{"title":"System reconfiguration of large-scale control systems using back-up actuators","authors":"Carlos Trapiello, V. Puig, G. Cembraño","doi":"10.1109/CoDIT49905.2020.9263902","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263902","url":null,"abstract":"The intrinsic redundancy of large-scale control systems allows to differentiate between the nominal system configuration, where the dynamics of the plant are controlled through a specific subset of actuators, and the possible configurations that arise from the combination of all the existing actuators (nominal plus back-up ones). After the occurrence of an unexpected event (component fault, isolation of a specific area due to security concerns, etc), some of the back-up system actuators can be used in order to guarantee that the system performance will remain within some admissible margins. Thus, given a scenario that causes a non-admissible system operation with the nominal configuration, the possibility to use back-up actuators in order to improve the system performance expands the traditional fault tolerant control scenario defining a new problem. Accordingly, this work is devoted to the introduction of the problem which is solved by formulating the actuator selection as a mixed-integer programming optimization. A water distribution network is used with the aim to illustrate the new problem implications as well as to demonstrate the validity of the proposed solution.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115603763","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}
P. Healy, Pierre Laroche, Franc Marchetti, Sébastien Martin, Zsuzsanna Róka
{"title":"Exact and Heuristic Solutions to the Connected k-Partitioning Problem","authors":"P. Healy, Pierre Laroche, Franc Marchetti, Sébastien Martin, Zsuzsanna Róka","doi":"10.1109/CoDIT49905.2020.9263884","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263884","url":null,"abstract":"We study the problem of partitioning a graph into k connected components, which may also be referred to as the maximum k-cutset problem. Firstly, we present an exact algorithm and a variant, both implemented as integer linear programming (ILP) models. We then present a heuristic approach that will be seen to be extremely competitive with the exact algorithm for the ranges of graph under consideration.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123390275","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}
{"title":"Resolution of a Routing and Wavelength Assignment Problem by Independent Sets in Conflict Graphs","authors":"O. Hudry","doi":"10.1109/CoDIT49905.2020.9263857","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263857","url":null,"abstract":"In an optical network, a Scheduled Lightpath Demand (SLD) is a connection demand between two nodes, during a certain time and with a certain wavelength. We consider the following NP-hard Routing and Wavelength Assignment problem dealing with SLDs: given a set of SLDs and a number W of wavelengths, maximize the number of SLDs to which we can assign a lightpath (i.e. a routing path and a wavelength) without exceeding the number W of available wavelengths. The constraints are: a same wavelength must be assigned all along the routing path of any SLD; at any time, a given wavelength on a given edge of the network cannot be used to satisfy more than one SLD. To solve this problem, we study an approach stating the problem as the successive searches of independent sets in some conflict graphs. Moreover, we improve this approach thanks to a post-optimization method. The experimental results show that this model and the post-optimization method are quite efficient to provide a large number of routed SLDs.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123552506","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}
{"title":"A System-Theoretic Measure for Quantification of Vulnerabilities to Cyber Attacks with Application to Unmanned Aerial Vehicles","authors":"M. Tahavori","doi":"10.1109/CoDIT49905.2020.9263905","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263905","url":null,"abstract":"The popularity of unmanned aerial vehicles (UAV) is on the rise as they find applications in different areas. The wide adoption of the solutions based on UAV’s continually raise issues and concerns related to the safety and security of UAV’s and their vulnerabilities to cyber attacks. It is therefore important to be able to quantify the level of vulnerability for UAV’s. In this paper, a new system theoretic measure is proposed which quantifies the level of vulnerability of dynamic systems to cyber attacks. A system is vulnerable to cyberattack, if it can be steered easily to a particular state by an attacker and the state is difficult to be observed by the existing sensing configuration. The developed measure is the generalized version of its linear counterpart, which has been previously defined and presented for linear systems. The proposed vulnerability measure is generic and can be used for different nonlinear dynamic systems, however, in this paper it is used to quantify the level vulnerabilities of UAV’s to cyber attacks.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122001655","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}
{"title":"Modelling the system of agents in the presence of random moments of transactions*","authors":"A. Zhukova, I. Pospelov","doi":"10.1109/CoDIT49905.2020.9263877","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263877","url":null,"abstract":"This paper presents the approach to modelling the system of agents making transactions at random time. The two main ideas are, to obtain the agents’ optimal control in the form of synthesis (feedback) and, secondly, to make the aggregate dynamics stock-flow consistent on the average, not strictly at any moment of time. We present a model of a large number of consumers and producers that take loans from the bank to buy consumption goods or investment. The moments of deals form described the Poisson flow. Consumers and producers optimally solve their stochastic optimal control problems. The solution to the OC problems are in the closed-loop form, obtained using asymptotic methods for large frequency of transactions. The optimal policy functions appear to be linear in the state variables, if time is far from the planning horizon. This enables aggregation across a large population of consumers or producers. As a result, the description of the dynamics of their aggregate state might be substituted by deterministic dynamics. The system of equations for the aggregate dynamics is reduced to one differential equation. The equation is studied numerically and the results are presented.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125896585","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}
A. Asabin, E. Sosnina, I. Belyanin, R. Bedretdinov, E. Kryukov
{"title":"Control System of the Thyristor Voltage Regulator","authors":"A. Asabin, E. Sosnina, I. Belyanin, R. Bedretdinov, E. Kryukov","doi":"10.1109/CoDIT49905.2020.9263984","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263984","url":null,"abstract":"Smart Grid creation is not possible without devices that provide active and adaptive control of the electric network parameters and configuration. One such device is a Thyristor Voltage Regulator (TVR). The TVR assignment is automatic voltage and power regulation in medium voltage power distribution networks (6-20 kV). The article is devoted to the development and research of the first level TVR control system. An algorithm for two-zone sequential control of thyristors has been developed. TVR thyristors are controlled by a pulse -phase method. Diagrams for generating control pulses are presented. The software implementation of the TVR control system is performed in LabVIEW. A test program has been developed for TVR control system research. The research has shown that TVR control system is completely efficient and performs all specified functions.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125955830","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}
{"title":"Linear Parameter Varying Robust Control for Wind Turbine Power Regulation","authors":"Z. S. AlSoud, Mahmoud Al-Soud, T. Shaqarin","doi":"10.1109/CoDIT49905.2020.9263836","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263836","url":null,"abstract":"Regulation of speed, torque and output power of a wind energy conversion system (WECS) at nominal values is a crucial safety aspect. It avoids failure of the generator and turbine mechanics in the above-rated wind speed region of wind turbine dynamic system.Linear Parameter Varying (LPV) based H∞ controller is designed to improve the stability, robustness and performance of the wind energy conversion system, in the presence of wind speed variations and output power fluctuations. The control goal is to regulate the generator rotational speed, torque and consequently the output power in the presence of variable wind speed. The regulation the output power is carried out via manipulating the pitch angle. As additional challenge, the incoming wind speed with turbulence intensity more than ± 10% is modeled. To assess the performance and robustness of the LPV controller, simulations are performed with turbulent wind. The time response simulations ensure the robustness of the proposed controller against free-stream velocity variation.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124774627","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}
A. Brusaferri, M. Matteucci, Pietro Portolani, S. Spinelli, Andrea Vitali
{"title":"Hybrid system identification using a mixture of NARX experts with LASSO-based feature selection","authors":"A. Brusaferri, M. Matteucci, Pietro Portolani, S. Spinelli, Andrea Vitali","doi":"10.1109/CoDIT49905.2020.9263962","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263962","url":null,"abstract":"The availability of advanced hybrid system identification techniques is fundamental to extract knowledge in form of models from data streams. Starting from the current state of the art, we propose an approach based on a specialized architecture, conceived to address the peculiar integration of nonlinear dynamics and finite state switching behavior of hybrid systems. Following the Mixtures of Experts concept, we combine a set of Neural Network ARX (NNARX) models with a Gated Recurrent Units network with softmax output. The former are exploited to map specific nonlinear dynamical models representing the behavior of the system in each discrete mode of operation. The latter, operating as a neural switching machine, infers the unobserved active mode and learns the state-transition logic, conditioned on input-output data sequences. Besides, we integrate a LASSO based input features and model selection mechanism, aimed to extract the most informative lags over the sequences for each NNARX and calibrate the modes to be employed. The overall system is trained end-to-end. Experiments have been performed on a benchmark hybrid automata with nonlinear dynamics and transitions, showing the capability to achieve improved performances than conventional architectures.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128386886","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}
B. Bendjedia, Sadjida Mahdjoubi, Laid Degaa, N. Rizoug
{"title":"Improved Fuzzy Logic Control of PV/Battery Hybrid Power System","authors":"B. Bendjedia, Sadjida Mahdjoubi, Laid Degaa, N. Rizoug","doi":"10.1109/CoDIT49905.2020.9263825","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263825","url":null,"abstract":"Photovoltaic systems are one of methods of using solar energy, which is one of the most renewable sources. The growth of photovoltaic systems has led to many technical problems, including control; low efficiency and stable provided power. Therefore, we propose in this paper a detailed study of a hybrid system consisting of a PV generator as a primary source and batteries as auxiliary one. Maximum Power Point Tracking (MPPT) algorithm is used to control the boost converter in the objective to increase the PV efficiency, between load and PV generator. This structure can be used as a power supply for standalone system or a solar electric vehicle.The main contribution in this paper is to propose a hybrid FLC/PI supervisor for DC bus voltage control. It should satisfy the load power requirement via the DC-DC bidirectional converter control with optimizing energy transfer. The obtained results using this controller are compared with PI and FLC controllers in term of robustness, stability and dynamic performances. It is confirmed that the proposed control can improve greatly the dynamic performances and robustness of the hybrid PV system.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128542250","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}
{"title":"Deep Imitation Learning for Broom-Manipulation Tasks Using Small-Sized Training Data","authors":"Harumo Sasatake, R. Tasaki, N. Uchiyama","doi":"10.1109/CoDIT49905.2020.9263779","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263779","url":null,"abstract":"It is important for robots to learn the usage of tools and support humans in aging societies. It is expected for robots possible to imitate human skills of tool manipulation properly using a deep neural network, although a huge amount of training data may be required. In this paper, a target human-like task of cleaning dust using several types of brooms with a robot arm is considered. A learning system that can reduce the amount of training data is proposed. The novelty of the proposed system is the ability to estimate the initial parameters of a deep neural network based on the shape of the broom and data stored from previous experience. Furthermore, the system changes the number of learning layers in the deep neural network depending on the broom shape. Results of experiences show the effectiveness in reducing the amount of training data.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129737448","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}