Direct adaptive fuzzy control with a self-structuring algorithm
Fuzzy Sets and Systems
Intelligent adaptive control for MIMO uncertain nonlinear systems
Expert Systems with Applications: An International Journal
Adaptive growing-and-pruning neural network control for a linear piezoelectric ceramic motor
Engineering Applications of Artificial Intelligence
International Journal of Intelligent Systems Technologies and Applications
Fuzzy Backstepping Controllers for Two-Wheeled Self-Balancing Robot
CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
Blind source separation with dynamic source number using adaptive neural algorithm
Expert Systems with Applications: An International Journal
Adaptive fuzzy controller for non-affine systems with zero dynamics
International Journal of Systems Science
Dynamic structure adaptive neural fuzzy control for MIMO uncertain nonlinear systems
Information Sciences: an International Journal
Quadratic optimal neural fuzzy control for synchronization of uncertain chaotic systems
Expert Systems with Applications: An International Journal
IEEE Transactions on Neural Networks
Adaptive neural control for strict-feedback nonlinear systems without backstepping
IEEE Transactions on Neural Networks
Direct adaptive self-structuring fuzzy controller for nonaffine nonlinear system
Fuzzy Sets and Systems
Adaptive fuzzy tracking control for a class of uncertain nonlinear systems
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Information Sciences: an International Journal
Adaptive fuzzy wavelet neural controller design for chaos synchronization
Expert Systems with Applications: An International Journal
A stable online self-constructing recurrent neural network
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Adaptive neural control for a class of MIMO non-linear systems with guaranteed transient performance
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Journal of Control Science and Engineering - Special issue on Dynamic Neural Networks for Model-Free Control and Identification
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A direct adaptive state-feedback controller is proposed for highly nonlinear systems. We consider uncertain or ill-defined nonaffine nonlinear systems and employ a neural network (NN) with flexible structure, i.e., an online variation of the number of neurons. The NN approximates and adaptively cancels an unknown plant nonlinearity. A control law and adaptive laws for the weights in the hidden layer and output layer of the NN are established so that the whole closed-loop system is stable in the sense of Lyapunov. Moreover, the tracking error is guaranteed to be uniformly asymptotically stable (UAS) rather than uniformly ultimately bounded (UUB) with the aid of an additional robustifying control term. The proposed control algorithm is relatively simple and requires no restrictive conditions on the design constants for the stability. The efficiency of the proposed scheme is shown through the simulation of a simple nonaffine nonlinear system.