Now showing items 1-6 of 6
Intelligent optimal control with dynamic neural networks
The application of neural networks technology to dynamic system control has been constrained by the non-dynamic nature of popular network architectures. Many of difficulties are-large network sizes (i.e. curse of ...
Generalized modeling principles of a nonlinear system with a dynamic fuzzy network
Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)-a network with unconstrained connectivity and with dynamic fuzzy processing units called 'feurons', have been given. DFN model has ...
Trajectory priming with dynamic fuzzy networks in nonlinear optimal control
Fuzzy logic systems have been recognized as a robust and attractive alternative to some classical control methods. The application of classical fuzzy logic (FL) technology to dynamic system control has been constrained by ...
Modified descend curvature based fixed form fuzzy optimal control of nonlinear dynamical systems
In this study, a fuzzy rule-based optimal controller is designed for nonlinear dynamical systems. The direct second order method (or direct-descend-curvature algorithm) with a modification called "modified descend controller ...
Direct descent curvature optimal control with a modification algorithm and its application to nonlinear process
This paper presents a direct descent second order or direct descent curvature algorithm with some modifications for the optimal control computations. This algorithm is compared with Hamiltonian methods in the literature. ...
Phase portrait modeling of a nonlinear system with a dynamic fuzzy network
Fuzzy logic and neural networks are two important technologies for modeling and control of dynamical systems and have been constrained by the non-dynamical nature of their some popular architectures. There exist problems ...