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Introduction

  • Jing Zhou
  • Changyun Wen
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 372)

Contents

There have been great efforts to develop high performance control schemes for unknown plants subject to uncertainties. Adaptive control has been proved to be one of the most promising techniques which can be applied to control a wide variety of systems and processes. Adaptive control theory attempts to improve the behavior or performance of physical systems by gathering and exploiting knowledge about the system’s operation. Usually this knowledge is encoded as a descriptive mathematical model of the physical plant from which the controller design is derived. Given a mathematical representation, we are interested in designing an adaptive controller to achieve objectives such as stability (convergence of state), output tracking of some reference signals, and transient performance.

Keywords

Adaptive Control Output Feedback Adaptive Controller Interconnected System Adaptive Backstepping 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Jing Zhou
    • 1
  • Changyun Wen
    • 2
  1. 1.Norwegian University of Science and Technology, TrondheimNorway
  2. 2.Nanyang Technological UniversitySingapore

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