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4
Conference

Superior Title: 114 ; Real-Time and Embedded Systems Lab (mLAB) ; published

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Relation: Francesco Smarra, Achin Jain, Rahul Mangharam and Alessandro D'Innocenzo. Data-Driven Switched Affine Modeling for Model Predictive Control. In Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018.; https://upenn-prod.atmire.com/handle/20.500.14332/40614

7
Academic Journal

Superior Title: 1252 ; 1272 ; 115 ; Real-Time and Embedded Systems Lab (mLAB) ; Applied Energy ; true ; published ; 226

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Relation: Francesco Smarra, Achin Jain, Tullio de Rubeis, Dario Ambrosini, Alessandro D’Innocenzo and Rahul Mangharam. Data-driven model predictive control using random forests for building energy optimization and climate control. Applied Energy, 2018.; https://upenn-prod.atmire.com/handle/20.500.14332/40615

8
Report

Superior Title: 848 ; Departmental Papers (ESE) ; published

File Description: flash_audio; application/pdf

Relation: Two examples of the fundamental construction motivating this paper: the dual cubing---or model space---of an abstract "system of implications", P. Here, both instances of P encode different implication relations among three binary queries a,b,c and their complements. P is depicted as a Hasse diagram (left). Starting with the full Hamming cube (faces of all dimensions included), remove any vertices contradicting an implication in P, and all incident faces. The resulting complex, cube(P), may serve as a model for *any* space where the relations in P are satisfied (center). The middle hyper-planes of the full Hamming cube restrict to separating hyper-planes of the resulting cubical complex, whose complementary components satisfy the same relations as those in P (right). The comparison of the top row with the bottom illustrates the dimensional reduction resulting from introducing more implications into P.; https://upenn-prod.atmire.com/handle/20.500.14332/34093