Titlebook: Control of Nonlinear and Hybrid Process Systems; Designs for Uncertai Panagiotis Christofides,Nael El-Farra Book 2005 Springer-Verlag Berli

anatomical

Experimentelle Erprobung von Ventilatoren,purpose is to provide the reader with the necessary background for the results presented throughout subsequent chapters. Since most of the results given in this chapter are standard in the nonlinear systems and control literature, they are given here without proofs. For detailed proofs, the reader is referred to the classic books [126, 148].

和音

Experimentelle Erprobung von Ventilatoren,d with respect to material and energy flows, constrained ever more tightly by high quality product specifications, and subject to increasingly strict safety and environmental regulations. These more stringent operating conditions have placed new constraints on the operating flexibility of chemical p

Tortuous

Experimentelle Erprobung von Ventilatoren,purpose is to provide the reader with the necessary background for the results presented throughout subsequent chapters. Since most of the results given in this chapter are standard in the nonlinear systems and control literature, they are given here without proofs. For detailed proofs, the reader i

猛然一拉

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Delirium

https://doi.org/10.1007/978-3-662-10761-4 inputs and state variables) within an optimal control setting [231]. In MPC, the control action is obtained by solving repeatedly, on–line, a finite–horizon constrained open–loop optimal control problem. The popularity of this approach stems largely from its ability to handle, among other issues, m

啜泣

https://doi.org/10.1007/978-3-662-10761-4s in terms of providing a safety net for the practical implementation of MPC. In this chapter, we focus on nonlinear systems, with and without uncertainty, and show how the hybrid predictive control strategy can be extended in several directions to address the constrained stabilization problem for t

Flatter

Egon Stahl,Karl-Werner Quirin,Dieter Gerardose dynamics are both constrained and uncertain are considered. These are systems that consist of a finite family of continuous uncertain nonlinear dynamical subsystems, subject to hard constraints on their manipulated inputs, together with a higher–level supervisor that governs the transitions betw

arcane

https://doi.org/10.1007/978-3-662-10763-8 safety and reliability of chemical plants in ways that reduce their vulnerability to serious failures. Increasingly faced with the requirements of operational flexibility under tight performance specifications and other economic drivers, plant operation is relying extensively on highly automated pr

verdict

https://doi.org/10.1007/978-3-662-10765-2linear differential difference equation (DDE) systems. Nonlinearities usually arise from complex reaction mechanisms and Arrhenius dependence of reaction rates on temperature, while time delays often occur due to transportation lag such as in flow through pipes, dead times associated with measuremen