Decentralized adaptive control of nonlinear systems using radial basis neural networks

J.T. Spooner, K.M. Passino
1999 IEEE Transactions on Automatic Control  
Stable direct and indirect decentralized adaptive radial basis neural network controllers are presented for a class of interconnected nonlinear systems. The feedback and adaptation mechanisms for each subsystem depend only upon local measurements to provide asymptotic tracking of a reference trajectory. Due to the functional approximation capabilities of radial basis neural networks, the dynamics for each subsystem are not required to be linear in a set of unknown coefficients as is typically
more » ... s as is typically required in decentralized adaptive schemes. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds. ). Publisher Item Identifier S 0018-9286(99)08575-X.
doi:10.1109/9.802914 fatcat:phsxk43w65dndenhrr7kmyueyu