1) “Nonlinear System Identification” by Prof. Arun K. Tangirala (IIT Tirupati), Dr. Prem Jagadeesan (Amrita Vishwa Vidyapeetham) and Mr. Jyotiraditya Ramaswamy (IIT Madras)
Date & Venue: December 18, 2025 09:00 – 17:30 hrs IST; G21 (TCS Smart X Hub)
Abstract: Identification of non-linear systems is crucial for modeling, prediction, and control in engineering, physics, and other data-driven areas. In this tutorial, we will give a detailed introduction to both the theory and practical methods for identifying nonlinear dynamic systems using data. Participants will learn how to build nonlinear models, understand the basic theory, apply identification algorithms, and check how well the models perform. The session will mix lectures with case studies and MATLAB demonstrations, so that concepts become clear through hands-on practice. By the end of the session, participants will not only understand the concepts, but also get hands-on experience which they can directly apply in domains such as robotics, biomedical systems, finance, and process control.
Webpage: https://iccnonlinearworkshop.github.io/icc_workshop/
2) “Safety Verification of Neural Network-Controlled Cyber-Physical Systems” by Dr. Lipsy Gupta (Kansas State University), Dr. Ratan Lal (Northwest Missouri State University) and Prof. Pavithra Prabhakar (Kansas State University)
Date & Venue: December 18, 2025 09:00 – 12:30 hrs IST; G11 (TCS Smart X Hub)
Abstract: AI-based components are increasingly being integrated into autonomous and cyberphysical systems for tasks such as control, perception, and decision-making. In particular, traditional control systems are being replaced by neural network-based controllers in safety-critical domains, including aerospace, automotive, and robotics. Ensuring the safe operation of these systems is paramount, that has prompted a growing body of research focused on the rigorous analysis of neural network-controlled cyber-physical systems. Formal verification is a branch of computer science that deals with mathematical techniques to provide guarantees on the correctness of systems. In this tutorial, we will provide a brief overview of formal verification techniques for neural network-controlled dynamical systems.
The broad goal of the tutorial is to introduce the audience to the framework of neural network-controlled dynamical systems (NN-Dyn), and provide an overview of three classes of verification techniques in this context. Specifically, we will focus on discrete-time linear systems to model the physical plant and neural network to model the controller. An execution of the system consists of a sequence of states wherein the next state is the result of the evolution of the dynamical system with input provided by the neural network controller based on the current state. Our objective is to verify properties about the executions of these systems, specifically, safety – that no execution reaches an unsafe region.
3) “Security and Privacy for Networked Cyber-Physical Systems” by Dr. Kushal Chakrabarti (TCS Research) and Dr. Dipankar Maity (University of North Carolina at Charlotte)
Date & Venue: December 18, 2025 14:00 – 17:30 hrs IST; G11 (TCS Smart X Hub)
Abstract: Cyber-Physical Systems (CPS) are at the heart of modern technological advancements, from autonomous vehicles and smart grids to medical devices and industrial automation. As these systems become increasingly interconnected and reliant on communication networks, ensuring their security and preserving the privacy of the data they handle has become a paramount concern. This tutorial will provide a comprehensive overview of the cutting-edge research in security and privacy for networked CPS, tailored for students and faculty in the control systems community in India. The session will feature three talks from leading researchers, covering the fundamental trade-offs between security and privacy, novel techniques to protect distributed learning and control systems from eavesdropping adversaries, and practical privacy challenges in drone applications.
Webpage: https://webpages.charlotte.edu/dmaity/ICC2025.html
4) “Biomolecular Systems: Clocks and Oscillations” by Dr. Shaunak Sen (IIT Delhi)
Date & Venue: December 18, 2025 14:00 – 17:30 hrs IST; G10 (TCS Smart X Hub)
Abstract: The ability to mark time is an important biological function, as evident from the wide variety of biomolecular clocks and oscillation mechanisms that have evolved to achieve this function. Because the underlying principles are an interplay of nonlinearity and feedback, both positive and negative, these topics have a strong connection with control engineering and systems theory. This interplay makes it challenging to uncover concrete design principles, rigorously compute oscillation
waveforms and even to establish the existence of oscillations. This proposal outlines a tutorial on this topic, including some recent developments. First, we propose to summarize key design principles for oscillation mechanisms, including the presence of nonlinear negative feedback with a time delay, either through a series of intermediates or with positive feedback, as well
as the division of clocks into two classes: fixed frequency, variable amplitude and fixed amplitude, variable frequency. Benchmark models of biomolecular clocks, both mathematical and experimental, would be surveyed against the backdrop of these design principles. Second, we propose to highlight classical and emerging theoretical methods to establish the existence of oscillations in such systems. These range from a classical “torus principle”, based on Brouwer’s fixed point theorem, and
a generalization of Poincare-Bendixson Theorem to emerging methods based on the theory of Co-operative Systems. Third, we propose to spotlight the shapes of the oscillation waveforms, which are typically computed using approximate numerical simulations. We will examine rigorous methods of computing these waveforms based on Interval Analysis methods. This tutorial should contribute to a systems and control perspective on clocks and oscillations in biology and related contexts.
5) “From Theory to Hardware: Control of a ‘Balance Bot‘” by Dr. Shivaram Kalyanakrishnan (e-Yantra, IIT Bombay), Prof. Kavi Arya (e-Yantra, IIT Bombay), Mr. Jaison Jose (e-Yantra, IIT Bombay), Mr. Arun P. Madhu (e-Yantra, IIT Bombay) and Mr. Jerish Abijith Singh A.S. (e-Yantra, IIT Bombay)
Date & Venue: December 18, 2025 09:00 – 12:30 hrs IST; G03 (TCS Smart X Hub)
Abstract: This workshop will be conducted by representatives from the e-Yantra project, whose stated mission is to impart hands-on skills to students in the areas of robotics and embedded systems. The goal of the tutorial is the same: to encourage and enable attendees (especially students) to translate concepts from control theory and machine learning into actual deployments in hardware. The tutorial shall complement the traditional focus of ICC on methodological advances by exposing attendees to tools and techniques on the applied side.
The tutorial will provide a technical description of “e-Yan”, a 2-wheeled “balance bot” designed by e-Yantra. The technical portion of the tutorial will take participants through a series of steps (first in simulation, then on hardware) to control the balance and navigation of e-Yan. Methods implemented will include PID, LQR, and reinforcement learning (RL).
Webpage: https://www.e-yantra.org/self-balancing-robot-workshop
6) “Advances in AI-Driven Control and Estimation for Robotics and Autonomous Systems” by Dr. Vighnesh Vatsal (TCS Research), Dr. Samrat Datta (TCS Research), Dr. Anima Majumder (TCS Research) and Dr. Koushik Das (TCS Research)
Date & Venue: December 18, 2025 09:00 – 17:30 hrs IST; G12 (TCS Smart X Hub)
Abstract: The rapid advancement of artificial intelligence (AI) is reshaping the landscape of control and estimation in complex dynamic systems especially in robotics and cyber-physical systems. This workshop aims to bring together researcher and practitioners at the intersection of control theory, artificial intelligence and robotics to explore generalized frameworks for control and estimation that are robust, scalable and adaptable to uncertain, high-dimensional and data-rich environment. Robotic systems with their nonlinear, high DOF dynamics and real-time interaction with unstructured environments provide a compelling platform for advancing and testing new-age methodologies. At the same time similar challenges arise across a wide range of complex systems – from unmanned
autonomous vehicle and power system to biological networks and industrial processes.
This workshop will cover recent developments in both model based and data-driven approaches, including reinforcement learning, adaptive and robust control, observer design, distributed estimation, and hybrid techniques that blend classical control with AI driven methods. Through invited talks, contributed presentations and panel discussions, the workshop will foster dialogue on open challenges, foundational principles, and future direction for control and estimation in the age of AI.
Note: Registered ICC-11 participants who are interested in presenting their work at the workshop are requested to visit the workshop webpage at the link below: https://icc25-ras-workshop.pages.dev/