Neural networks adaptive control for fractional?order non?linear system with unmodelled dynamics and actuator faults
نویسندگان
چکیده
The fault-tolerant control (FTC) problem for fractional-order (FO) non-linear systems with unmodelled dynamics and actuator faults is studied. First, the author uses neural networks (NNs) to identify unknown functions apply a FO dynamic signal dynamics. Then, surface (FODSC) introduced in design process of adaptive backstepping algorithm avoid complex explosion problems. In addition, an NNs FTC using Lyapunov stability criterion designed. Importantly, shows that proposed system stable, tracking error could be converged small neighbourhood zero. Finally, simulation example used verify effectiveness scheme.
منابع مشابه
Robust adaptive control of nonlinear systems with unmodelled dynamics
A robust adaptive output feedback controller is proposed for a class of nonlinear systems represented by input–output models. In the design of the adaptive controller, a signal is used to characterise the unmodelled dynamics and a nonlinear damping term is introduced to counteract the effects of the unmodelled dynamics and bounded disturbances. With the proposed controller, all the variables in...
متن کاملAdaptive Internal Model Neural Networks Control for Nonlinear System
In this paper is proposed an Adaptive method for Internal Model based on neural network Control (AIMC) for nonlinear time-varying systems. The corresponding algorithm uses a variable learning rate. The proposed method is dependent on the availability of the inverse model of the system and the availability of the internal model in each moment. The bloc of online inverse model and on-line interna...
متن کاملOn Optimizing Nonlinear Adaptive Control Allocationwith Actuator Dynamics
In this work we address the optimizing control allocation problem for a nonlinear over-actuated time-varying system where parameters af ne in the dynamic actuator and effector model may be assumed unknown. In-stead of nding the optimal control allocation at each time instant, a dynamic approach is considered by constructing update-laws that represent asymptotically optimal allocation search and...
متن کاملModeling and Control of Gas Turbine Combustor with Dynamic and Adaptive Neural Networks (TECHNICAL NOTE)
متن کامل
Adaptive Fuzzy Sliding Mode Control for Uncertain Nonlinear Systems Against Actuator Faults
In this paper, we propose to combine the fuzzy sliding mode control to tolerate actuator faults of unknown nonlinear systems subject to external disturbances. In particular, the idea of using adaptive fuzzy system to tolerate actuator faults of unknown nonlinear systems by approximating the system functions and the effects caused by actuator faults are avoided by the control structure. On the b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Iet Control Theory and Applications
سال: 2022
ISSN: ['1751-8644', '1751-8652']
DOI: https://doi.org/10.1049/cth2.12279