Related references
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Yibo Ding et al.
Summary: This paper reviews the development of air-breathing hypersonic vehicles and their guidance and control technology. The development and classification of hypersonic vehicles worldwide are summarized, and the geometric configuration and mission profile of a typical air-breathing hypersonic vehicle are provided. The challenges in controlling air-breathing hypersonic vehicles are introduced, and various control methods are summarized accordingly. The design of terminal guidance laws under multiple constraints is also overviewed.
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Bo Li et al.
Summary: This article presents a study on the appointed fixed time control problem in the quadrotor unmanned aerial vehicle attitude control system subject to external disturbances. A novel sliding mode observer is established to estimate the external disturbances, and an appointed fixed time controller is proposed to track the desired attitude. The effectiveness and performance of the proposed schemes are demonstrated through numerical simulation results.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
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Summary: This article investigates the synchronization problem in finite-time and fixed-time of the drive-response delayed recurrent neural networks (RNNs) using an improved sliding mode control (SMC) approach. By constructing novel integral sliding mode surfaces and applying Lyapunov stability theory, the synchronization criteria for addressing the finite-time and fixed-time synchronization problem are effectively illustrated through numerical simulations.
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Yibo Ding et al.
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(2022)
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Juntao Fei et al.
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IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
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Maolong Lv et al.
Summary: This article proposes a fuzzy adaptive design for solving the finite-time constrained tracking problem of hypersonic flight vehicles. The design introduces a novel switching control law, an auxiliary compensating system, and tan-type barrier Lyapunov functions to handle different constraints, resulting in improved control performance.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
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Zhenlin Zhang et al.
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Pei Dai et al.
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Yuyan Guo et al.
Summary: This article investigates the finite-time deterministic learning control for the hypersonic flight vehicle dynamics with model uncertainty. The design consists of an offline training phase and an online control phase. The offline training phase utilizes radial-basis-function neural networks and FT composite learning laws to guarantee system tracking and learning convergence. The near-optimal learning knowledge is stored and used in the online control phase. Simulation results show that the offline FT learning control achieves better learning and tracking performance, and recalling the stored knowledge online reduces the computational load.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
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Jiaqi Zhao et al.
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Article
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Chong Zhenyu et al.
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TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2021)
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JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
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Yingxin Shou et al.
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AEROSPACE SCIENCE AND TECHNOLOGY
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Ammar Al-Jodah et al.
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