Abstract
In many industrial and process control applications, the use of high-performance control systems is very desirable. Usually the plant parameters are poorly known or vary during normal operation, and this must be taken into consideration when designing and implementing feedback controllers. The problem of self-adjusting the parameters of a controller in order to stabilize the dynamic characteristics of a feedback control system when the plant parameters undergo large and unpredictable variations, has led to the development of adaptive control techniques [1–6]. Many solutions have been proposed over the past two decades in order to make a control system “adaptive” (that is, to assure high performance when large and unpredictable variations of the plant dynamic characteristics take place). In some sense, the problem can be viewed as “combined identification and control” of a particular system configuration.
Keywords
- Multivariable System
- Pole Assignment
- Adaptive Control System
- Model Reference Adaptive Control
- Adjustable 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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Mahmoud, M.S., Singh, M.G. (1984). Adaptive Control Systems. In: Discrete Systems. Communications and Control Engineering Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82327-5_7
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DOI: https://doi.org/10.1007/978-3-642-82327-5_7
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