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Titlebook: Nonlinear Predictive Control Using Wiener Models; Computationally Effi Maciej Ławryńczuk Book 2022 The Editor(s) (if applicable) and The Au

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MPC of State-Space Benchmark Wiener Processesond one has as many as ten inputs and two outputs. Efficiency of different methods allowing for offset-free control is considered. All algorithms are compared in terms of control quality and computational time.
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MPC Algorithms Using State-Space Wiener Modelsmes. All MPC algorithms are presented without and with parameterisation using Laguerre functions. The classical and an original, very efficient prediction method, which lead to offset-free control, are presented. Finally, state estimation methods for MPC are shortly mentioned.
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2198-4182 discussed MPC algorithms lead to excellent control quality. For a neutralisation reactor and a fuel cell, essential advantages ofneural Wiener models are demonstrated..978-3-030-83817-1978-3-030-83815-7Series ISSN 2198-4182 Series E-ISSN 2198-4190
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y advocates for more effective and efficient uses for available funds and resources while offering workable proposals for service improvements at the policy level. . .Key areas of coverage:. .The impact of care978-1-4939-4372-2978-1-4614-8791-3Series ISSN 2192-340X Series E-ISSN 2192-3418
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Maciej Ławryńczukre and aim to survive within contested and marginalized space. The competition between dominant and nondominant cultures is not only for limited resources, but also for a claim to right personhood—to the ability to view the world through a different cultural lens without being labeled ..
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