CSS Day 2024 Presentations

1. Welcome Message - Ian Petersen
2. Presidents Forum - Magnus Egerstedt, Ed Chong , Yutaka Yamamoto, Francesco Bullo, Anu Annaswamy
3. Women in control in the past, over 30 years earlier - Bozenna PasikDuncan, Molly Shor, Linda Bushnel, Antonella Ferrara
4. Women in Control now in celebration of the 30th Anniversary of the CSS Women in Control Committee - Afef Fekih, Dennice Gayme 
5. Women in Control in the future, 5 and 10 years later - Jing Sun and Carolyn Beck
6. Round Table Discussion - Bozenna PasikDuncan, Molly Shor, Linda Bushnell,Afef Fekih, Dennice Gayme,Jing Sun and Carolyn Beck
7. Stochastic Systems and Control TC - Cinzia Da Via
8. Strong Partnership with other Communities and Social Implications of Technology Matter - Luis G. Kun
9. Data-driven, constraint-aware control of dynamical systems: Stochastic Systems and Control TC - Dominique Duncan
10. Safety of AI - Yutaka Yamamoto
11. Resilient Control for Cyber-Physical Energy Systems - Veronica Adetola
12. From Automation to Optimization: Leveraging Modular Control Systems to Build Climate-Friendly Factories - Riddhi Padariya
13. Carbon-Aware Computing: How to Get Power Systems and Data Centers to Talk to Each Other - Vladimir Dvorkin
14. NeuroMANCER: Physics-informed Machine Learning Library for Data-driven Optimization, Modeling, and Control - Jan Drgona
15. Physics-informed ML methods for predictive modeling and control - Draguna Vrable
16. Simultaneous Planning, Control and Safety for naturally inducing trajectories to navigate in crowds - Atreyee Kundu
17. Emergent behaviours and collective decisions in cyber-physical systems - Karl Johansson
18. PDE backstepping: The first 25 years - Miroslav Krstic
19. From consensus to coordination of Heterogeneous Multi-agent Systems - Hyungbo Shim
20. Robustness of feedback systems - Malcolm C. Smith
21. Transition from academia to industry (or the opposite) - Lidia Auret
22. Driving Towards a Greener Future with Electric Vehicle Motor Drive Innovations - Dr. Xin Yuan
23. Low-Cost Automation and Platooning for EVs: A Step towards Carbon neutral World - Rajnikant Sharma
24. 30 and 24 years later in Outreach at KU and AACC, CSS, IFAC - Successful Models for Outreach - Bozenna Pasik-Duncan
25. IEEE YESIST12 and IEEE RMC, Successful Model for attracting students through research based global competition, RMC - Successful Model for Retention, Motivation and Recognition - Ramalatha Marimuthu
26. IEEE SYSC Students Conference 2024 - Successful Model for engaging Students in Research Projects and Conferences - Rasanta Ghosh
27. Panel Sessions on DEIB & at Conferences, Successful Models of Bringing Awareness to DEI - Amir Aghdam
28. Why History in Teaching Stochastic Systems and Control Matters - Tyrone E. Duncan
29. Discussion Table: Reflections and Perspectives - STEM Education, Outreach, DEI, Internet, ML and AI - Afef Fekih
30. Model-free, Real-time Dynamic Optimization and Control via Extremum Seeking in Wind and Solar Systems - Sameh Eisa
31. Optimal Observer-Based Control of Clean Energy Systems - Dr. Gianmario Rinaldi
32. Control of floating wind turbines using Sliding Mode Control - Frank Plestan
33. Driving the Future: Comparing Quality of Service Between Autonomous Vehicle Fleets and Traditional Car Sharing - Silvia Strada
34. Challenges of Carbon-Neutral Power Systems - Prof. Rodrigo Palm Behnke
35. Biochemical Reaction Networks - Mustafa Khammash
36. Road Traffic Control: Past Present and Future - Markos Papageorgiou
37. Material discovery using artificial intelligence - Bhushan Gopaluni
38. Robust control of cybermedical systems - Levent Kovacs and Daniel Andras Drexler
39. Safe control and estimation with coarse measurements - Sayan Mitra
40. Advances in Battery State of Health (SOH) estimation for electric vehicles: towards predictions of remaining useful life and safety indicators - Alexander Katriniok
41. Control Challenges in Fuel Cell Electric Trucks: An Overview - Lars Eriksson
42. From ACE Technologies to Sustainable Urban Mobility: An Optimization Journey - Mauro Salazar
43. Short Talks - Gokhan Inalhan
44. From high gain adaptive control to funnel control - Stephan Trenn
45. System theoretic methods in quantum information: Review and opportunities - Francesco Ticozzi
46. Control of open quantum systems - Nina Amini
47. Quantum control using ensemble quantization - Jr-Shin Li
48. How to become involved with CSS and Nextcom - Francesca Parise
49. Panel Discussion: How to shape your career in control - Alberto Padoan
50. Unlocking Floating Offshore Wind Potential: Layout Modification for Power Maximization - Yue Niu
    Abstract: Floating offshore wind energy is a promising alternative to fossil fuels for reducing carbon emissions and mitigating climate change. However, the cost associated with it remains considerably high. To address this issue, wind farm control has the potential to play a key role by operating wind turbines intelligently and cooperatively within a wind farm. This study proposes a floating offshore wind farm controller that dynamically moves wind turbines for power maximization.
51. Adaptive digital twin identification with control: An extended Kalman filter-based sparse nonlinear identification approach - Jingyi Wang
    Abstract: The digital twin technique provides a transformative approach for managing and optimizing physical systems through their digital counterparts. In this presentation, we explore the digital twin construction from a mathematical perspective. By integrating the recursive sparse nonlinear identification with advanced process control, a standardized digital twin development framework is established.
52. A Path Feasibility Governor for Model Predictive Control - Shu (Serena) Zhang
    Abstract: Model Predictive Control (MPC) is widely used in various applications, but large changes in the reference command can make the optimal control problem (OCP) infeasible. Previous solutions are either computationally expensive (e.g., increasing the prediction horizon), require modifications to the OCP, or make strong convexity assumptions, limiting their use in motion planning problems which are typically non-convex. We propose the Path Feasibility Governor (PathFG), an add-on unit that seamlessly integrates a short-horizon MPC controller with a global path planner. This method handles non-convex constraints and requires no modifications to the path planner or controller. A numerical example is provided that ensures real-time stability and and admissibility in point-to-point transition of the quadrotor in an obstacle-cluttered environment.
53. Exact Learning of Model Predictive Control Laws via Oblique Decision Trees with Linear Models - Jiayang Ren
    Abstract: Model Predictive Control (MPC) is widely used in the process industry for its ability to handle multivariable systems with constraints. However, its real-time computational demands can be prohibitive, especially for systems with fast dynamics or limited computational resources. To address this challenge, we propose a method to learn MPC control laws offline using oblique decision trees (DTs) with linear models. This approach leverages the inherent structure of MPC laws, learning them as decision trees with interpretable if-else rules, making the control strategy more transparent for engineers. Additionally, the data-driven nature of the method allows for scalability, overcoming the limitations of Explicit MPC in large-scale systems. To efficiently compute the optimal DTs, we introduce a gradient-based algorithm that utilizes GPU acceleration. This method significantly reduces the online computational time while maintaining the accuracy of the MPC control laws, as demonstrated through various case studies.
54. Data-Driven Safety Filter: An Input-Output Perspective - Mohammad Bajelani
    Abstract: Implementation of learning-based control remains challenging due to the absence of safety guarantees. Safe control methods have turned to model-based safety filters to address these challenges, but this is paradoxical when the ultimate goal is a model-free, data-driven control solution. Addressing the core question of “Can we ensure the safety of any learning-based algorithm without explicit prediction models and state estimation?”, we propose a Data-Driven Safety Filter (DDSF) grounded in Behavioral System Theory. The proposed method needs only a single system trajectory available in an offline dataset to modify unsafe learning inputs to safe inputs. This contribution addresses safe control in the input-output framework and therefore does not require full state measurements or explicit state estimation. Since no explicit model is required, the proposed safe control solution is not affected by unmodeled dynamics and unstructured uncertainty and can provide a safe solution for deterministic Linear Time-Invariant (LTI) systems with unknown time delays. To extend DDSF to short-sighted scenarios, we propose online and offline sample-based methods to expand the input-output safe set iteratively.
55. Detection and Isolation of Covert Cyber Attacks Using Decentralized and Distributed Dynamic Observers - Saeed Ansari Rad
    Abstract: This talk introduces an innovative detection and isolation scheme designed to address covert cyberattacks in highly interconnected systems, characterized by both physical and cyber interconnections. The proposed scheme utilizes two types of observers: decentralized dynamic observers and distributed dynamic observers. By leveraging the combination of these observers, the approach effectively detects covert attacks that manipulate control commands and sensor measurements to evade detection. This scheme significantly enhances detection efficiency while reducing computational costs, offering a robust solution for mitigating threats in complex networked environments.