A stabilizing model-based predictive control algorithm for nonlinear systems
By P. Magni, Giuseppe De Nicolao, L. Magnani, Riccardo Scattolini. at - Automatisierungstechnik, 2001
372 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/cd544ad9c0a8de366e226180b933269277ee3c3d
How researchers see this paper
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In Control and Systems Engineering
- Prashant Mhaskar
- Panagiotis D. Christofides
- N. El‐Farra
- David Q. Mayne
- Frank Allgöwer
- Riccardo Scattolini
- Rolf Findeisen
- Lars Struen Imsland
Citations in the corpus
- Gain‐scheduling MPC of nonlinear systems (2003, methodology): “In particular, there exist several receding-horizon control schemes [2]-[7] which successfully address the issues of stability, constraint satisfaction and performance optimization for nonlinear systems.”
- Robust MPC of constrained nonlinear systems based on interval arithmetic (2005, methodology): “The nominal operating conditions are given by[23]: q = 100 l/min, Tf = 350 K,V = 100 l, CA f = 1.”
- An Introduction to Nonlinear Model Predictive Control (2002, methodology): “In [18, 19, 44 ] robust NMPC schemes using a min-max formulation are proposed, while in [27] an extension to index one DAE systems is considered.”
- Hybrid predictive control of nonlinear systems: method and applications to chemical processes (2004, background): “see References [2–8]) that focus on the issues of stability, constraint satisfaction and performance optimization for nonlinear systems.”
- Review on model predictive control: an engineering perspective (2021, background): “For a more complete discussion and mathematical foundation regarding stability, the authors refer to [3, 72, 77, 98] and [31, 81, 87].”
- Asynchronous fault detection filter design approach for discrete‐time switched linear systems (2014, background): “These nominal values of the parameters are described in [29], and we choose the nominal operating conditions corresponding to an unstable equilibrium point as T C D 300K, C A D 0.”
- State and Output Feedback Nonlinear Model Predictive Control: An Overview (2003, background): “[ 60 ]), we assume in the following that Tc = Tp for our presentation.”
- Cooperative Constrained Control of Distributed Agents With Nonlinear Dynamics and Delayed Information Exchange: A Stabilizing Receding-Horizon Approach (2008, methodology): “In this paper, we state the RH control problem according to [31] (see also the well-known survey paper [18]).”