Adaptive Asymptotic Neural Network Control of Nonlinear Systems With Unknown Actuator Quantization
نویسندگان
چکیده
منابع مشابه
ADAPTIVE FUZZY TRACKING CONTROL FOR A CLASS OF NONLINEAR SYSTEMS WITH UNKNOWN DISTRIBUTED TIME-VARYING DELAYS AND UNKNOWN CONTROL DIRECTIONS
In this paper, an adaptive fuzzy control scheme is proposed for a class of perturbed strict-feedback nonlinear systems with unknown discrete and distributed time-varying delays, and the proposed design method does not require a priori knowledge of the signs of the control gains.Based on the backstepping technique, the adaptive fuzzy controller is constructed. The main contributions of the paper...
متن کاملAdaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities
In this paper, we present a new approach of designing adaptive neural network controllers for uncertain systems containing nonsmooth nonlinearities in the actuator device. The controllers are designed by introducing certain well-defined sign functions and neural network approximations as well as by using the backstepping technique. The salient feature of the approach is that no knowledge is ass...
متن کاملRobust Adaptive Actuator Failure Compensation of MIMO Systems with Unknown State Delays
In this paper, a robust adaptive actuator failure compensation control scheme is proposed for a class of multi input multi output linear systems with unknown time-varying state delay and in the presence of unknown actuator failures and external disturbance. The adaptive controller structure is designed based on the SPR-Lyapunov approach to achieve the control objective under the specific assump...
متن کاملAdaptive neural network control of nonlinear systems with unknown time delays
In this note, adaptive neural control is presented for a class of strict-feedback nonlinear systems with unknown time delays. Using appropriate Lyapunov–Krasovskii functionals, the uncertainties of unknown time delays are compensated for such that iterative backstepping design can be carried out. In addition, controller singularity problems are solved by using the integral Lyapunov function and...
متن کاملAdaptive Neural Network Generalized Predictive Control for Unknown Nonlinear System
This paper presents an adaptive neural control design for a class of unknown nonlinear systems. Novel state variables and the corresponding transform are introduced, such that the statefeedback control of a pure-feedback system can be viewed as the output-feedback control of a canonical system. An adaptive predictor incorporated with a neural network observer is proposed to obtain the future sy...
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: IEEE Transactions on Neural Networks and Learning Systems
سال: 2018
ISSN: 2162-237X,2162-2388
DOI: 10.1109/tnnls.2018.2828315