Adaptive Control Systems (A Short Review)

  • Rolf Isermann


The implementation of structure optimal and precisely adjusted control algorithms presupposes the knowledge of dynamic process models. For stochastic control systems signal models have to be known additionally. Since both process models and signal models can be obtained through identification- and parameter estimation methods using digital computers, a combination with controller design methods is appropriate. If the single problems are to be solved on-line, in real-time and in closed loop, this then leads to selftuning and adaptive control systems.


Adaptive Control Reference Model Adaptive Controller Controller Parameter Adaptive Control System 
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 1991

Authors and Affiliations

  • Rolf Isermann
    • 1
  1. 1.Technische Hochschule DarmstadtInstitut für RegelungstechnikDarmstadtWest Germany

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