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Titlebook: Nonlinear Model Predictive Control; Frank Allgöwer,Alex Zheng Conference proceedings 2000 Springer Basel AG 2000 Differentialgleichungen.S

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Stability and Robustness of Nonlinear Receding Horizon Controllar, the following algorithms with guaranteed closed-loop stability of the equilibrium are considered: the zero-state terminal constraint, the dual-mode . controller, the infinite-horizon closed-loop costing, the quasi-infinite method, and the contractive constraint. For each algorithm, we analyse a
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Nonlinear Model Predictive Control:Challenges and Opportunities the preferred method of control in several application areas; a major motivation for its use is the presence of hard constraints on controls and states that are difficult to handle by other methods. Theoretical understanding has progressed and, while there remain open problems, notably in estimatio
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Nonlinear Moving Horizon State Estimationestigate strategies to guarantee the stability of moving horizon estimation (MHE). We begin our discussion by analyzing the stability of the abstract MHE problem. Sufficient conditions for asymptotic stability are established. Using forward dynamic programming to analyze MHE, we introduce the fundam
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Stability, Feasibility, Optimality and the Degrees of Freedom in Constrained Predictive Controltween some key predicted input trajectories. Such interpolation endows the closed-loop system with desirable attributes even when a small number of degrees of freedom is used. This paper explores the ideas behind interpolation and extends them to the case of predictive control of nonlinear systems b
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