Output recurrent wavelet neural network-based adaptive backstepping controller for a class of MIMO nonlinear non-affine uncertain systems

Lee, Ching Hung; Chang, Hua Hsiang

doi:10.1007/s00521-012-1326-2

Cited by 10 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The wavelet function is obtained by the shift of the parent wavelet through the translation and the scale expansion. The wavelet analysis is to decompose the related original signal into a series of wavelet functions to superpose [9]. The wavelet transform is to transform the ) (t ϕ of a radial wavelet function into the inner product of different signals at different scales, as shown in Eq.…”

Section: Output Recursive Wavelet Neural Networkmentioning

confidence: 99%

Study on online soft sensor method of total sugar content in chlorotetracycline fermentation tank

et al. 2020

View full text Add to dashboard Cite

AbstractIn order to solve the problem that the total sugar content of the chlortetracycline fermentation tank can not be automatically detected online, a prediction method which combines the output recursive wavelet neural network and the Gauss process regression is proposed in this paper. A soft sensor model between the measurable parameters (inputs) and the total sugar content (output) of the chlortetracycline fermentation tank was established. The soft sensor model was trained by self updating algorithm. Based on field data, the accuracy and generalization ability of the soft sensor model were analyzed. It is shown that the prediction accuracy of the combined model proposed in this paper is better than that of other single models. The results demonstrate the superiority of the method, and MRE and RMSE are used to evaluate the performance of the soft sensor model. It shows that the prediction precision of the soft sensor model based on ORWNN-GPR combination is relatively high in the long period of fermentation, and is suitable for on-line prediction of the total sugar content of the chlortetracycline fermentation tank. The soft sensor method can effectively reduce the labor intensity of the analysts and saves the production cost for enterprise.

show abstract

Section: Output Recursive Wavelet Neural Networkmentioning

confidence: 99%

Study on online soft sensor method of total sugar content in chlorotetracycline fermentation tank

et al. 2020

View full text Add to dashboard Cite

show abstract

“…WNN-based control systems have been adopted widely for control of complex dynamical systems owing to their fast learning properties and good generalization capability. Moreover, recurrent wavelet neural networks (RWNNs), which combine properties such as dynamic response of recurrent neural networks and the fast convergence of WNNs, have been proposed to identify and control nonlinear systems [19][20][21][22][23][24][25][26]. An intelligent control system using a recurrent wavelet-based Elman neural network for position control of a permanent magnet synchronous motor servo drive was proposed in [27].…”

Section: Introductionmentioning

confidence: 99%

A wavelet neural control scheme for a quadrotor unmanned aerial vehicle

Jurado

Lopez

2018

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

Wavelets are designed to have compact support in both time and frequency, giving them the ability to represent a signal in the two-dimensional time-frequency plane. The Gaussian, the Mexican hat and the Morlet wavelets are crude wavelets that can be used only in continuous decomposition. The Morlet wavelet is complex-valued and suitable for feature extraction using the continuous wavelet transform. Continuous wavelets are favoured when high temporal and spectral resolution is required at all scales. In this paper, considering the properties from the Morlet wavelet and based on the structure of a recurrent high-order neural network model, a novel wavelet neural network structure, here called a recurrent Morlet wavelet neural network, is proposed in order to achieve a better identification of the behaviour of dynamic systems. The effectiveness of our proposal is explored through the design of a decentralized neural backstepping control scheme for a quadrotor unmanned aerial vehicle. The performance of the overall neural identification and control scheme is verified via simulation and real-time results.This article is part of the theme issue 'Redundancy rules: the continuous wavelet transform comes of age'.

show abstract

“…Nonlinear exists in most of practical systems,which are disturbanced by all kinds of factors simultaneously.So it is essential to study the control strategy of nonlinear systems.Backstepping control and adaptive control are very popular in designing nonlinear systems [1][2][3][4][5][6][7][8][9][10]. They have been used in many fields.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Robust Control of a Class of Uncertain Nonlinear Systems Based on Backstepping

Hai

Zhu

2013

AMM

View full text Add to dashboard Cite

Aiming at the control of a class of bounded disturbance uncertain nonlinear systems,we applied robust control and backstepping control,introduced the concept of virtual control quantity,chose Lyapunov function through stepwise recursion,offered the adaptive law of parameters estimate,designed an adaptive controller with state feedback in the premise of unknown uncertain parameters in the systems, and analyzed its stability. Compared with the conventional PID control in simulation results, the designed controller has the better robustness of the system parameter uncertainty and bounded disturbances, and can ensure the entire closed-loop system is globally asymptotically stable, thus verifying the effectiveness of the proposed control strategy.

show abstract

Output recurrent wavelet neural network-based adaptive backstepping controller for a class of MIMO nonlinear non-affine uncertain systems

Cited by 10 publications

References 22 publications

Study on online soft sensor method of total sugar content in chlorotetracycline fermentation tank

Study on online soft sensor method of total sugar content in chlorotetracycline fermentation tank

A wavelet neural control scheme for a quadrotor unmanned aerial vehicle

Adaptive Robust Control of a Class of Uncertain Nonlinear Systems Based on Backstepping

Contact Info

Product

Resources

About