Special Issue on Intelligent Decision Making, Motion Planning and Control of Automated Vehicles in Interaction-driven Traffic Scenarios Guest Editors: Alexander Katriniok (lead) Emilia Silvas (lead) Saverio Bolognani Francesco Borrelli Yuxiao Chen Anouck Girard Jana Tumova Mario Zanon With an increasing level of automation, automated vehicles (AVs) require more advanced decision making and motion planning schemes (hereafter referred to as planning) and control methods to operate in challenging traffic scenarios. Especially in dense road traffic, interaction-aware behavior becomes more crucial for AVs such as to main a certain level of performance (prevent the AV from getting stuck) while guaranteeing safety (avoid collisions) at the same time. Experienced human drivers perform very well on anticipating other road users’ (re)actions, based on their own actions, and acting accordingly. For automated systems it is still a challenge to perform in a human-like proactive manner. Consequently, planning and control schemes should be designed such as to mimic these capabilities while providing rigorous safety guarantees. There are various ways to achieve this goal, e.g., through optimization-based planning and control schemes that are robust or stochastic, accommodate interactions and potentially involve (active) learning from data to continuously improve performance while collecting data on the road. That said, this special issue addresses open research questions, novel methods, and recent advancements (relevant to the controls community) to solve AV planning and control problems in challenging multi-actor and interaction-driven traffic scenarios, such as lane changing/merging scenarios, intersections, roundabouts, or unstructured environments. Topics relevant to the special issue include (but are not limited to): Planning for and control of automated and autonomous vehicles Interaction-aware planning and control Utilization of context modeling and prediction models in planning and control to enable scalability, safer and more efficient driving Generalization of planning and control schemes to multiple scenarios (avoiding strong scenario-dependency) Communication-enabled planning and control (e.g., through V2X communication) Robustness of planning and control schemes to functional insufficiencies in perception, world modeling and localization Prediction- and optimization-based planning and control Safe active learning for planning and control Robust, stochastic, and risk-averse planning and control All submitted papers must be relevant to the control community and convey technological advances, which are either validated in realistic/high fidelity simulations or in experiments. Only regular papers may be submitted to and will be considered for the special issue. Contributions should be original and not be under consideration elsewhere for publication. The authors should follow the journal guidelines, regarding the manuscript content and its format. Manuscripts submitted for inclusion in this special issue will be handled by a panel of Guest Editors and will go through a peer review process to assess their suitability in terms of technical novelty, scientific rigor, scope, and relevance, in accordance with the established practices of the IEEE Transactions on Control Systems Technology. Manuscripts that are deemed unsuitable for the special issue will be returned to the authors and may not be resubmitted or considered for publication outside the special issue without approval from the Editor-in-Chief. Authors are kindly invited to submit their manuscripts via the IEEE Transactions on Control Systems Technology submission portal: https://css.paperplaza.net/journals/tcst/scripts/login.pl Timeline: Submission Site Opens: June 1, 2023 First Submission Deadline: October 31, 2023 Revised Paper Submission Deadline: January 31, 2024 Notification of Final Decision: March 1, 2024 Final Manuscript Submissions: April 1, 2024 Tentative Publication (online): September 2024 Deadline: Oct 31, 2023 Name: Special Issue on Intelligent Decision Making, Motion Planning and Control of Automated Vehicles in Interaction-driven Traffic Scenarios Download Special Issue on Resilient Control of Cyber Physical Power and Energy Systems Guest Editors: Veronica Adetola Masoud Abbaszadeh Quanyan Zhu Thomas Edgar Craig Rieger Roy Sandip Sai Pushpak Nandanoori Our power and energy systems are becoming more and more integrated and interconnected. The increasing integration of edge devices and dependence on cyber infrastructure provides both the potential for benefits and risks. The integration is enabling more dynamic and flexible control paradigms while at the same time increasing the cyber-attack surface and uncertainty of behavior. Control methodology in this new world must be designed for resilience and must have the ability to withstand, react, and respond to both physical faults and cyber-induced threats. Understanding system resilience under adverse conditions requires studying control performance and how cyber infrastructure can integrate with and support the overall resilience of control applications. This special issue aims to capture the state of the art in device-and system-level control methods for assured power and energy system resilience and cutting-edge methods to measure, predict and validate CPS resilience performance. Application areas of interest include (but are not limited to): Smart grid Power generation and transmission systems Microgrids Energy storage Distributed energy resources Grid edge technologies Topics relevant to the special issue include (but are not limited to): Modeling of processes under adverse conditions for resilient control Resilience performance metrics and their applications to control problems Distributed control methods that guarantee system-wide resilience Data-driven resilient estimation and control methods deployable at the device- or system-level Adaptive estimation, control, and coordination methods with situational awareness Robust control of networked systems promoting resilience while accounting for inherent uncertainties Experimental methodology to assess and/or validate control system resilience Uncertainty quantification around ‘black swan’ / extreme low occurrent events Benchmark datasets and resilient control test case scenarios Experimental evaluation of system resilience All papers submitted to the special issue will be subjected to peer review in accordance with the established practices of the IEEE Transactions on Control Systems Technology. Only Regular Papers may be submitted to, and will be considered for, the special issue. Manuscripts submitted to TCST for inclusion in the special issue will be handled by a panel of Guest Editors, and screened for compliance with the scope of the special issue, as detailed in the Call for Papers. Manuscripts that are deemed unsuitable for the special issue will be returned to the authors and may not be resubmitted or considered for publication outside the special issue without approval from the Editor- in-Chief. Authors are invited to submit their manuscripts via the Transactions submission portal https://css.paperplaza.net/journals/tcst/scripts/login.pl Submission Site Opens: October 1, 2022 Paper Submission Deadline: March 30, 2023 Notification of Final Decision: September 30, 2023 Final Manuscript Submissions: October 31, 2023 Special Issue Publication: January 2024 Deadline: Mar 30, 2023 Name: CFP Resilient Control of Cyber Physical Power and Energy Systems Download Special Issue on State-of-the-art Applications of Model Predictive Control Guest Editors Fabrizio Dabbene Mark Cannon Mohammadreza Chamanbaz Alf Isaksson Martina Mammarella Davide Raimondo Advancements in computing hardware and refinements of numerical solvers for convex optimization problems have prompted a burst of interest in the utilization of Model Predictive Control (MPC) to a myriad challenging control problems and scenarios. Undoubtedly, the tremendous success enjoyed by model-predictive controllers across a wide variety of industrial and technological settings is ascribable to the potential for optimizing performance while guaranteeing systems constraints satisfaction via recursive online optimization. This unique capability represents a most appealing feature in contexts where autonomy, safety, reliability, flexibility, and cost-effectiveness are important or essential requirements. Fueled by the growing success of MPC as a powerful and versatile tool, both in traditional and unconventional control domains, this special issue aims at providing a comprehensive snapshot of the state of the art of advanced applications of Model Predictive Control. On one hand, emphasis will be given to highlighting the benefits provided by the MPC techniques within the context of a given technological problem; on the other hand, to unveiling the challenges encountered when implementing novel theoretical findings to problems with stringent performance specifications and constraints. Within the special issue, the reader will be presented with demanding applications where different MPC techniques have been developed or tailored to achieve the required objectives while abiding by available computational resources. Topics relevant to the special issue include (but are not limited to) the following application areas: Aerospace Agriculture 4.0 Automotive Biotechnology Chemical Process Building and Facility Automation Embedded Systems Energy Systems Healthcare Infrastructures Marine Systems Networks Power Converters and Batteries Robotics Water Systems Submitted articles are expected to present advancements in the MPC design and practice, driven by the specific needs of the considered applications. Off-the-shelf applications of standard MPC schemes with no added value will not be considered. Experimental validation of the proposed design is preferable, but numerical validation based on realistic simulation environments may be also considered. Only Regular Papers may be submitted to the special issue. Authors are invited to submit their manuscripts via the Transactions submission portal at https://css.paperplaza.net/journals/tcst/scripts/login.pl. Deadlines Extended Submission Site Opens: January 1, 2022 Paper Submission Deadline: September 17, 2022 Notification of Final Decision: March 15, 2023 Final Manuscript Submissions: April 15, 2023 Special Issue Publication: Autumn 2023 Download Call for Papers
