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System identification

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The article was published on 1988-01-01 and is currently open access. It has received 5375 citations till now. The article focuses on the topics: System identification.

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Model predictive control of an activated sludge process: A case study

TL;DR: In this paper, a case study application of model predictive control for a wastewater treatment process in Lancaster, North England was described, where the control system was implemented in real time, together with a plant monitoring system for the purposes of process supervision.
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Optimizing drug regimens in cancer chemotherapy by an efficacy—toxicity mathematical model

TL;DR: A mathematical model describing the pharmacokinetics of anticancer drugs, antitumor efficacy, and drug toxicity was used to optimize treatment and provided for greater cytoreduction, while limiting the risk of unacceptable toxicity.
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The asymptotic variance of subspace estimates

TL;DR: In this paper, the covariance of the estimated system parameters (A,B,C,D) in subspace identification has been studied for a whole class of subspace methods including N4SID, MOESP, CVA, etc.

Integration of model predictive control and optimization of processes

TL;DR: A motivation is given on how new technologies in the area of model predictive control and dynamic process optimization can contribute to improve business performance of the chemical processing industries in the changed markets.
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Recursive identification for Wiener model with discontinuous piece-wise linear function

TL;DR: Recursive estimation algorithms are proposed to estimate six unknown parameters contained in the nonlinearity and all unknown coefficients of the linear subsystem by using the iid Gaussian inputs and are proved to converge to the corresponding true values with probability one.