Abstract
When the process parameters of a controlled process either are poorly known or vary during operation, the use of adaptive control technique is generally necessary to obtain a high-performance control system. Many solutions have been proposed in order to make control systems adaptive. One of those solutions, model-reference adaptive system, evolved in the late 50s. The main innovation of this system is the presence of a reference model which specifies the desired dynamics of the closed-loop system. The reference model can also be implicitly included in the closed-loop system as a cancellation principle. The cancellation principle of model-reference control has been used to develop a fuzzy adaptive system.
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© 1997 Springer Science+Business Media Dordrecht
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Škrjanc, I., Matko, D. (1997). Fuzzy Adaptive Control Versus Model Reference Adaptive Control of Mutable Processes. In: Tzafestas, S.G. (eds) Methods and Applications of Intelligent Control. Microprocessor-Based and Intelligent Systems Engineering, vol 16. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5498-7_7
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DOI: https://doi.org/10.1007/978-94-011-5498-7_7
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