Zobrazeno 1 - 10
of 1 132
pro vyhledávání: '"Model-free adaptive control"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract This paper studies the consensus problem for a class of unknown heterogeneous nonlinear multi-agent systems via a network with random packet dropouts. Based on the dynamic linearization technique, novel model-free adaptive consensus protocol
Externí odkaz:
https://doaj.org/article/f29608c584ad4710b8333e2b9844ca1e
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 9-10, Pp 1661-1674 (2024)
Abstract A high‐order improved model free adaptive control method based on iterative learning is designed to address the problem that primary permanent magnet linear motor has poor control performance, susceptibilities to load disturbances and othe
Externí odkaz:
https://doaj.org/article/3fb5400b89c14d2a86f3311c0a4a149e
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
Model-Free Adaptive Control (MFAC) is a control strategy that eliminates the need for prior knowledge of the system model by leveraging online data to learn the system dynamics and design controllers. This paper offers a comprehensive exploration of
Externí odkaz:
https://doaj.org/article/a032d8978cb042afb3671f86b82c5a58
Publikováno v:
水下无人系统学报, Vol 32, Iss 1, Pp 57-65 (2024)
Unmanned surface vessels(USVs) are subjected to environmental disturbance in the process of movement. In particular, after being disturbed by waves, its motion control will deviate from the expected path, resulting in a waste of energy. In response t
Externí odkaz:
https://doaj.org/article/b94fdab6b26240c98db57cec431355f1
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 1, Pp 75-83 (2024)
ObjectiveAiming at the uncertainty of model perturbation and external interference in unmanned surface vehicles (USVs), an improved model-free adaptive control (MFAC) method suitable for the heading control of USVs is proposed. MethodsBased on the ex
Externí odkaz:
https://doaj.org/article/3c78e78e53114d9f97c799260dc78fda
Autor:
Bing Ren, Guangqing Bao
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 5, Pp 2461-2471 (2024)
For simple-input and simple-output (SISO) discrete-time nonlinear systems, an observer-based event-triggered model-free adaptive sliding mode predictive control technique (EMFASPC) is put forth in this study. The estimate of pseudo partial derivative
Externí odkaz:
https://doaj.org/article/66f971f9c1914e028f11593af810ea93
Publikováno v:
IEEE Access, Vol 12, Pp 53633-53645 (2024)
This article proposes an event-triggered resilient control algorithm for cigarette weight control systems to defend against denial of service attacks (DoS) attacks and false data injection (FDI) attacks. First, the mathematical model of the system is
Externí odkaz:
https://doaj.org/article/0a47a66ed1374cab8f2b275193b872f3
Publikováno v:
Mathematics, Vol 12, Iss 21, p 3313 (2024)
This article studies a data-driven prescribed performance platooning control method for nonlinear connected automated vehicle systems (CAVs) under aperiodic denial-of-service (DoS) attacks. Firstly, the dynamic linearization technique is employed to
Externí odkaz:
https://doaj.org/article/78b25e812c4e4dd2adf8b85062b3c417
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2531-2539 (2023)
Abstract The fault-tolerant tracking control problem is studied for the discrete-time systems with actuator faults. To lessen adverse impacts of actuator fault, a PPD information-driven fault estimation algorithm is established to adaptively estimate
Externí odkaz:
https://doaj.org/article/85fdadfbb9c0450a88e051ac7ecaeba4
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2271-2297 (2023)
Abstract This article presents model-free adaptive control based on an intuitionistic fuzzy neural network for nonlinear systems with event-triggered output. Essentially, model-free adaptive control (MFAC) is constructed by establishing an online app
Externí odkaz:
https://doaj.org/article/8fb0e7aa643c411da70b4d6b036116f9