxiv +1 more source
Application and Realization of Fully Automatic Portal Crane
Highlights in Science Engineering and TechnologyAmong all kinds of lifting machinery and port machinery, the grab portal crane is the most widely used, while its automatic control is the most difficult.
Haobai Wen +3 more
semanticscholar +1 more source
IET Control Theory & Applications, 2021 In this article, an adaptive event‐triggered fault detection problem for the asynchronous Takagi–Sugeno fuzzy networked Markov jump systems is investigated based upon the time‐varying delays. The purpose of designing a fault detection filter is to detect
Muhammad Shamrooz Aslam +2 more
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T4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery [PDF]
arXiv, 2022 Deep learning and big data algorithms have become widely used in industrial applications to optimize several tasks in many complex systems. Particularly, deep learning model for diagnosing and prognosing machinery health has leveraged predictive maintenance (PdM) to be more accurate and reliable in decision making, in this way avoiding unnecessary ...
arxiv
IET Control Theory & Applications, 2021 In this work the fuzzy adaptive control issue is investigated for multiple‐input multiple‐output (MIMO) uncertain nonlinear systems in strict‐feedback form.
Jipeng Zhao, Shaocheng Tong, Yongming Li
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Distance‐based formation control for multi‐lane autonomous vehicle platoons
IET Control Theory & Applications, 2021 This paper investigates the formation control of connected autonomous vehicle (CAV) platoons moving in multi lanes using distance‐based formation control techniques based on rigid graphs and V2V communication.
Yajun Zheng +4 more
doaj +1 more source
Memory and attention in deep learning [PDF]
arXiv, 2021 Intelligence necessitates memory. Without memory, humans fail to perform various nontrivial tasks such as reading novels, playing games or solving maths. As the ultimate goal of machine learning is to derive intelligent systems that learn and act automatically just like human, memory construction for machine is inevitable.
arxiv