Automated driving and advanced driver assistance technologies represent an emerging field. The difference in maturity of various commercial and prototype systems causes ambiguities in the use and reliance for the user...
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ISBN:
(纸本)9781728156255
Automated driving and advanced driver assistance technologies represent an emerging field. The difference in maturity of various commercial and prototype systems causes ambiguities in the use and reliance for the users, who generally are not trained or educated for autonomous system management and efficient handover processes. While numerous models for shared vehicle control and driver behavior have been introduced recently, not much is known about the effect of situation awareness in a closed-loop human driver-vehicle system. This paper proposes a novel driver model based on a control theory approach, taking both situation awareness and vehicle dynamics into consideration.
We present a simple control algorithm for a single-hormone artificial pancreas (AP). The AP consists of a continuous glucose monitor (CGM) measuring the interstitial glucose concentration, a control algorithm computin...
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We present a simple control algorithm for a single-hormone artificial pancreas (AP). The AP consists of a continuous glucose monitor (CGM) measuring the interstitial glucose concentration, a control algorithm computing the insulin to administer, and an insulin pump dosing the insulin. The control algorithm is based on insights into the underlying dynamics of the glucose-insulin dynamics in people with type 1 diabetes. The main components in this control system are 1) an insulin bolus calculator to compensate for carbohydrates in meals, 2) a run-to-run algorithm for adjusting the basal insulin to long-term metabolic variations, and 3) a micro-bolus correction of the basal insulin to compensate for short-term variations in the endogenous insulin production and insulin sensitivity. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In this paper, an aerial robot system with neural dynamic controllers is presented. The proposed aerial robot system consists of two parts, one is a multi-rotor aircraft, which enables the aerial robot to move in spac...
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ISBN:
(数字)9781665418829
ISBN:
(纸本)9781665447997
In this paper, an aerial robot system with neural dynamic controllers is presented. The proposed aerial robot system consists of two parts, one is a multi-rotor aircraft, which enables the aerial robot to move in space, the other is a redundant servo manipulator for performing specific tasks. The hardware configuration of the aerial robot will be explained in detail. The PID control algorithm is used for designing the multi-rotor aircraft controller which avoids the requirements of complex model information and simplifies the design process. Furthermore, the neural dynamic method is used for designing the manipulator controller, which can make the end-effector of the manipulator perform time-varying tasks efficiently and accurately during the flight. Finally, both laboratory and outdoor experiments prove the reliability and feasibility of the aerial system.
The emergence of the industrial Internet of Things (IoT) and ever advancing computing and communication technologies have fueled a new industrial revolution which is happening worldwide to make current manufacturing s...
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The emergence of the industrial Internet of Things (IoT) and ever advancing computing and communication technologies have fueled a new industrial revolution which is happening worldwide to make current manufacturing systems smarter, safer, and more efficient. Although many general frameworks have been proposed for IoT enabled systems for industrial application, there is limited literature on demonstrations or testbeds of such systems. In addition, there is a lack of systematic study on the characteristics of IoT sensors and data analytics challenges associated with IoT sensor data. This study is an attempt to help fill this gap by exploring the characteristics of IoT vibration sensors and show how IoT sensors and big data analytics can be used to develop real time monitoring frameworks. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Energy storage systems are becoming critical in the future along the increasing renewable energy generation. Their role is central in balancing unexpected deviations in the electricity production and consumption in or...
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Energy storage systems are becoming critical in the future along the increasing renewable energy generation. Their role is central in balancing unexpected deviations in the electricity production and consumption in order to help maintaining the stability of the power system. Similar benefits can be also drawn from demand-side management solutions, where the consumers adapt their short- or mid-term energy needs according to the price and availability of electricity. This paper discusses the topic of energy storage and especially how a production process could be more efficiently modeled and used as an energy storage. A hierarchical approach is proposed, which to some extent is similar to existing demand-side management solutions. However, the discussed approach is aimed to reduce the modeling effort and increase the applicability of various processes to offer services to balance the discrepancies between electricity supply and consumption. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
We mapped a large-scale wastewater treatment plant onto a complex network and we investigated how the structural properties of the graph evolve in time as the facility is operated. The Viikinmaki plant is mapped onto ...
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We mapped a large-scale wastewater treatment plant onto a complex network and we investigated how the structural properties of the graph evolve in time as the facility is operated. The Viikinmaki plant is mapped onto a dependence network in which the nodes are online process measurements and interconnectivity between nodes encodes pairwise correlations between the corresponding time series, as estimated over moving-windows. In this initial study, the construction of a graph of Viikinmaki is presented and results are discussed with the goal of understanding its usability as model for process interactions and encoder of latent structures. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
This paper reports the experimental results of a predictive controller applied to a pH neutralization plant. A pretest was used to get an approximate transfer function (first order plus dead time) to tune a PI control...
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This paper reports the experimental results of a predictive controller applied to a pH neutralization plant. A pretest was used to get an approximate transfer function (first order plus dead time) to tune a PI controller, in order to collect data in closed-loop. The process was then identified in closed-loop with the PI controller to get linear models and the best models were chosen to implement the predictive controller. The performance of the predictive and the PI controllers was compared. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
This paper proposes a method based on BP neural network to predict the velocity of quadrotor UAV, which can effectively solve the problem of velocity error accumulation overtime during the process of inertial navigati...
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ISBN:
(数字)9781665418829
ISBN:
(纸本)9781665447997
This paper proposes a method based on BP neural network to predict the velocity of quadrotor UAV, which can effectively solve the problem of velocity error accumulation overtime during the process of inertial navigation of quadrotor UAV. Through dynamics analysis, it is concluded that the velocity of the quadrotor UAV is related to the attitude, acceleration, angular velocity, and control of the UAV. Based on the analysis of the dynamic, a BP neural network is used to construct a mapping network of the velocity of the quadrotor UAV and the attitude, acceleration, angular velocity, and control amount of the UAV. Through analysis and simulation experiments, it is proved that this method can effectively predict the velocity of quadrotor UAV. It can effectively assist the inertial navigation algorithm and improve the positioning accuracy of the UAV.
Methane is currently an emerging alternative feedstock for biological processes. In this paper, we study a particular methane bioconversion process based on the bacterium Methylomicrobium buryatense 5GB1, with the aim...
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Methane is currently an emerging alternative feedstock for biological processes. In this paper, we study a particular methane bioconversion process based on the bacterium Methylomicrobium buryatense 5GB1, with the aim of improving accessibility of the process to state estimation and control. First, a non-linear unsegregated, unstructured model, consisting of 8 dynamic mass flow balance equations and 8 state variables, is constructed and implemented as a dynamic simulator in MATLAB and Simulink. Second, an observability analysis is performed with the aim of finding suitable sensor configurations for state estimation, and the resulting observable configurations are further evaluated by checking the performance of linear Kalman filters for each configuration. This evalution shows that including a biomass sensor in the measurements for the Kalman filter may have conflicting effects on estimation accuracy. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Here we present a novel control concept for a dual model, semi-continuous chromatographic separation process. We follow the PAROC framework and software platform for the design and in silico testing of the controllers...
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Here we present a novel control concept for a dual model, semi-continuous chromatographic separation process. We follow the PAROC framework and software platform for the design and in silico testing of the controllers for the multicolumn system. The proposed strategy returns periodic input profiles that are in good agreement with the experimentally optimized ones and results into efficient mixture separation over a 10-cycle operating window. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
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