Road Map 2023 Videos Introduction to Road Map 2030 Societal Drivers Technological Trends Emerging Methodologies Technology Validation and Translation Education Ethics, Fairness, and Regulatory Issues Road Map 2030 - A recap Panel Session on "Control for Societal-Scale Challenges: Road Map 2030" at the IFAC World Congress, July 10th, 2023. Control for Societal-scale Challenges: Road Map 2030 Edited by: Anuradha M. Annaswamy, Karl H. Johansson, and George J. Pappas PDF Flipbook Print-on-Demand The world faces some of its greatest challenges of modern time and how we address them will have a dramatic impact on the life for generations to come. Simultaneously, control systems, consisting of information enriched by various degrees of analytics followed by decision-making, are pervading a variety of sectors, not only in engineering but beyond, into financial services, socio-economic analysis, entertainment and sports, and political and social sciences. Increased levels of automation are sought after in various sectors and being introduced into new domains. All of these advances and transformations urge a shift in the conversation toward how control systems can meet grand societal- scale challenges. The document seeks to chart a roadmap for the evolution of control systems, identifying several areas where our discipline can have an impact over the next decade. Suggested Citation: Control for Societal-scale Challenges: Road Map 2030, Eds. A. M. Annaswamy, K. H. Johansson, and G. J. Pappas, IEEE Control Systems Society Publication, 2023, https://ieeecss.org/control-societal-scale-challenges-roadmap-2030 Authors Andrew Alleyne, Frank Allgöwer, Aaron D. Ames, Saurabh Amin, James Anderson, Anuradha M. Annaswamy, Panos J. Antsaklis, Neda Bagheri, Hamsa Balakrishnan, Bassam Bamieh, John Baras, Margret Bauer, Alexandre Bayen, Paul Bogdan, Steven L. Brunton, Francesco Bullo, Etienne Burdet, Joel Burdick, Laurent Burlion, Carlos Canudas de Wit, Ming Cao, Christos G. Cassandras, Aranya Chakrabortty, Giacomo Como, Marie Csete, Fabrizio Dabbene, Munther Dahleh, Amritam Das, Eyal Dassau, Claudio De Persis, Mario di Bernardo, Stefano Di Cairano, Dimos V. Dimarogonas, Florian Dörfler, John C. Doyle, Francis J. Doyle III, Anca Dragan, Magnus Egerstedt, Johan Eker, Sarah Fay, Dimitar Filev, Angela Fontan, Elisa Franco, Masayuki Fujita, Mario Garcia-Sanz, Dennice Gayme, Wilhelmus P.M.H. Heemels, João P. Hespanha, Sandra Hirche, Anette Hosoi, Jonathan P. How, Gabriela Hug, Marija Ilić, Hideaki Ishii, Ali Jadbabaie, Matin Jafarian, Samuel Qing-Shan Jia, Tor Arne Johansen, Karl H. Johansson, Dalton Jones, Mustafa Khammash, Pramod Khargonekar, Mykel J. Kochenderfer, Andreas Krause, Anthony Kuh, Dana Kulić, Françoise Lamnabhi-Lagarrigue, Naomi E. Leonard, Frederick Leve, Na Li, Steven Low, John Lygeros, Iven Mareels, Sonia Martinez, Nikolai Matni, Tommaso Menara, Katja Mombaur, Kevin Moore, Richard Murray, Toru Namerikawa, Angelia Nedich, Sandeep Neema, Mariana Netto, Timothy O’Leary, Marcia K. O’Malley, Lucy Y. Pao, Antonis Papachristodoulou, George J. Pappas, Philip E. Paré, Thomas Parisini, Fabio Pasqualetti, Marco Pavone, Akshay Rajhans, Gireeja Ranade, Anders Rantzer, Lillian Ratliff, J. Anthony Rossiter, Dorsa Sadigh, Tariq Samad, Henrik Sandberg, Sri Sarma, Luca Schenato, Jacquelien Scherpen, Angela Schoellig, Rodolphe Sepulchre, Jeff Shamma, Robert Shorten, Bruno Sinopoli, Koushil Sreenath, Jakob Stoustrup, Jing Sun, Paulo Tabuada, Emma Tegling, Dawn Tilbury, Claire J. Tomlin, Jana Tumova, Kevin Wise, Dan Work, Junaid Zafar, Melanie Zeilinger Sponsors 1: Introduction 2: Societal Drivers 2.A Climate Change Mitigation and Adaptation 2.A.1 Introduction 2.A.2 Climate Change: the 2022 View 2.A.3 Targets of Opportunity for Control Systems Scientists and Engineers 2.A.4 Broader Perspectives 2.B Healthcare and Ensuring Quality of Life 2.B.1 Introduction 2.B.2 Current Perspectives on Healthcare and Quality of Life 2.B.3 Targets of Opportunity for Control Systems Scientists and Engineers 2.C Smart Infrastructure Systems 2.C.1 Introduction 2.C.2 Drivers: Infrastructure Systems Undergoing Digital Transformation 2.C.3 Opportunities for Control 2.C.4 Recommendations 2.D The Sharing Economy 2.D.1 Introduction 2.D.2 The Sharing Economy and Control 2.D.3 Where Can Control Make a Difference? 2.D.4 Long-Term Challenges 2.E Resilience of Societal-scale Systems 2.E.1 Introduction 2.E.2 Challenges and Opportunities 2.E.3 Recommendations Appendices A Pandemics: Modeling and Control B Neuroengineering 3: Technological Trends 3.A AI and Big Data 3.A.1 Introduction 3.A.2 Technical Trends 3.A.3 Scientific Trends 3.A.4 Challenges and Opportunities 3.B Electrify Everything 3.B.1 Introduction 3.B.2 Current Status 3.B.3 Looking Ahead 3.B.4 Targets of Opportunity for Control Systems Scientists and Engineers 3.B.5 Methods 3.B.6 Conclusions 3.C Engineering Biology 3.C.1 What is Engineering Biology? 3.C.2 Contributions from Control to Engineering Biology 3.C.3 Challenges and Opportunities at the Intersection of Control and Biology 3.D Robots in the Real World 3.D.1 Introduction 3.D.2 Enabling Technologies 3.D.3 Challenges for Control 4: Emerging Methodologies 4.A Learning and Data-Driven Control 4.A.1 Introduction 4.A.2 Autotuning 4.A.3 Batch Learning 4.A.4 Extremum Seeking and Learning 4.A.5 Off-Line vs. On-Line Computations 4.A.6 Parametric vs. Non-Parametric Methods 4.A.7 Partially Observable and Controllable Systems 4.A.8 Verification for Safety-Critical Applications 4.A.9 Optimal Exploration-Exploitation 4.A.10 Data-Driven Mechanism Design and Information Design 4.A.11 Learning Architectures to Support High Level Objectives 4.B Safety-Critical Systems 4.B.1 Introduction 4.B.2 Notions of Safety and Their Relation 4.B.3 The Pillars of Safety 4.B.4 Guaranteeing Safety for Systems 4.B.5 Safety for Human-in-the-Loop Systems 4.B.6 Applications and Open Challenges 4.C Resilient Cyber-Physical Systems 4.C.1 Introduction 4.C.2 Towards Resilience 4.C.3 Characterization of Disruptions 4.C.4 Automated Decision-Making for Resilience 4.C.5 Opportunities for Control 4.D Cyber-Physical-Human Systems 4.D.1 Taxonomies of CPHS 4.D.2 Computational Human Models for Prediction and Control 4.D.3 Human-Centered Control Design 4.D.4 Opportunities for Systems and Control 4.E Control Architecture 4.E.1 Introduction 4.E.2 Layered Architectures 4.E.3 Intra-Layer Control Architecture 4.E.4 A Societal-Scale Example: The Future Power Grid 4.E.5 Road Map for a Theory of Control Architecture 5: Technology Validation & Translation 5.A Introduction 5.B Engagement in Industrial Ecosystems 5.C Validation 5.D Current Status of Benchmark and Testbeds 5.E Validation Steps and Corresponding Tools 5.F Desired Features of Validation Infrastructure 5.G Translation of Research Outcomes to Innovation and Products 5.H Concluding Remarks 6: Education 6.A Present State and Future Outlook 6.B Curriculum Changes 6.B.1 Updating the First Course in Control for Broader Applicability 6.B.2 Introducing a Control Systems Course Earlier, for Broader Audiences 6.B.3 Modularizing the Teaching Experience 6.C Creating Success Stories in Curriculum Changes 7: Ethics, Fairness, and Regulatory Issues 7.A Ethics of Autonomous Systems 7.B Ethics and Fairness 7.C Regulatory Issues 7.D Intersection with control 8: Recommendations Chapter 2: Societal Drivers 2.A Climate Change Mitigation and Adaptation 2.B Healthcare and Ensuring Quality of Life 2.C Smart Infrastructure Systems 2.D The Sharing Economy 2.E Resilience of Societal-Scale Systems Chapter 3: Technological Trends 3.A AI and Big Data 3.B Electrify Everything 3.C Engineering Biology 3.D Robots in the Real World Chapter 4: Emerging Methodologies 4.A Learning and Data-Driven Control 4.B Safety-Critical Systems 4.C Resilient Cyber-Physical Systems 4.D Cyber-Physical-Human Systems 4.E Control Architecture Chapter 5: Technology Validation and Translation Chapter 6: Education, Training, and Retraining Chapter 7: Ethics, Regulatory Issues, and Interoperability Epilogue Acknowledgments Glossary Index
