ART based adaptive pole placement for neurocontrollers
Neural Networks
Three-Dimensional Structured Networks for Matrix Equation Solving
IEEE Transactions on Computers - Special issue on artificial neural networks
Linear time-varying systems: control and adaptation
Linear time-varying systems: control and adaptation
Recurrent Neural Networks for Computing Pseudoinverses of Rank-Deficient Matrices
SIAM Journal on Scientific Computing
Robust neural adaptive stabilization of unknown systems withmeasurement noise
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A neural-network method for the nonlinear servomechanism problem
IEEE Transactions on Neural Networks
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
Growing Algorithm of Laguerre Orthogonal Basis Neural Network with Weights Directly Determined
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Hi-index | 22.14 |
Based on a power-series approximation method, recurrent neural networks (RNN) are proposed for real-time synthesis and auto-tuning of feedback controllers for nonlinear output regulation systems. The proposed neurocontrol approach represents a novel application of recurrent neural networks to the nonlinear output regulation problem. The proposed approach completely inherits the stability and asymptotic tracking properties guaranteed by original nonlinear output regulation systems, due to its globally exponential convergence. Excellent operating characteristics of the proposed RNN-based controller and the closed-loop nonlinear control systems are demonstrated by using simulation results of the ball-and-beam system and the inverted pendulum on a cart system.