Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550103
A. Cavallo, Giacomo Canciello, A. Russo
A control strategy is proposed for energy management onboard the innovative More Electric Aircraft (MEA) concept. The objective is to reduce generator sizing (and weight onboard) by using battery packs as extra-energy sources. The flow of energy is regulated by a Buck-Boost Converter Unit (BBCU), suitably driven. The controller is composed of a two-layers architecture, where the bottom layer is devoted to current-tracking purposes, while the upper level takes care of the safe switching between the different control objectives. Rigorous stability tools are presented for both controllers, based on the Theory of Sliding Mode Control and of Common Lyapunov Functions. Detailed simulation with switching power electronic components show the effectiveness of the proposed approach.
{"title":"Supervised Energy Management in Advanced Aircraft Applications","authors":"A. Cavallo, Giacomo Canciello, A. Russo","doi":"10.23919/ECC.2018.8550103","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550103","url":null,"abstract":"A control strategy is proposed for energy management onboard the innovative More Electric Aircraft (MEA) concept. The objective is to reduce generator sizing (and weight onboard) by using battery packs as extra-energy sources. The flow of energy is regulated by a Buck-Boost Converter Unit (BBCU), suitably driven. The controller is composed of a two-layers architecture, where the bottom layer is devoted to current-tracking purposes, while the upper level takes care of the safe switching between the different control objectives. Rigorous stability tools are presented for both controllers, based on the Theory of Sliding Mode Control and of Common Lyapunov Functions. Detailed simulation with switching power electronic components show the effectiveness of the proposed approach.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132315726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550404
Andrea Pozzi, Marcello Torchio, D. Raimondo
Safety, fast charging and aging are among the most important issues when dealing with high power battery packs in electric and hybrid vehicles. Today’s charging strategies are designed to guarantee safe operation in a conservative way, but are far from being optimal in terms of aging reduction and time charging minimization. For this reason, the interest of the research is focused on developing model-based battery management systems. Comparing standard charging strategies with health-aware optimization-based ones is difficult since they usually provide different charging times: are we willing to charge the battery in more time if this comes with an aging reduction? When a customer is faced with such a question, the answer is not so trivial. For this reason, in this paper we provide health-aware Pseudo Two Dimensional model-based strategies with the same charging time of standard CC-Cv protocols. The results show that significant aging improvements can be obtained, even by constraining the charging time to be the same as the CC-Cv protocol.
{"title":"Film growth minimization in a Li-ion cell: a Pseudo Two Dimensional model-based optimal charging approach","authors":"Andrea Pozzi, Marcello Torchio, D. Raimondo","doi":"10.23919/ECC.2018.8550404","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550404","url":null,"abstract":"Safety, fast charging and aging are among the most important issues when dealing with high power battery packs in electric and hybrid vehicles. Today’s charging strategies are designed to guarantee safe operation in a conservative way, but are far from being optimal in terms of aging reduction and time charging minimization. For this reason, the interest of the research is focused on developing model-based battery management systems. Comparing standard charging strategies with health-aware optimization-based ones is difficult since they usually provide different charging times: are we willing to charge the battery in more time if this comes with an aging reduction? When a customer is faced with such a question, the answer is not so trivial. For this reason, in this paper we provide health-aware Pseudo Two Dimensional model-based strategies with the same charging time of standard CC-Cv protocols. The results show that significant aging improvements can be obtained, even by constraining the charging time to be the same as the CC-Cv protocol.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127945019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550491
Ghassen Marouani, T. N. Dinh, T. Raïssi, H. Messaoud
The main goal of this paper is to present a methodology to design interval observers for discrete-time linear switched systems affected by disturbances and measurement noises which are considered bounded but unknown. The steps to design these observers are detailed. Furthermore, to relax some restrictive conditions, a change of coordinates is recommended. Keywords: Interval observer, discrete-time, linear systems, switched systems, LMI.
{"title":"Interval observers design for discrete-time linear switched systems","authors":"Ghassen Marouani, T. N. Dinh, T. Raïssi, H. Messaoud","doi":"10.23919/ECC.2018.8550491","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550491","url":null,"abstract":"The main goal of this paper is to present a methodology to design interval observers for discrete-time linear switched systems affected by disturbances and measurement noises which are considered bounded but unknown. The steps to design these observers are detailed. Furthermore, to relax some restrictive conditions, a change of coordinates is recommended. Keywords: Interval observer, discrete-time, linear systems, switched systems, LMI.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125409262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550452
B. Sulikowski
Spatially interconnected systems are the special case of 2D systems, since there exist 2 independent variables in the model. In the paper RLC ladder circuit uncertain model is taken as a particular case of such systems. Due to the model structure and uncertainties solving problems of stability testing and stabilization for such models requires developing its own, 2D based, approach. Hence on, a short introduction into 2D system theory is provided, then a methodology towards stability analysis and stabilizing controller design with the application of Linear Matrix Inequalities (LMI) techniques are presented. The main results of this paper is providing the solution for problems of the robust control and $H_{2}$ robust control of ladder circuits in terms of LMIs.
{"title":"Robust H2 control of ladder circuits modeled as a subclass of 2D systems","authors":"B. Sulikowski","doi":"10.23919/ECC.2018.8550452","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550452","url":null,"abstract":"Spatially interconnected systems are the special case of 2D systems, since there exist 2 independent variables in the model. In the paper RLC ladder circuit uncertain model is taken as a particular case of such systems. Due to the model structure and uncertainties solving problems of stability testing and stabilization for such models requires developing its own, 2D based, approach. Hence on, a short introduction into 2D system theory is provided, then a methodology towards stability analysis and stabilizing controller design with the application of Linear Matrix Inequalities (LMI) techniques are presented. The main results of this paper is providing the solution for problems of the robust control and $H_{2}$ robust control of ladder circuits in terms of LMIs.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126640092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550559
A. Forootani, M. Tipaldi, D. Liuzza, L. Glielmo
The problem of managing the price for resource allocation arises in several applications, such as purchasing plane tickets, reserving a parking slot, booking a hotel room or renting SW/HW resources on a cloud. In this paper, we model a price management resource allocation problem with parallel Birth-Death stochastic Processes (BDPs) to account for the fact that the same resource can be possibly purchased by customers at different prices. In addition, customers can hold the resource at the purchase price to the necessary extent. The maximization of the revenue in both the finite and infinite time horizon cases is addressed in this paper with Stochastic Dynamic Programming (DP) approaches. To overcome the difficulty in solving the corresponding optimization problem due to the state space explosion, Approximate Dynamic Programming (ADP) techniques (in particular, the Least Square Temporal Difference method along with Monte Carlo simulations) are adopted. Furthermore, a MATLAB Toolbox is developed with the aim of solving stochastic DP/ADP problems and supporting probabilistic analysis. Extensive simulations are performed to show the effectiveness of the proposed model and the optimization approach.
{"title":"Price Management in Resource Allocation Problem with Approximate Dynamic Programming","authors":"A. Forootani, M. Tipaldi, D. Liuzza, L. Glielmo","doi":"10.23919/ECC.2018.8550559","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550559","url":null,"abstract":"The problem of managing the price for resource allocation arises in several applications, such as purchasing plane tickets, reserving a parking slot, booking a hotel room or renting SW/HW resources on a cloud. In this paper, we model a price management resource allocation problem with parallel Birth-Death stochastic Processes (BDPs) to account for the fact that the same resource can be possibly purchased by customers at different prices. In addition, customers can hold the resource at the purchase price to the necessary extent. The maximization of the revenue in both the finite and infinite time horizon cases is addressed in this paper with Stochastic Dynamic Programming (DP) approaches. To overcome the difficulty in solving the corresponding optimization problem due to the state space explosion, Approximate Dynamic Programming (ADP) techniques (in particular, the Least Square Temporal Difference method along with Monte Carlo simulations) are adopted. Furthermore, a MATLAB Toolbox is developed with the aim of solving stochastic DP/ADP problems and supporting probabilistic analysis. Extensive simulations are performed to show the effectiveness of the proposed model and the optimization approach.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126762979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550348
Felix Petzke, S. Streif
With the growing number of smart appliances in the electrical grid, flexible optimization techniques capable of scheduling large scale systems of such devices are needed in order to control them optimally. However, scheduling approaches in the literature predominantly use mixed-integer formulations with fixed time slots. This usually yields a poor scalability due to the computational complexity of the resulting mixed-integer optimization problems. Furthermore this approach can be rather inflexible since it restricts the task executions to specific time intervals. This may become problematic if the (actual) optimal task execution would only span a fraction of one time slot, as it might happen for applications with very short individual tasks.This paper presents an optimization based scheduling approach that creates a continuous schedule, i.e. the task execution is not bound to specific time slots. Furthermore, no integer variables are used in the process. This makes it not only applicable to processes with arbitrarily short execution time lengths, but also has the potential of a reduced computational complexity compared to mixed-integer based approaches. Preliminary case studies demonstrate the advantages of the proposed approach.
{"title":"Integer-Free Optimal Scheduling of Smart Appliances","authors":"Felix Petzke, S. Streif","doi":"10.23919/ECC.2018.8550348","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550348","url":null,"abstract":"With the growing number of smart appliances in the electrical grid, flexible optimization techniques capable of scheduling large scale systems of such devices are needed in order to control them optimally. However, scheduling approaches in the literature predominantly use mixed-integer formulations with fixed time slots. This usually yields a poor scalability due to the computational complexity of the resulting mixed-integer optimization problems. Furthermore this approach can be rather inflexible since it restricts the task executions to specific time intervals. This may become problematic if the (actual) optimal task execution would only span a fraction of one time slot, as it might happen for applications with very short individual tasks.This paper presents an optimization based scheduling approach that creates a continuous schedule, i.e. the task execution is not bound to specific time slots. Furthermore, no integer variables are used in the process. This makes it not only applicable to processes with arbitrarily short execution time lengths, but also has the potential of a reduced computational complexity compared to mixed-integer based approaches. Preliminary case studies demonstrate the advantages of the proposed approach.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126554947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550357
E. Malz, Mario Zanon, S. Gros
Airborne wind energy (AWE) is a promising source of renewable energy, with a potential of offering great and reliable energy yields. However, in addition to the usual power intermittency of renewable source of energies, AWE systems have a large and periodic fluctuation of their power output, and even consume power at certain phases of their orbit in some modes of power generation. These fluctuations may become a significant obstacle to a large-scale deployment of AWE systems in the power grid. For a large AWE farm, these fluctuations can be mitigated by power averaging, at the expense of fixing the AWE systems orbit times. This requirement removes the possibility for individual AWE systems within a wind farm to optimize their orbit time for their specific, local wind conditions, entailing a loss of performance. In order to assess the viability of mitigating the power fluctuation by power averaging at the wind farm level, this paper quantifies the loss of performance it yields.
{"title":"A Quantification of the Performance Loss of Power Averaging in Airborne Wind Energy Farms","authors":"E. Malz, Mario Zanon, S. Gros","doi":"10.23919/ECC.2018.8550357","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550357","url":null,"abstract":"Airborne wind energy (AWE) is a promising source of renewable energy, with a potential of offering great and reliable energy yields. However, in addition to the usual power intermittency of renewable source of energies, AWE systems have a large and periodic fluctuation of their power output, and even consume power at certain phases of their orbit in some modes of power generation. These fluctuations may become a significant obstacle to a large-scale deployment of AWE systems in the power grid. For a large AWE farm, these fluctuations can be mitigated by power averaging, at the expense of fixing the AWE systems orbit times. This requirement removes the possibility for individual AWE systems within a wind farm to optimize their orbit time for their specific, local wind conditions, entailing a loss of performance. In order to assess the viability of mitigating the power fluctuation by power averaging at the wind farm level, this paper quantifies the loss of performance it yields.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"369 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120884456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550577
Csaba Bali, Arthur G. Richards
A method is proposed for vehicle merging scenarios in junctions with relative cost prioritization. The method is based on Model Predictive Control, employing Mixed Integer Quadratic Program optimization. The scheme provides optimal control properties while maintaining safety and recursive feasibility. The latter properties are ensured through positive control invariance of simple time headway constraints. For examples with two vehicles, tunable prioritization and gap acceptance are verified and presented on a decision graph. Priorities are then demonstrated to be respected in an example with four vehicles.
{"title":"Merging Vehicles at Junctions using Mixed-Integer Model Predictive Control","authors":"Csaba Bali, Arthur G. Richards","doi":"10.23919/ECC.2018.8550577","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550577","url":null,"abstract":"A method is proposed for vehicle merging scenarios in junctions with relative cost prioritization. The method is based on Model Predictive Control, employing Mixed Integer Quadratic Program optimization. The scheme provides optimal control properties while maintaining safety and recursive feasibility. The latter properties are ensured through positive control invariance of simple time headway constraints. For examples with two vehicles, tunable prioritization and gap acceptance are verified and presented on a decision graph. Priorities are then demonstrated to be respected in an example with four vehicles.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116196370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550612
D. Cardoso, G. Raffo
Two important paradigms in control theory are the classical nonlinear $mathcal{H}_{2}$ and $mathcal{H}_{infty}$ control approaches. Their efficiency have already been demonstrated in several applications and the background theory is well developed. Despite their many advantages, they suffer from deficiencies such as minimum settling-time and minimum overshoot. An interesting approach to solve these lacks is the formulation of both controllers in the Sobolev space. Thanks to the nature of the $mathcal{W}_{1,2} -$ norm, the cost variable and its time derivative are taken into account in the cost functional, leading to improved transient and steady-state performance. Nevertheless, the HJB and HJBI equations that arises from the problem formulation in the Sobolev space are very hard to solve analytically. This work proposes an approach to approximate their solutions by adapting the classical Successive Galerkin Approximation Algorithms (SGAA). Numerical experiments are used to corroborate the proposed approach capacity to deal with underactuated systems when controlling the two-wheeled self-balanced vehicle.
{"title":"Approximated solutions to the nonlinear H2 and H∞ control approaches formulated in the Sobolev space*","authors":"D. Cardoso, G. Raffo","doi":"10.23919/ECC.2018.8550612","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550612","url":null,"abstract":"Two important paradigms in control theory are the classical nonlinear $mathcal{H}_{2}$ and $mathcal{H}_{infty}$ control approaches. Their efficiency have already been demonstrated in several applications and the background theory is well developed. Despite their many advantages, they suffer from deficiencies such as minimum settling-time and minimum overshoot. An interesting approach to solve these lacks is the formulation of both controllers in the Sobolev space. Thanks to the nature of the $mathcal{W}_{1,2} -$ norm, the cost variable and its time derivative are taken into account in the cost functional, leading to improved transient and steady-state performance. Nevertheless, the HJB and HJBI equations that arises from the problem formulation in the Sobolev space are very hard to solve analytically. This work proposes an approach to approximate their solutions by adapting the classical Successive Galerkin Approximation Algorithms (SGAA). Numerical experiments are used to corroborate the proposed approach capacity to deal with underactuated systems when controlling the two-wheeled self-balanced vehicle.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115301241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550291
Stelios G. Vrachimis, S. Timotheou, Demetrios G. Eliades, M. Polycarpou
Water distribution networks are critical infrastructure systems, which are required to reliably deliver water to consumers. Hydraulic state estimation of flows and pressures is key for the efficient and dependable operation of water systems. However, in practice, hydraulic state estimation is a challenging task due to the scarcity of sensors compared to system states and the presence of several modeling uncertainties. It is a common practice for historical data to be used in the place of missing measurements, however the lack of a statistical characterization for the error of these measurements results in having no knowledge of the state estimate error magnitude. This paper presents a methodology for generating hydraulic state bounding estimates by modeling measurement and parametric uncertainties as intervals. The resulting nonlinear interval hydraulic equations are re-formulated using bounding linearization, a technique that restricts the nonlinearities within a convex set, and solved using linear optimization. An iterative procedure improves the bounding linearization, converging to the tightest possible bounds. Simulation results demonstrate that the proposed methodology produces tight state bounds and can be successfully used to detect water leakages in the network.
{"title":"Interval State Estimation of Hydraulics in Water Distribution Networks","authors":"Stelios G. Vrachimis, S. Timotheou, Demetrios G. Eliades, M. Polycarpou","doi":"10.23919/ECC.2018.8550291","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550291","url":null,"abstract":"Water distribution networks are critical infrastructure systems, which are required to reliably deliver water to consumers. Hydraulic state estimation of flows and pressures is key for the efficient and dependable operation of water systems. However, in practice, hydraulic state estimation is a challenging task due to the scarcity of sensors compared to system states and the presence of several modeling uncertainties. It is a common practice for historical data to be used in the place of missing measurements, however the lack of a statistical characterization for the error of these measurements results in having no knowledge of the state estimate error magnitude. This paper presents a methodology for generating hydraulic state bounding estimates by modeling measurement and parametric uncertainties as intervals. The resulting nonlinear interval hydraulic equations are re-formulated using bounding linearization, a technique that restricts the nonlinearities within a convex set, and solved using linear optimization. An iterative procedure improves the bounding linearization, converging to the tightest possible bounds. Simulation results demonstrate that the proposed methodology produces tight state bounds and can be successfully used to detect water leakages in the network.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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