NONLINEAR NETWORK STRUCTURES FOR FEEDBACK CONTROL
- 1 December 1999
- journal article
- Published by Wiley in Asian Journal of Control
- Vol. 1 (4) , 205-228
- https://doi.org/10.1111/j.1934-6093.1999.tb00021.x
Abstract
A framework is given for controller design using Nonlinear Network Structures, which include both neural networks and fuzzy logic systems. These structures possess a universal approximation property that allows them to be used in feedback control of unknown systems without requirements for linearity in the system parameters or finding a regression matrix. Nonlinear nets can be linear or nonlinear in the tunable weight parameters. In the latter case weight tuning algorithms are not straightforward to obtain. Feedback control topologies and weight tuning algorithms are given here that guarantee closed‐loop stability and bounded weights. Extensions are discussed to force control, backstepping control, and output feedback control, where dynamic nonlinear nets are required.Keywords
This publication has 34 references indexed in Scilit:
- Implementation of a neural network tracking controller for a single flexible link: comparison with PD and PID controllersIEEE Transactions on Industrial Electronics, 1998
- Analysis of Adaptive Neural Networks for Helicopter Flight ControlJournal of Guidance, Control, and Dynamics, 1997
- Stable adaptive neural control scheme for nonlinear systemsIEEE Transactions on Automatic Control, 1996
- Practical stability issues in CMAC neural network control systemsIEEE Transactions on Control Systems Technology, 1996
- Adaptive control of unknown plants using dynamical neural networksIEEE Transactions on Systems, Man, and Cybernetics, 1994
- A new class of adaptive controllers for robot trajectory trackingJournal of Robotic Systems, 1994
- A perceptron network for functional identification and control of nonlinear systemsIEEE Transactions on Neural Networks, 1993
- Adaptive control of nonlinear systems using neural networksInternational Journal of Control, 1992
- Robust model reference adaptive controlIEEE Transactions on Automatic Control, 1986
- A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)Journal of Dynamic Systems, Measurement, and Control, 1975