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Titlebook: Adaptive Control of Solar Energy Collector Systems; João M. Lemos,Rui Neves-Silva,José M. Igreja Book 2014 Springer International Publishi

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Chair’s Perspective: Diversity of , controller is connected to the plant, it remains so for at least a minimum time interval. The application of this multiple model adaptive control (MMAC) strategy is illustrated by its experimental application to an air heating fan and a distributed collector solar field.
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M. Fegan,M. Taghavi,L. I. Sly,A. C. HaywardIC-state that embody this approach are described. Experimental results with a distributed collector solar field, that show the influence of the choice of the optimization horizon of the quadratic cost on the resulting performance, are described. The method described in this chapter allows to perform
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M. Fegan,G. Holoway,A. C. Hayward,J. Timmisv function is then used to modify this control law so as to incorporate adaptation capabilities through the adjustment of a parameter. In this chapter, the motion planning problem is also solved for a moisture control system.
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R. Black,Zakia Abubakar,S. Seal,N. Phiriptive control algorithms addressed in this book may also be envisaged as basic building blocks of wider, distributed, systems, in the context of a Cyber-Physical Systems Approach. Finally, the boundary conditions of the book are established by remembering important related topics that are outside th
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Multiple Model Adaptive Control,schieden, Vorlieben und kulturellen Hintergründen gegenüber. Die Neuauflage wurde aktualisiert und mit Inhalten zu COVID 19 und einer neuen Sektion zu gesundheitlichen Belastungen durch Musik erweitert..Ärzt*in978-3-662-67506-9
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https://doi.org/10.1007/978-3-319-06853-4Adaptive Control; Distributed Parameter Systems; Renewable Energy; Solar Energy; Solar Energy Collector
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978-3-319-38015-5Springer International Publishing Switzerland 2014
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A. K. Raymundo,Y. Aves-ILagan,T. P. Dennypulated variable, a quadratic cost is minimized in a receding horizon sense. The fact that hard inequality constraints are not imposed, allows to express the control law in closed form, either as a feedback from a nonminimum plant state made of input/output samples or a discrete transfer function. T
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