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Saini RST, Pappas I, Avraamidou S, Ganesh HS. Noncooperative Distributed Model Predictive Control: A Multiparametric Programming Approach. Ind Eng Chem Res 2023. [DOI: 10.1021/acs.iecr.2c03057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Radhe S. T. Saini
- Discipline of Chemical Engineering, Indian Institute of Technology Gandhinagar, Gujarat382055, India
| | - Iosif Pappas
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas77843, United States
| | - Styliani Avraamidou
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin53706, United States
| | - Hari S. Ganesh
- Discipline of Chemical Engineering, Indian Institute of Technology Gandhinagar, Gujarat382055, India
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A Review of Model Predictive Controls Applied to Advanced Driver-Assistance Systems. ENERGIES 2021. [DOI: 10.3390/en14237974] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in the automotive field, as enablers for vehicle energy consumption, safety, and comfort enhancement. Compelling evidence is in fact provided by the variety of related studies that are to be found in the literature. Moreover, considering the actual technology readiness, larger opportunities might stem from the combination of ADASs and vehicle connectivity. Nevertheless, the definition of a suitable control system is not often trivial, especially when dealing with multiple-objective problems and dynamics complexity. In this scenario, even though diverse strategies are possible (e.g., Equivalent Consumption Minimization Strategy, Rule-based strategy, etc.), the Model Predictive Control (MPC) turned out to be among the most effective ones in fulfilling the aforementioned tasks. Hence, the proposed study is meant to produce a comprehensive review of MPCs applied to scenarios where ADASs are exploited and aims at providing the guidelines to select the appropriate strategy. More precisely, particular attention is paid to the prediction phase, the objective function formulation and the constraints. Subsequently, the interest is shifted to the combination of ADASs and vehicle connectivity to assess for how such information is handled by the MPC. The main results from the literature are presented and discussed, along with the integration of MPC in the optimal management of higher level connection and automation. Current gaps and challenges are addressed to, so as to possibly provide hints on future developments.
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Rafiei M, Ricardez-Sandoval LA. Integration of design and control for industrial-scale applications under uncertainty: a trust region approach. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Merkert L, Castro PM. Optimal Scheduling of a District Heat System with a Combined Heat and Power Plant Considering Pipeline Dynamics. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.9b06971] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Lennart Merkert
- ABB Power Grids Germany AG, Kallstadter Str. 1, 68309 Mannheim, Germany
| | - Pedro M. Castro
- Centro de Matemática Aplicações Fundamentais e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
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Rafiei M, Ricardez-Sandoval LA. New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2019.106610] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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Gu S, Liu L, Zhang L, Bai Y, Du J. Optimization-Based Framework for Designing Dynamic Flexible Heat Exchanger Networks. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b04121] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Siwen Gu
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning China
| | - Linlin Liu
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning China
| | - Lei Zhang
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning China
| | - Yiyuan Bai
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning China
| | - Jian Du
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning China
- State Key Laboratory of Fine Chemicals, Dalian University of Technology, Dalian, 116024, Liaoning China
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Diangelakis NA, Pistikopoulos EN. A multi-scale energy systems engineering approach to residential combined heat and power systems. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2016.10.015] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Diangelakis NA, Burnak B, Katz J, Pistikopoulos EN. Process design and control optimization: A simultaneous approach by multi-parametric programming. AIChE J 2017. [DOI: 10.1002/aic.15825] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Nikolaos A. Diangelakis
- Centre for Process Systems Engineering, Dept. of Chemical Engineering; Imperial College London; London SW7 2AZ U.K
- Artie McFerrin Dept. of Chemical Engineering; Texas A&M University; College Station TX 77845
- Texas A&M Energy Institute; Texas A&M University; College Station TX 77845
| | - Baris Burnak
- Artie McFerrin Dept. of Chemical Engineering; Texas A&M University; College Station TX 77845
- Texas A&M Energy Institute; Texas A&M University; College Station TX 77845
| | - Justin Katz
- Artie McFerrin Dept. of Chemical Engineering; Texas A&M University; College Station TX 77845
- Texas A&M Energy Institute; Texas A&M University; College Station TX 77845
| | - Efstratios N. Pistikopoulos
- Artie McFerrin Dept. of Chemical Engineering; Texas A&M University; College Station TX 77845
- Texas A&M Energy Institute; Texas A&M University; College Station TX 77845
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Oberdieck R, Diangelakis NA, Nascu I, Papathanasiou MM, Sun M, Avraamidou S, Pistikopoulos EN. On multi-parametric programming and its applications in process systems engineering. Chem Eng Res Des 2016. [DOI: 10.1016/j.cherd.2016.09.034] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Huang Y, Edgar TF. Preface for the Special Issue on Sustainable Chemical Manufacturing. Ind Eng Chem Res 2016. [DOI: 10.1021/acs.iecr.6b01040] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yinlun Huang
- Wayne State University, Detroit, Michigan, United States
| | - Thomas F. Edgar
- The University of Texas at Austin, Austin, Texas, United States
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