This textbook on the differential geometric approach to nonlinear control grew out of a set of
lecture notes, which were prepared for a course on nonlinear system theory, given by us for …

Table I. Common Process Characteristics multivariable interactions between manipulated
and controlled variables unmeasured state variables unmeasured and frequent …

Recent, reasearches on application of nonconventional digital controllers are surveyed,
Here, nonconventional digital controllers mean digital controllers equipped with general …

The feasibility of applying neural network learning techniques in problems of system identi
cation and control has been demonstrated through several empirical studies. These studies …

This paper presents a geometric study of controllability for discrete-time nonlinear systems.
Various accessibility properties are characterized in terms of Lie algebras of vector fields …

We study the problem of identification for nonlinear systems in the presence of unknown
driving noise, using both feedforward multilayer neural network and radial basis function …

Given a continuous-time controller and a Lyapunov function that shows global asymptotic
stability for the closed-loop system, we provide several results for modification of the …

This chapter provides some of the main ideas resulting from recent developments in
sampled-data control of nonlinear systems. We have tried to bring the basic parts of the new …

Models for deterministic continuous-time nonlinear systems typically take the form of
ordinary differential equations. To utilize these models in practice invariably requires …

The purpose of this work is to show the real need to motivate theoretical research in
nonlinear digital control not only for solving control problems which are specific to the …