This article provides a historical perspective of the field of adaptive control over the past
seven decades and its intersection with learning. A chronology of key events over this large …

This article provides an exposition of the field of adaptive control and its intersections with
reinforcement learning. Adaptive control and reinforcement learning are two different …

Adaptive control is a control methodology capable of dealing with uncertain systems to
ensure desired control performance. This paper provides an overview of some fundamental …

The problem of reduced order adaptive control, that is adaptive control with unmodeled
parasitics, is more difficult than that for identifiers and observers in Chapter 2. The difficulty is …

The design of nonlinear controllers for mechanical systems has been an ex tremely active
area of research in the last two decades. From a theoretical point of view, this attention can …

In this book a number of ideas and results related to the? eld of cybern-ical physics–the
scienti? c area aimed at the study of physical systems by cybernetical means–are presented …

In this paper, the dynamics of bicycles is analyzed from the perspective of control. Models of
different complexity are presented, starting with simple ones and ending with more realistic …

Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and
technology. For example, adaptive couplings appear in various real-world systems, such as …

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This paper deals with adaptive control of a class of nonlinear dynamic systems with
nonlinear parametrization. In this class, the state variables are assumed to be accessible …