<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xml:base="https://www.ifac2017.org"  xmlns:dc="http://purl.org/dc/elements/1.1/">
<channel>
 <title>IFAC 2017 World Congress, Toulouse, France - Applications</title>
 <link>https://www.ifac2017.org/%C3%A9tiquettes/applications</link>
 <description></description>
 <language>en</language>
<item>
 <title>4 new published Open Invited Tracks</title>
 <link>https://www.ifac2017.org/article/4-new-published-open-invited-tracks</link>
 <description>&lt;div class=&quot;field field-name-field-tags field-type-taxonomy-term-reference field-label-above clearfix&quot;&gt;&lt;h3 class=&quot;field-label&quot;&gt;Tags: &lt;/h3&gt;&lt;ul class=&quot;links&quot;&gt;&lt;li class=&quot;taxonomy-term-reference-0&quot; rel=&quot;dc:subject&quot;&gt;&lt;a href=&quot;/%C3%A9tiquettes/open-invited-tracks&quot; typeof=&quot;skos:Concept&quot; property=&quot;rdfs:label skos:prefLabel&quot; datatype=&quot;&quot;&gt;Open Invited Tracks&lt;/a&gt;&lt;/li&gt;&lt;li class=&quot;taxonomy-term-reference-1&quot; rel=&quot;dc:subject&quot;&gt;&lt;a href=&quot;/%C3%A9tiquettes/history&quot; typeof=&quot;skos:Concept&quot; property=&quot;rdfs:label skos:prefLabel&quot; datatype=&quot;&quot;&gt;History&lt;/a&gt;&lt;/li&gt;&lt;li class=&quot;taxonomy-term-reference-2&quot; rel=&quot;dc:subject&quot;&gt;&lt;a href=&quot;/%C3%A9tiquettes/applications&quot; typeof=&quot;skos:Concept&quot; property=&quot;rdfs:label skos:prefLabel&quot; datatype=&quot;&quot;&gt;Applications&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div class=&quot;field field-name-body field-type-text-with-summary field-label-hidden&quot;&gt;&lt;div class=&quot;field-items&quot;&gt;&lt;div class=&quot;field-item even&quot; property=&quot;content:encoded&quot;&gt;&lt;p&gt;History of Control in Aerospace; Control for Computing Systems; Industrial Performance Measurement and Management; System Identification for Manufacturing Control Applications&lt;/p&gt;
&lt;p&gt;More about these when following the links.&lt;/p&gt;
&lt;hr /&gt;&lt;p&gt;&lt;strong&gt;Title: &lt;a href=&quot;https://www.ifac2017.org/OIT#um863&quot;&gt;History of Automatic Control in Aerospace engineering&lt;/a&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Track proposed by:&lt;/strong&gt;  Daniel Alazard, Alexander Nebylov&lt;br /&gt;&lt;strong&gt;Abstract:&lt;/strong&gt;  Toulouse, the Aerospace European city, will welcome the next IFAC World Congress 2017. This event will also celebrate the 60&#039;th birthday of IFAC. 60 years ago (1957), the first artificial satellite of the earth, Sputnik, was launched. 100 year ago (1917), the first flight of an aircraft equipped with a gyro-based autopilot was certainly one of the first success of Automatic Control in Aeronautical engineering. Indisputably, IFAC WC 2017 is the good event to collect international contributions in an historical open invited track dedicated to the challenges won in Aerospace engineering, thanks to Automatic control. The scope of this open invited track is to capitalize and exchange the feedback gained from the past major developments and major programs dedicated to control systems in the field of Aeronautical and Astronautical engineering. Contributions can focus on the evolution of methods and algorithms for GNC (Guidance, Navigation and Control), FDIR (Fault Detection Identification and Reconfiguration), FMS (Flight Management Systems), ... as well as instrumentation, actuators, on-board computer for aerospace vehicles (aircraft, rotorcraft, launchers, satellites, constellations,...). The contributions aiming to propose the new challenges for the next decades based on the experience gained from the past will be also very well appreciated.&lt;br /&gt;&lt;strong&gt;Code for submitting contributions: &lt;span style=&quot;color:rgb(207, 65, 47)&quot;&gt; um863&lt;/span&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Full description:&lt;/strong&gt;  &lt;a href=&quot;https://www.ifac2017.org/sites/www.ifac2017.org/files/IFAC17_0054_MS_TC22.pdf&quot;&gt;PDF&lt;/a&gt;&lt;/p&gt;
&lt;hr /&gt;&lt;p&gt;&lt;strong&gt;Title: &lt;a href=&quot;https://www.ifac2017.org/OIT#geht5&quot;&gt;Control for Computing Systems &lt;/a&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Track proposed by:&lt;/strong&gt;  Eric Rutten, Karl-Erik Arzen&lt;br /&gt;&lt;strong&gt;Abstract:&lt;/strong&gt;  Computing systems, large (data centers in the Cloud) or small (embedded architectures), have a growing need to be dynamically flexible and reconfigurable w.r.t. their environments and workloads, and to be automated with control loops in order to be efficient, safe and responsive. Whereas computing for control is well-established domain, the converse : control for computing systems, is a novel approach, explored only in the recent years. The aim of this open invited track is to propose a multi-disciplinary gathering around computing systems as a new application area for Control Theory, with challenges in modeling of these unfamiliar systems, and identification of the relevant control techniques for problems where automation has not been introduced yet.&lt;br /&gt;&lt;strong&gt;Code for submitting contributions: &lt;span style=&quot;color:rgb(207, 65, 47)&quot;&gt; geht5 &lt;/span&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Full description:&lt;/strong&gt;  &lt;a href=&quot;https://www.ifac2017.org/sites/www.ifac2017.org/files/IFAC17_0056_MS_TC21.pdf&quot;&gt;PDF&lt;/a&gt;&lt;/p&gt;
&lt;hr /&gt;&lt;p&gt;&lt;strong&gt;Title: &lt;a href=&quot;https://www.ifac2017.org/OIT#wb2k1&quot;&gt; Industrial Performance Measurement and Management &lt;/a&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Track proposed by:&lt;/strong&gt;  François Vernadat, Lamia Berrah&lt;br /&gt;&lt;strong&gt;Abstract:&lt;/strong&gt;  Performance measurement, performance assessment and control and performance visualisation remain essential tools for efficient, effective and economic management of industrial systems. This also concerns any kind of supply chains. The aim of this track is to bring together leading experts on performance measurement and management for industrial systems to exchange ideas by making state-of-the-art analyses of their respective fields and presenting latest advances and results in their specific research domains.&lt;br /&gt;&lt;strong&gt;Code for submitting contributions: &lt;span style=&quot;color:rgb(207, 65, 47)&quot;&gt; wb2k1 &lt;/span&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Full description:&lt;/strong&gt;  &lt;a href=&quot;https://www.ifac2017.org/sites/www.ifac2017.org/files/IFAC17_0058_MS_TC52.pdf&quot;&gt;PDF&lt;/a&gt;&lt;/p&gt;
&lt;hr /&gt;&lt;p&gt;&lt;strong&gt;Title: &lt;a href=&quot;https://www.ifac2017.org/OIT#4x18n&quot;&gt; System identification for manufacturing control applications&lt;/a&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Track proposed by:&lt;/strong&gt;  Vladimir Lototsky, Natalia Bakhtadze, Kirill Chernyshov, Elena Jharko&lt;br /&gt;&lt;strong&gt;Abstract:&lt;/strong&gt;  The SIMCA Open Invited Track is aimed to bring together scientists working in all branches of control theory to discuss, in the light of manufacturing control problems, issues relating to development of the theory and methodology of identification, corresponding mathematical problems, parameter and non-parametric identification, structure identification and expert analysis, problems of selection and data analysis, control systems with an identifier, identification in intelligent systems, simulation procedures and software for identification and modeling, cognitive issues of identification, verification and problems of software quality for complex systems, global network resources of support processes of identification, modeling, and control.&lt;br /&gt;&lt;strong&gt;Web site: &lt;/strong&gt; &lt;a href=&quot;http://simca.sicpro.org&quot;&gt;http://simca.sicpro.org&lt;/a&gt;&lt;br /&gt;&lt;strong&gt;Code for submitting contributions: &lt;span style=&quot;color:rgb(207, 65, 47)&quot;&gt; 4x18n &lt;/span&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Full description:&lt;/strong&gt;  &lt;a href=&quot;https://www.ifac2017.org/sites/www.ifac2017.org/files/IFAC17_0057_MS_TC54.pdf&quot;&gt;PDF&lt;/a&gt;&lt;/p&gt;
&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description>
 <pubDate>Fri, 22 Jul 2016 08:39:44 +0000</pubDate>
 <dc:creator>peaucell</dc:creator>
 <guid isPermaLink="false">115 at https://www.ifac2017.org</guid>
 <comments>https://www.ifac2017.org/article/4-new-published-open-invited-tracks#comments</comments>
</item>
<item>
 <title>3 new Invited Tracks: LPV systems, Water systems, Nonlinear Identification Challenges</title>
 <link>https://www.ifac2017.org/article/3-new-invited-tracks-lpv-systems-water-systems-nonlinear-identification-challenges</link>
 <description>&lt;div class=&quot;field field-name-field-tags field-type-taxonomy-term-reference field-label-above clearfix&quot;&gt;&lt;h3 class=&quot;field-label&quot;&gt;Tags: &lt;/h3&gt;&lt;ul class=&quot;links&quot;&gt;&lt;li class=&quot;taxonomy-term-reference-0&quot; rel=&quot;dc:subject&quot;&gt;&lt;a href=&quot;/%C3%A9tiquettes/open-invited-tracks&quot; typeof=&quot;skos:Concept&quot; property=&quot;rdfs:label skos:prefLabel&quot; datatype=&quot;&quot;&gt;Open Invited Tracks&lt;/a&gt;&lt;/li&gt;&lt;li class=&quot;taxonomy-term-reference-1&quot; rel=&quot;dc:subject&quot;&gt;&lt;a href=&quot;/%C3%A9tiquettes/applications&quot; typeof=&quot;skos:Concept&quot; property=&quot;rdfs:label skos:prefLabel&quot; datatype=&quot;&quot;&gt;Applications&lt;/a&gt;&lt;/li&gt;&lt;li class=&quot;taxonomy-term-reference-2&quot; rel=&quot;dc:subject&quot;&gt;&lt;a href=&quot;/%C3%A9tiquettes/challenge&quot; typeof=&quot;skos:Concept&quot; property=&quot;rdfs:label skos:prefLabel&quot; datatype=&quot;&quot;&gt;Challenge&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div class=&quot;field field-name-body field-type-text-with-summary field-label-hidden&quot;&gt;&lt;div class=&quot;field-items&quot;&gt;&lt;div class=&quot;field-item even&quot; property=&quot;content:encoded&quot;&gt;&lt;p&gt;The number of open invited tracks increased again. Reaches 23. Here are the latest 3 submitted ones.&lt;/p&gt;
&lt;p&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#biii1&quot;&gt;Linear Parameter Varying Systems: modelling, analysis, observation, control, diagnosis and applications&lt;/a&gt;&lt;br /&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#91w85&quot;&gt;Control and Supervision of water systems&lt;/a&gt;&lt;br /&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#u5979&quot;&gt;Nonlinear System Identification Benchmarks&lt;/a&gt;&lt;/p&gt;
&lt;p&gt; &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Title: &lt;a href=&quot;https://www.ifac2017.org/sites/www.ifac2017.org/files/IFAC17_0024_MS_TC22.pdf&quot;&gt;Linear Parameter Varying Systems: modelling, analysis, observation, control, diagnosis and applications&lt;/a&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Track proposed by:&lt;/strong&gt;  Roland Tóth, Olivier Sename&lt;br /&gt;&lt;strong&gt;Abstract:&lt;/strong&gt;  Linear Parameter Varying systems have state space representations that depend on time-varying parameters. This class of systems allows representing several types of systems such as non-linear systems, switching systems, multi-models… This track aims at presenting recent results in the field of LPV systems and applications. The topics will cover several areas concerning LPV systems: modelling, analysis, observation, control and diagnosis. Some of the important keywords include:&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;Modelling and Identification of LPV systems How to obtain LPV systems from: nonlinear systems, switching systems, time-delay systems, sampled-data systems, systems with saturation, uncertain systems, polynomial systems…&lt;/li&gt;
&lt;li&gt;Model reduction for LPV systems&lt;/li&gt;
&lt;li&gt;Analysis of LPV systems: stability and stabilization, robustness issues, geometric approaches, structural analysis&lt;/li&gt;
&lt;li&gt;Observation, Control of LPV systems: Observer design, Hinf control, optimal control, Model Predictive Control, virtual reference feedback tuning…&lt;/li&gt;
&lt;li&gt;Fault Diagnosis and Fault-tolerant control of LPV systems: fault detection, fault estimation, fault tolerant control ...&lt;/li&gt;
&lt;li&gt;Applications Automotive, aerospace, robotics, chemical processes, biological systems, energy and nuclear, network controlled-systems...&lt;/li&gt;
&lt;/ul&gt;&lt;p&gt;&lt;strong&gt;Code for submitting contributions: &lt;span style=&quot;color:rgb(207, 65, 47)&quot;&gt; biii1&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;hr /&gt;&lt;p&gt;&lt;strong&gt;Title:  &lt;a href=&quot;https://www.ifac2017.org/sites/www.ifac2017.org/files/IFAC17_0025_MS_TC15.pdf&quot;&gt;Control and Supervision of water systems&lt;/a&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Track proposed by:&lt;/strong&gt; L. Lefevre, J. M. Maestre, C. Ocampo-Martinez, E. Duviella&lt;br /&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; Water systems are in the center of Human societies. Water resource is used for drinking water, irrigation, industry, transport. It has to be valorized after its use thanks to waste treatment systems. In several parts of the world, the management of water systems will be impacted by climate change. The scarcity and the precious value of water will be increased in a close future. Hence, the efficient management of water systems is still an ongoing challenge for the Automatic Control community. Whatever is the considered water system (irrigation canals, inland navigation networks, drinking water networks, sewage systems…), it is still necessary to improve existing models (predictive model, model dealing with uncertainties), monitoring schemes, control algorithms, supervision techniques (detection and isolation of faults, quality), prognostic methods (forecasting of future states), management strategies dealing with several and often inconsistent objectives. The design of efficient water management strategies can gather multidisciplinary activities with researchers from computer sciences (machine learning, Artificial Intelligence) and control theory. This track offers the opportunity to exchange ideas and interact between researchers and water managers. Topics of the track include but are not limited to:&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;Modeling of large-scale systems (physical-based or data-based models),&lt;/li&gt;
&lt;li&gt;Robust/Adaptive control,&lt;/li&gt;
&lt;li&gt;Model predictive control,&lt;/li&gt;
&lt;li&gt;Centralized or decentralized/distributed control,&lt;/li&gt;
&lt;li&gt;Nonlinear control,&lt;/li&gt;
&lt;li&gt;Fault detection and isolation,&lt;/li&gt;
&lt;li&gt;Prognosis,&lt;/li&gt;
&lt;li&gt;Optimization approaches,&lt;/li&gt;
&lt;li&gt;Hierarchical management/control schemes,&lt;/li&gt;
&lt;li&gt;…&lt;/li&gt;
&lt;/ul&gt;&lt;p&gt;&lt;strong&gt;Code for submitting contributions: &lt;span style=&quot;color:rgb(207, 65, 47)&quot;&gt; 91w85&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;hr /&gt;&lt;p&gt;&lt;strong&gt;Title: &lt;a href=&quot;https://www.ifac2017.org/sites/www.ifac2017.org/files/IFAC17_0026_MS_TC11.pdf&quot;&gt;Nonlinear System Identification Benchmarks&lt;/a&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;Track proposed by:&lt;/strong&gt; M. Schoukens, J-P. Noël&lt;br /&gt;&lt;strong&gt;Abstract:&lt;/strong&gt;  This open invited track is structured around three benchmark systems featuring state-of-the-art challenges in nonlinear system identification, namely dynamic nonlinearity, process noise, and short data record. They are a Bouc-Wen hysteretic system, a Wiener-Hammerstein system with process noise, and a cascaded tanks setup, respectively. The invited track website functions as a platform providing detailed information regarding the three benchmark problems, and making available numerical and experimental data sets together with identification and validation guidelines. The invited track follows the success of the Workshop on Nonlinear System Identification Benchmarks organised in Brussels, April 25-27, 2016, on the same subject. Solicited contributions should describe solutions to one or several of these benchmark problems. In particular, comparative overviews of methods would be particularly appreciated. The objective of this invited track is to advance the current knowledge in nonlinear system identification by encouraging the exchange of ideas and the establishment of formal collaborations between the systems and control, mechanical and machine learning communities. These three communities have developed over the years various and numerous nonlinear modeling approaches driven by the different backgrounds, constraints and end-uses. Moreover, they generally focus on different aspects of the modeling problem as they face different limiting factors in terms of model quality and identification cost. This is why we believe that, by promoting interaction through the benchmark setups, significant benefit can be mutually gained.&lt;br /&gt;&lt;strong&gt;Web site: &lt;/strong&gt;&lt;a href=&quot;http://homepages.vub.ac.be/mschouke/IFAC2017_BenchmarkTrack.html&quot;&gt;http://homepages.vub.ac.be/mschouke/IFAC2017_BenchmarkTrack.html&lt;/a&gt;&lt;br /&gt;&lt;strong&gt;Code for submitting contributions: &lt;span style=&quot;color:rgb(207, 65, 47)&quot;&gt; u5979&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description>
 <pubDate>Tue, 10 May 2016 13:00:28 +0000</pubDate>
 <dc:creator>peaucell</dc:creator>
 <guid isPermaLink="false">92 at https://www.ifac2017.org</guid>
 <comments>https://www.ifac2017.org/article/3-new-invited-tracks-lpv-systems-water-systems-nonlinear-identification-challenges#comments</comments>
</item>
<item>
 <title>20 Submitted Open Invited Tracks</title>
 <link>https://www.ifac2017.org/article/20-submitted-open-invited-tracks</link>
 <description>&lt;div class=&quot;field field-name-field-tags field-type-taxonomy-term-reference field-label-above clearfix&quot;&gt;&lt;h3 class=&quot;field-label&quot;&gt;Tags: &lt;/h3&gt;&lt;ul class=&quot;links&quot;&gt;&lt;li class=&quot;taxonomy-term-reference-0&quot; rel=&quot;dc:subject&quot;&gt;&lt;a href=&quot;/%C3%A9tiquettes/open-invited-tracks&quot; typeof=&quot;skos:Concept&quot; property=&quot;rdfs:label skos:prefLabel&quot; datatype=&quot;&quot;&gt;Open Invited Tracks&lt;/a&gt;&lt;/li&gt;&lt;li class=&quot;taxonomy-term-reference-1&quot; rel=&quot;dc:subject&quot;&gt;&lt;a href=&quot;/%C3%A9tiquettes/demonstrators&quot; typeof=&quot;skos:Concept&quot; property=&quot;rdfs:label skos:prefLabel&quot; datatype=&quot;&quot;&gt;Demonstrators&lt;/a&gt;&lt;/li&gt;&lt;li class=&quot;taxonomy-term-reference-2&quot; rel=&quot;dc:subject&quot;&gt;&lt;a href=&quot;/%C3%A9tiquettes/applications&quot; typeof=&quot;skos:Concept&quot; property=&quot;rdfs:label skos:prefLabel&quot; datatype=&quot;&quot;&gt;Applications&lt;/a&gt;&lt;/li&gt;&lt;li class=&quot;taxonomy-term-reference-3&quot; rel=&quot;dc:subject&quot;&gt;&lt;a href=&quot;/%C3%A9tiquettes/challenge&quot; typeof=&quot;skos:Concept&quot; property=&quot;rdfs:label skos:prefLabel&quot; datatype=&quot;&quot;&gt;Challenge&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div class=&quot;field field-name-body field-type-text-with-summary field-label-hidden&quot;&gt;&lt;div class=&quot;field-items&quot;&gt;&lt;div class=&quot;field-item even&quot; property=&quot;content:encoded&quot;&gt;&lt;p&gt;The number of submitted Open Invited Tracks reached 20! Among these: 2 concern control &lt;a href=&quot;https://www.ifac2017.org/demonstrators&quot;&gt;demonstrators&lt;/a&gt;, 2 are control application driven, and one is an industrial challenge.&lt;/p&gt;
&lt;table style=&quot;width:100%&quot; border=&quot;1&quot; cellpadding=&quot;1&quot; cellspacing=&quot;1&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;th scope=&quot;col&quot; style=&quot;text-align:left&quot;&gt;Title&lt;/th&gt;
&lt;th scope=&quot;col&quot; style=&quot;text-align:left&quot;&gt; &lt;/th&gt;
&lt;th scope=&quot;col&quot; style=&quot;text-align:left&quot;&gt;Code&lt;/th&gt;
&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#yb11w&quot;&gt;Interval estimation applied to diagnosis and control of uncertain systems&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;yb11w&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#5317s&quot;&gt;Simple Adaptive Control&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;5317s&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#5mny2&quot;&gt;Modelling, identification and control of quantum systems &lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;5mny2&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#v263i&quot;&gt;Dependable Control of Discrete Systems&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;v263i&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#t38qn&quot;&gt;Diagnosis Techniques on Discrete Event Systems&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;t38qn&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#f9s43&quot;&gt;Tools and demonstrators for Discrete Event and Hybrid Systems&lt;/a&gt;&lt;/td&gt;
&lt;td&gt;Demonstrators&lt;/td&gt;
&lt;td&gt;f9s43&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#179fp&quot;&gt;Event-triggered and self-triggered control&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;179fp&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#td3e1&quot;&gt;Time-Delays and PDEs&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;td3e1&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#qc7gv&quot;&gt;Flow control strategies and applications&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;qc7gv&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#6ad17&quot;&gt;Multi-objective optimization techniques in control systems engineering&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;6ad17&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#6bipx&quot;&gt;Analysis, Numerics, Control of Nonsmooth and Set-Valued Dynamical Systems&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;6bipx&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#1w92k&quot;&gt;A Civilian Aircraft Landing Challenge&lt;/a&gt;&lt;/td&gt;
&lt;td&gt;Challenge&lt;/td&gt;
&lt;td&gt;1w92k&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#xiqyk&quot;&gt;Recent trends in modeling, estimation and control with PDEs&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;xiqyk&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#18y9d&quot;&gt;Cyber-physical systems for future industrial systems&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;18y9d&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#5767b&quot;&gt;Intelligent decision systems in the wood-products industry&lt;/a&gt;&lt;/td&gt;
&lt;td&gt;Applications&lt;/td&gt;
&lt;td&gt;5767b&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#849f1&quot;&gt;IS alignment for Enterprise Resource Planning systems&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;849f1&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#t167v&quot;&gt;Control of Airborne Wind Energy Systems&lt;/a&gt;&lt;/td&gt;
&lt;td&gt;Applications&lt;/td&gt;
&lt;td&gt;t167v&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#t8phq&quot;&gt;Control and coordination for synchromodal transport systems&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;t8phq&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#3nr6q&quot;&gt;Exhibition of Demonstrators for Educational purposes in Control sciences&lt;/a&gt;&lt;/td&gt;
&lt;td&gt;Demonstrators&lt;/td&gt;
&lt;td&gt;3nr6q&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=&quot;https://www.ifac2017.org/OIT#92p23&quot;&gt;GdR MACS Young PhD researchers - track of extended abstracts&lt;/a&gt;&lt;/td&gt;
&lt;td&gt; &lt;/td&gt;
&lt;td&gt;92p23&lt;/td&gt;
&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;p&gt;To submit a contribution to an open invited track, follow the &lt;a href=&quot;https://www.ifac2017.org/submit&quot;&gt;submission procedure&lt;/a&gt; using the given track code. Contributions can be IFAC-standard papers, surveys or extended abstracts. See the &lt;a href=&quot;https://www.ifac2017.org/call4papers&quot;&gt;call for papers&lt;/a&gt; for details about submission types and categories.&lt;/p&gt;
&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description>
 <pubDate>Mon, 02 May 2016 14:58:54 +0000</pubDate>
 <dc:creator>peaucell</dc:creator>
 <guid isPermaLink="false">91 at https://www.ifac2017.org</guid>
 <comments>https://www.ifac2017.org/article/20-submitted-open-invited-tracks#comments</comments>
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