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2003 | Buch

Switching in Systems and Control

verfasst von: Daniel Liberzon

Verlag: Birkhäuser Boston

Buchreihe : Systems & Control: Foundations & Applications

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Über dieses Buch

l\lany systems encountered in practice involve a coupling between contin­ uous dynamics and discrete events. Systems in which these two kinds of dynamics coexist and interact are usually called hybrid. For example, the following phenomena give rise to hybrid behavior: a valve or a power switch opening and closing; a thermostat turning the heat on and off; biological cells growing and dividing; a server switching between buffers in a queueing network; aircraft entering, crossing, and leaving an air traffic control region; dynamics of a car changing abruptly due to wheels locking and unlocking on ice. Hybrid systems constitute a relatively new and very active area of current research. They present interesting theoretical challenges and are important in many real-world problems. Due to its inherently interdisci­ plinary nature, the field has attracted the attention of people with diverse backgrounds, primarily computer scientists, applied mathematicians, and engineers. Researchers with a background and interest in continuous-time systems and control theory are concerned primarily with properties of the contin­ uous dynamics, such as Lyapunov stability. A detailed investigation of the discrete behavior, on the other hand, is usually not a goal in itself. In fact, rather than dealing with specifics of the discrete dynamics, it is often use­ ful to describe and analyze a more general category of systems which is known to contain a particular model of interest.

Inhaltsverzeichnis

Frontmatter

Introduction

Frontmatter
1. Basic Concepts
Abstract
Dynamical systems that are described by an interaction between continuous and discrete dynamics are usually called hybrid systems.
Daniel Liberzon

Stability of Switched Systems

Frontmatter
2. Stability under Arbitrary Switching
Abstract
Given a family of systems (1.1), we want to study the following question: when is the switched system (1.3) asymptotically stable for every switching signal σ? We are assuming here that the individual subsystems have the origin as a common equilibrium point.
Daniel Liberzon
3. Stability under Constrained Switching
Abstract
We begin this chapter by describing a useful tool for proving stability of switched systems, which relies on multiple Lyapunov functions usually one or more for each of the individual subsystems being switched.
Daniel Liberzon

Switching Control

Frontmatter
4. Systems Not Stabilizable by Continuous Feedback
Abstract
Some systems cannot be globally asymptotically stabilized by smooth (or even continuous) feedback. This is not simply a lack of controllability. It might happen that, while every state can be steered to the origin by some control law, these control laws cannot be patched together in a continuous fashion to yield a globally defined stabilizing feedback. In this section we discuss how this situation can occur.
Daniel Liberzon
5. Systems with Sensor or Actuator Constraints
Abstract
It is well known that switching control laws arise in time-optimal control of systems with controls taking values in bounded sets. For such systems, time-optimal control laws switch between boundary points of the admissible control set (hence the name “bang-bang controls”).
Daniel Liberzon
6. Systems with Large Modeling Uncertainty
Abstract
This chapter is devoted to control problems for uncertain systems. Modeling uncertainty is typically divided into structured uncertainty (unknown parameters ranging over a known set) and unstructured uncertainty (un-modeled dynamics). When we say that the uncertainty is “large,” we usually refer to the structured uncertainty. Informally, this means that the parametric uncertainty set is so large that robust control design tools are inapplicable and thus an adaptive control approach is required. It is probably impossible to formally distinguish between an adaptive control law and a nonadaptive dynamic control law. However, one can in principle draw such a distinction if one knows how the control law in question was designed. To this end, the following circular “definition” is sometimes given: a control law is adaptive if it involves adaptation.
Daniel Liberzon
Backmatter
Metadaten
Titel
Switching in Systems and Control
verfasst von
Daniel Liberzon
Copyright-Jahr
2003
Verlag
Birkhäuser Boston
Electronic ISBN
978-1-4612-0017-8
Print ISBN
978-1-4612-6574-0
DOI
https://doi.org/10.1007/978-1-4612-0017-8