Abstract: A novel intelligent multiple-controller framework incorporating a fuzzy-logic based swi... more Abstract: A novel intelligent multiple-controller framework incorporating a fuzzy-logic based switching supervisor is presented for adaptive control of non-linear systems. The proposed methodology provides the designer with an automated choice of using either: a ...
A new adaptive multiple-controller is proposed incorporating a neural network based Generalized L... more A new adaptive multiple-controller is proposed incorporating a neural network based Generalized Learning Model (GLM). The GLM assumes that the unknown complex plant is represented by an equivalent stochastic model consisting of a linear time-varying sub-model plus a Radial Basis Function (RBF) neural-network based learning sub-model . The proposed non-linear multiple-controller methodology provides the designer (through simple switching) with a
Abstract: A novel intelligent multiple-controller framework incorporating a fuzzy-logic based swi... more Abstract: A novel intelligent multiple-controller framework incorporating a fuzzy-logic based switching supervisor is presented for adaptive control of non-linear systems. The proposed methodology provides the designer with an automated choice of using either: a ...
Abstract In this paper a new multi-variable adaptive controller algorithm for non-linear dynamica... more Abstract In this paper a new multi-variable adaptive controller algorithm for non-linear dynamical systems has been derived which employs the radial basis function (RBF) neural network. In the proposed controller, the unknown plant is represented by an equivalent ...
Abstract: A novel intelligent multiple-controller framework incorporating a fuzzy-logic based swi... more Abstract: A novel intelligent multiple-controller framework incorporating a fuzzy-logic based switching supervisor is presented for adaptive control of non-linear systems. The proposed methodology provides the designer with an automated choice of using either: a ...
A new adaptive multiple-controller is proposed incorporating a neural network based Generalized L... more A new adaptive multiple-controller is proposed incorporating a neural network based Generalized Learning Model (GLM). The GLM assumes that the unknown complex plant is represented by an equivalent stochastic model consisting of a linear time-varying sub-model plus a Radial Basis Function (RBF) neural-network based learning sub-model . The proposed non-linear multiple-controller methodology provides the designer (through simple switching) with a
Abstract: A novel intelligent multiple-controller framework incorporating a fuzzy-logic based swi... more Abstract: A novel intelligent multiple-controller framework incorporating a fuzzy-logic based switching supervisor is presented for adaptive control of non-linear systems. The proposed methodology provides the designer with an automated choice of using either: a ...
Abstract In this paper a new multi-variable adaptive controller algorithm for non-linear dynamica... more Abstract In this paper a new multi-variable adaptive controller algorithm for non-linear dynamical systems has been derived which employs the radial basis function (RBF) neural network. In the proposed controller, the unknown plant is represented by an equivalent ...
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