Abstract
An internally stable Algorithmic Internal Model Control (AIMC) strategy which uses linear or nonlinear model state feedback is proposed for unstable systems. The closed loop responses are those that would be obtained from a two degree of freedom IMC control system, if it were stable. Results of several simulations demonstrate the validity of the approach.
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Berber, R., Brosilow, C. (1998). Internally Stable Linear and Nonlinear Algorithmic Internal Model Control of Unstable Systems. In: Berber, R., Kravaris, C. (eds) Nonlinear Model Based Process Control. NATO ASI Series, vol 353. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5094-1_8
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DOI: https://doi.org/10.1007/978-94-011-5094-1_8
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