… If neural network controllers are to be used in the control of dynamic systems, they must
be evaluated against controllers that are designed using conventional control theory. A self-…

… control theory. Part II discusses neural network learning with regard to motion planning and
… in the application of neural network learning to planning and control for dynamical systems. …

… This book is dedicated to my teachers, Russian classics in the field of control theory and
theory of discrete and adaptive systems: Vladimir V Solodovnikov, Lev T. Kuzin, and Yakov Z. …

… has been tackled from the viewpoint of optimal control theory, in this Chapter we take the
viewpoint of modern (robust) control theory. A model based framework with nonlinear state …

… and research, neural network-based controllers … of the theoretical principles involved. In
this paper we review the current status of control practice using neural networks and the theory …

… is to provide a quick overview of neural networks and to explain how they can be used in
control systems. We introduce the multilayer perceptron neural network and describe how it can …

… in adaptive control theory will have … theoretical properties such as controllability, observability,
and (most important of all) stability of dynamical systems with multilayer neural networks …

… to neural networks and their application in control systems. The field of neural networks
covers a … The method of [SaS1921 uses Lyapunov stability theory in the design of the network …

… significant theoretical work on stability, convergence and robustness for the use of neural
networks in control … background in control theory, as well as with stability and robustness con- …

… by comparison with control theory, especially with the adaptive control theory. If we succeed
in achieving an interface between the NN control and the adaptive control theory, the results …