Pub Date : 2016-07-06DOI: 10.1109/ACC.2016.7526740
Dylan J. Shiltz, A. Annaswamy
For a power grid to operate properly, electrical frequency must be continuously maintained close to its nominal value. Increasing penetration of distributed generation, such as solar and wind generation, introduces fluctuations in active power while also reducing the natural inertial response of the electricity grid, creating reliability concerns. While frequency regulation has traditionally been achieved by controlling generators, the control of Demand Response (DR) resources has been recognized in recent smart grid literature as an efficient means for providing additional regulation capability. To this end, several control methodologies have been proposed recently, but various features of these proposals make their practical implementations difficult. In this paper, we propose a new control algorithm that facilitates optimal frequency regulation through direct control of both generators and DR, while addressing several issues that prevent practical implementation of other proposals. In particular, i) our algorithm is ideal for control over a large, low-bandwidth network as communication and measurement is only required every 2 seconds, ii) it enables DR resources to recover energy lost during system transients, and iii) it allows the market to immediately respond to disturbances through feedback of the system frequency. We demonstrate the viability of our approach through dynamic simulations on a 118-bus grid model.
{"title":"A practical integration of automatic generation control and Demand Response","authors":"Dylan J. Shiltz, A. Annaswamy","doi":"10.1109/ACC.2016.7526740","DOIUrl":"https://doi.org/10.1109/ACC.2016.7526740","url":null,"abstract":"For a power grid to operate properly, electrical frequency must be continuously maintained close to its nominal value. Increasing penetration of distributed generation, such as solar and wind generation, introduces fluctuations in active power while also reducing the natural inertial response of the electricity grid, creating reliability concerns. While frequency regulation has traditionally been achieved by controlling generators, the control of Demand Response (DR) resources has been recognized in recent smart grid literature as an efficient means for providing additional regulation capability. To this end, several control methodologies have been proposed recently, but various features of these proposals make their practical implementations difficult. In this paper, we propose a new control algorithm that facilitates optimal frequency regulation through direct control of both generators and DR, while addressing several issues that prevent practical implementation of other proposals. In particular, i) our algorithm is ideal for control over a large, low-bandwidth network as communication and measurement is only required every 2 seconds, ii) it enables DR resources to recover energy lost during system transients, and iii) it allows the market to immediately respond to disturbances through feedback of the system frequency. We demonstrate the viability of our approach through dynamic simulations on a 118-bus grid model.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129827506","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 : 2016-07-06DOI: 10.1109/ACC.2016.7525259
F. Meng, J. Wenske, A. Gambier
Wind being the primary energy resource has a huge influence on the dynamic behavior of wind turbines. Therefore, the control algorithms can be further improved if the wind speed is known by the controller. Unfortunately, either no accurate direct online measurement of the effective wind speed is available or the measurement system is too expensive, which means that it should be estimated in order to make such improvement applicable on the control algorithm in practice. In this paper a new feedforward feedback collective pitch control algorithm based on the estimated effective wind speed and wind speed extrapolation is presented for improving the traditional collective pitch controller. The simulation results show that with the presented controller both fatigue loads and extreme loads can be reduced for the turbulent wind field and extreme operating gust respectively.
{"title":"Wind turbine loads reduction using feedforward feedback collective pitch control based on the estimated effective wind speed","authors":"F. Meng, J. Wenske, A. Gambier","doi":"10.1109/ACC.2016.7525259","DOIUrl":"https://doi.org/10.1109/ACC.2016.7525259","url":null,"abstract":"Wind being the primary energy resource has a huge influence on the dynamic behavior of wind turbines. Therefore, the control algorithms can be further improved if the wind speed is known by the controller. Unfortunately, either no accurate direct online measurement of the effective wind speed is available or the measurement system is too expensive, which means that it should be estimated in order to make such improvement applicable on the control algorithm in practice. In this paper a new feedforward feedback collective pitch control algorithm based on the estimated effective wind speed and wind speed extrapolation is presented for improving the traditional collective pitch controller. The simulation results show that with the presented controller both fatigue loads and extreme loads can be reduced for the turbulent wind field and extreme operating gust respectively.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"127 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129866155","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 : 2016-07-06DOI: 10.1109/ACC.2016.7526693
Raphael Louca, S. Bose, E. Bitar
We derive a new upper bound on the minimum rank of matrices belonging to an affine slice of the positive semidefinite cone, when the affine slice is defined according to a system of sparse linear matrix equations. It is shown that a feasible matrix whose rank is no greater than said bound can be computed in polynomial time. The bound depends on both the number of linear matrix equations and their underlying sparsity pattern. For certain problem families, this bound is shown to improve upon well known bounds in the literature. Several examples are provided to illustrate the efficacy of this bound.
{"title":"A bound on the minimum rank of solutions to sparse linear matrix equations","authors":"Raphael Louca, S. Bose, E. Bitar","doi":"10.1109/ACC.2016.7526693","DOIUrl":"https://doi.org/10.1109/ACC.2016.7526693","url":null,"abstract":"We derive a new upper bound on the minimum rank of matrices belonging to an affine slice of the positive semidefinite cone, when the affine slice is defined according to a system of sparse linear matrix equations. It is shown that a feasible matrix whose rank is no greater than said bound can be computed in polynomial time. The bound depends on both the number of linear matrix equations and their underlying sparsity pattern. For certain problem families, this bound is shown to improve upon well known bounds in the literature. Several examples are provided to illustrate the efficacy of this bound.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128407746","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 : 2016-07-06DOI: 10.1109/acc.2016.7526558
S. Boersma, A. Korniienko, Khaled Laib, J. Wingerden
Time domain specifications such as overshoot, rise time and tracking behaviour can be extracted from an amplitude frequency response. For uncertain systems we use for this an upper bound on the maximum amplitude frequency response. There are tools which can compute this upper bound for each frequency in a grid. Computing this upper bound can be computational expensive when studying a large scale system hence it is interesting to have a low dense frequency grid. However, in such a case, it can for example occur that the maximum peak of the amplitude frequency response occurs at a frequency which is not in this grid. A consequence is that the overshoot will not be determined well for the system. In this paper we will present a method such that this can not occur. We will augment the uncertainty set with an additional uncertain parameter. This uncertain parameter will cover the frequencies which are not covered by the grid. This allows us to do a robustness analysis for a range of frequencies. In this case we are sure that we do not miss any crucial information with respect to the amplitude frequency response lying in between the frequencies in the grid. We illustrate this using two simulation examples.
{"title":"Robust performance analysis for a range of frequencies","authors":"S. Boersma, A. Korniienko, Khaled Laib, J. Wingerden","doi":"10.1109/acc.2016.7526558","DOIUrl":"https://doi.org/10.1109/acc.2016.7526558","url":null,"abstract":"Time domain specifications such as overshoot, rise time and tracking behaviour can be extracted from an amplitude frequency response. For uncertain systems we use for this an upper bound on the maximum amplitude frequency response. There are tools which can compute this upper bound for each frequency in a grid. Computing this upper bound can be computational expensive when studying a large scale system hence it is interesting to have a low dense frequency grid. However, in such a case, it can for example occur that the maximum peak of the amplitude frequency response occurs at a frequency which is not in this grid. A consequence is that the overshoot will not be determined well for the system. In this paper we will present a method such that this can not occur. We will augment the uncertainty set with an additional uncertain parameter. This uncertain parameter will cover the frequencies which are not covered by the grid. This allows us to do a robustness analysis for a range of frequencies. In this case we are sure that we do not miss any crucial information with respect to the amplitude frequency response lying in between the frequencies in the grid. We illustrate this using two simulation examples.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128272570","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 : 2016-07-06DOI: 10.1109/ACC.2016.7526632
Francois Belletti, M. Huo, X. Litrico, A. Bayen
This article starts from the classical Aw-Rascle-Zhang (ARZ) model for freeway traffic and develops a spectral analysis of its linearized version. A counterpart to the Froude number in hydrodynamics is defined that enables a classification of the nature of vehicle traffic flow using the explicit solution resulting from the analysis. We prove that our linearization about an equilibrium is stable for congested regimes and convective-unstable otherwise. NGSIM data for congested traffic trajectories is used to compare the linearized model's predictions with actual macroscopic behavior of traffic. The model is shown to achieve good accuracy for speed and flow. In particular, it replicates the propagation of boundary conditions' oscillations into the interior resolution domain of the PDE under study.
{"title":"Characterization of the convective instability of the Aw-Rascle-Zhang model via spectral analysis","authors":"Francois Belletti, M. Huo, X. Litrico, A. Bayen","doi":"10.1109/ACC.2016.7526632","DOIUrl":"https://doi.org/10.1109/ACC.2016.7526632","url":null,"abstract":"This article starts from the classical Aw-Rascle-Zhang (ARZ) model for freeway traffic and develops a spectral analysis of its linearized version. A counterpart to the Froude number in hydrodynamics is defined that enables a classification of the nature of vehicle traffic flow using the explicit solution resulting from the analysis. We prove that our linearization about an equilibrium is stable for congested regimes and convective-unstable otherwise. NGSIM data for congested traffic trajectories is used to compare the linearized model's predictions with actual macroscopic behavior of traffic. The model is shown to achieve good accuracy for speed and flow. In particular, it replicates the propagation of boundary conditions' oscillations into the interior resolution domain of the PDE under study.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128273979","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 : 2016-07-06DOI: 10.1109/ACC.2016.7526525
Maryam Sadeghi Reineh, Solmaz S. Kia, F. Jabbari
We consider systems with actuator magnitude and rate limitations, and assume there are high performance compensators with highly desirable properties as long as the actuator limitations are not violated. A multi-stage anti-windup (AW) scheme is presented that provides stability and performance measures, for commands with known bound. More critically, it uses different gains for different levels of saturation, allowing for more aggressive anti-windup gains when the command signals are moderately above the actuator limitations. The benefits are shown through an illustrative example.
{"title":"Multi-stage anti-windup for LTI systems with actuator magnitude and rate saturation","authors":"Maryam Sadeghi Reineh, Solmaz S. Kia, F. Jabbari","doi":"10.1109/ACC.2016.7526525","DOIUrl":"https://doi.org/10.1109/ACC.2016.7526525","url":null,"abstract":"We consider systems with actuator magnitude and rate limitations, and assume there are high performance compensators with highly desirable properties as long as the actuator limitations are not violated. A multi-stage anti-windup (AW) scheme is presented that provides stability and performance measures, for commands with known bound. More critically, it uses different gains for different levels of saturation, allowing for more aggressive anti-windup gains when the command signals are moderately above the actuator limitations. The benefits are shown through an illustrative example.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128973270","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 : 2016-07-06DOI: 10.1109/ACC.2016.7526071
N. Chuang
This paper presents an improved hysteretic model for a piezoelectric actuator (PEA) based nano-positioning system. PEAs exhibit hysteresis nonlinearities, which can dramatically limit control performance and accuracy of the nano-positioning system. The paper provides a design of a hysteretic nonlinearity estimator using a robust extended Kalman filter to determine the best estimate for the hysteresis model. A good quality and an accurate level of the model is an important task and a prerequisite that may significantly affect the control performance in nano-positioning systems even using an advanced controller. With the respect to the hysteresis model considered in [1], the proposed approach in this paper demonstrates a significant improvement to have perfectly matched the experimental data of the measured hysteresis curve of the displacement by comparing the one presented in [1].
{"title":"A robust extended Kalman filter for modeling piezoelectric actuators","authors":"N. Chuang","doi":"10.1109/ACC.2016.7526071","DOIUrl":"https://doi.org/10.1109/ACC.2016.7526071","url":null,"abstract":"This paper presents an improved hysteretic model for a piezoelectric actuator (PEA) based nano-positioning system. PEAs exhibit hysteresis nonlinearities, which can dramatically limit control performance and accuracy of the nano-positioning system. The paper provides a design of a hysteretic nonlinearity estimator using a robust extended Kalman filter to determine the best estimate for the hysteresis model. A good quality and an accurate level of the model is an important task and a prerequisite that may significantly affect the control performance in nano-positioning systems even using an advanced controller. With the respect to the hysteresis model considered in [1], the proposed approach in this paper demonstrates a significant improvement to have perfectly matched the experimental data of the measured hysteresis curve of the displacement by comparing the one presented in [1].","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128999722","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 : 2016-07-06DOI: 10.1109/ACC.2016.7525366
C. Agulhari, M. J. Lacerda
New conditions for the design of robust periodic observer-based controllers for periodic discrete-time linear time-varying (LTV) systems are proposed in this paper. The control system is designed to be robust to external noises, and such robustness is achieved by minimizing the ℋ∞ norm from the input noise to the error output in the observer design, and the ℋ∞ norm from the error and disturbance signal to the output in the control design. Concerning the observer, two LMI (Linear Matrix Inequality) conditions are proposed. As part of the main contribution, an LMI condition, based on a dual representation of the LTV system, is also proposed for the synthesis of a robust state-feedback controller that makes use of the observed states rather than the actual states. A numerical example illustrates the validity of the proposed technique.
{"title":"Robust periodic observer-based control for periodic discrete-time LTV systems","authors":"C. Agulhari, M. J. Lacerda","doi":"10.1109/ACC.2016.7525366","DOIUrl":"https://doi.org/10.1109/ACC.2016.7525366","url":null,"abstract":"New conditions for the design of robust periodic observer-based controllers for periodic discrete-time linear time-varying (LTV) systems are proposed in this paper. The control system is designed to be robust to external noises, and such robustness is achieved by minimizing the ℋ∞ norm from the input noise to the error output in the observer design, and the ℋ∞ norm from the error and disturbance signal to the output in the control design. Concerning the observer, two LMI (Linear Matrix Inequality) conditions are proposed. As part of the main contribution, an LMI condition, based on a dual representation of the LTV system, is also proposed for the synthesis of a robust state-feedback controller that makes use of the observed states rather than the actual states. A numerical example illustrates the validity of the proposed technique.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129169170","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 : 2016-07-06DOI: 10.1109/ACC.2016.7525417
Mark Trudgen, S. Z. Rizvi, J. Mohammadpour
In the present paper, a new approach is presented to model rapid thermal processing (RTP) systems. Within the past decade, RTP has achieved acceptance as the mainstream technology for semiconductor manufacturing. Thermal processing is one of the most efficient ways to control the phase-structure properties; moreover, the time duration of RTP systems reduces the so-called thermal budget significantly compared to the traditional methods. RTP implementation is based on the use of light from heating lamps to provide a heat flux. This process is highly nonlinear due to the radiative heat transfer and material properties. By invoking the first principles-based models, we develop in this paper a linear parameter-varying (LPV) model to directly account for all the nonlinearities within the system. The model is then discretized into a high-order affine LPV system; thereafter, principal component analysis (PCA) method is utilized to reduce the number of LPV model's scheduling variables, followed by the use of proper orthogonal decomposition (POD) for model order reduction. Finally, simulations demonstrate that the low-order LPV model, which is in a form suitable for controller design purposes, retains the properties of the original full-order model.
{"title":"Linear parameter-varying approach for modeling rapid thermal processes","authors":"Mark Trudgen, S. Z. Rizvi, J. Mohammadpour","doi":"10.1109/ACC.2016.7525417","DOIUrl":"https://doi.org/10.1109/ACC.2016.7525417","url":null,"abstract":"In the present paper, a new approach is presented to model rapid thermal processing (RTP) systems. Within the past decade, RTP has achieved acceptance as the mainstream technology for semiconductor manufacturing. Thermal processing is one of the most efficient ways to control the phase-structure properties; moreover, the time duration of RTP systems reduces the so-called thermal budget significantly compared to the traditional methods. RTP implementation is based on the use of light from heating lamps to provide a heat flux. This process is highly nonlinear due to the radiative heat transfer and material properties. By invoking the first principles-based models, we develop in this paper a linear parameter-varying (LPV) model to directly account for all the nonlinearities within the system. The model is then discretized into a high-order affine LPV system; thereafter, principal component analysis (PCA) method is utilized to reduce the number of LPV model's scheduling variables, followed by the use of proper orthogonal decomposition (POD) for model order reduction. Finally, simulations demonstrate that the low-order LPV model, which is in a form suitable for controller design purposes, retains the properties of the original full-order model.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129282283","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 : 2016-07-06DOI: 10.1109/ACC.2016.7525273
Jeremy S. Dobbs, Meysam Razmara, M. Shahbakhti, S. Paudyal
Application of Model Predictive Control (MPC) for a Smart Building in a Smart Grid environment is studied by using an experimentally validated building thermal model. The goal is to compare three control input types for an office building's Heating, Ventilation, and Air Conditioning (HVAC) system, and select the control type with the best performance. Three types of MPC control input are considered for the HVAC system: (1) solitary control over the supply air temperature, (2) solitary control over the air mass flow rate, and (3) combined control over the supply air temperature and mass flow rate. An objective function is defined based on an introduced Normalized Performance Index (NP-Index) which balances price minimization while maintaining a balanced steady load profile in the grid which benefits customers and the distribution grid utility. The results show that using the combined control approach leads to 20% improvement on NP-Index compared to the solitary mass flow rate control. Additionally, controlling both the supply air temperature and air mass flow rate reduces power consumption by 4% and 13% compared to solitary air temperature control and solitary air mass flow rate control, respectively.
{"title":"Selecting control input type for a building predictive controller integrated in a power grid","authors":"Jeremy S. Dobbs, Meysam Razmara, M. Shahbakhti, S. Paudyal","doi":"10.1109/ACC.2016.7525273","DOIUrl":"https://doi.org/10.1109/ACC.2016.7525273","url":null,"abstract":"Application of Model Predictive Control (MPC) for a Smart Building in a Smart Grid environment is studied by using an experimentally validated building thermal model. The goal is to compare three control input types for an office building's Heating, Ventilation, and Air Conditioning (HVAC) system, and select the control type with the best performance. Three types of MPC control input are considered for the HVAC system: (1) solitary control over the supply air temperature, (2) solitary control over the air mass flow rate, and (3) combined control over the supply air temperature and mass flow rate. An objective function is defined based on an introduced Normalized Performance Index (NP-Index) which balances price minimization while maintaining a balanced steady load profile in the grid which benefits customers and the distribution grid utility. The results show that using the combined control approach leads to 20% improvement on NP-Index compared to the solitary mass flow rate control. Additionally, controlling both the supply air temperature and air mass flow rate reduces power consumption by 4% and 13% compared to solitary air temperature control and solitary air mass flow rate control, respectively.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124581906","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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