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Model predictive control: output feedback and tracking of nonlinear systems

MAGNI, LALO;DE NICOLAO, GIUSEPPE;SCATTOLINI, RICCARDO
2001-01-01
2001
Advances in Nonlinear Model Predictive Control
Eds. B.Kouvaritakis and M. Cannon
The AI, Robotics & Automatic Control category is concerned with resources on the research and techniques of artificial intelligence; that is, the creation of machines that exhibit characteristics of human intelligence (e.g., efficient representation of knowledge, reasoning, deduction, problem solving, heuristics, and analysis of contradictory or ambiguous information). Related AI technologies include expert systems, fuzzy systems, natural language processing, speech and pattern recognition, computer vision, decision-support systems, knowledge-bases, and neural networks. Robotics resources are concerned with the design, construction, and operation of robots. Automatic Control resources cover the design and development of regulating processes and systems that replace the necessity of human intervention. Topics include adaptive control, robust control, discrete-event control, dynamic control, fuzzy control, and optimal control. Cybernetics resources are concerned with the control and communication within and between artificial (machine) systems and living or natural systems.
Inglese
Internazionale
STAMPA
61
80
IEE Books
REGNO UNITO DI GRAN BRETAGNA
Tematica Ex SIR: Controllo non lineare (Classif. Ex SIR:Capitoli di libro Estero ) IEE Books
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
3
268
none
Magni, Lalo; DE NICOLAO, Giuseppe; Scattolini, Riccardo
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/8583
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