Control Theory and Foundations


• Linear, Nonlinear and Hybrid Control Systems
• Optimal, Robust and Adaptive Control
• Stochastic Control, Filtering and Estimation
• Distributed, Decentralized and Networked Control
• Model Predictive Control (MPC) and Receding Horizon Methods
• Sliding Mode, Passivity Based and Lyapunov Control
• System Identification, Modeling and Parameter Estimation
• Control of High Dimensional and Infinite Dimensional Systems

Safe, Verified and Trustworthy Control


• Safety Critical Caontrol and Control Barrier Functions
• Formal Verification of Control Systems
• Verified Learning Enabled Control (LEC)
• Runtime Assurance and Safety Monitors
• Risk Sensitive and Uncertainty Aware Control
• Trustworthy and Explainable Control Policies

Intelligent, Learning Based and Data Driven Control


• Reinforcement Learning for Control
• Safe RL, Constrained RL and Risk Aware RL
• Learning Based MPC and Adaptive Learning Controllers
• Data Driven Control, Koopman Operators and System Discovery
• Learning from Demonstrations (LfD) and Imitation Learning
• Neural, Fuzzy, Evolutionary and Bio Inspired Control
• Large Scale Multi Agent RL (MARL)
• Foundation Models for Control and Dynamics

Differentiable Simulation and Differentiable Control


• Differentiable Physics Engines
• Differentiable MPC and End to End Differentiable Control
• Gradient Based System Identification
• Differentiable Robotics and Simulation Driven Learning

Cyber Physical Systems and Autonomous Systems


• Control of Cyber Physical Systems (CPS)
• Autonomous Vehicles, Drones and Intelligent Transportation
• Cooperative Driving, V2X Aware Control and Platooning
• Multi Agent Systems, Coordination and Swarm Control
• Human Robot Interaction and Shared Autonomy
• Perception Action Loops and Vision Based Control

Robotics, Mechatronics and Motion Control


• Robot Manipulation, Locomotion and Grasping
• Whole Body Control and Humanoid Robot Control
• High DoF Manipulation and Dexterous Control
• Motion Planning, Trajectory Optimization and Navigation
• SLAM, Visual Odometry and Sensor Fusion
• Soft Robotics and Bio Inspired Robotics
• Industrial Robotics and Automation

Modeling, Simulation and Digital Twins


• Mathematical Modeling of Dynamic Systems
• High Fidelity Simulation and Virtual Prototyping
• Digital Twins for Industrial and CPS Applications
• Multi Physics and Multi Scale Modeling
• Simulation Driven Optimization and Control

Optimization, Algorithms and Computation


• Convex, Non Convex and Global Optimization
• Distributed and Parallel Optimization
• Real Time Optimization and Embedded Solvers
• Heuristic, Metaheuristic and Evolutionary Algorithms
• Game Theory, Mean Field Control and Strategic Systems
• Algorithmic Foundations for Large Scale Control

Embedded, Real Time and Hardware in the Loop Systems


• Embedded Control Systems and Firmware Design
• Real Time Systems, Scheduling and RTOS
• Hardware in the Loop (HIL) and Rapid Prototyping
• FPGA/ASIC Based Control Implementations
• Edge Computing and Real Time ML Driven Control
• Edge Robotics Control and Distributed Intelligence

Signal, Image and Vision Based Control


• Signal Processing for Control Applications
• Image Processing and Computer Vision for Automation
• Vision Guided Robotics and Visual Servoing
• Sensor Fusion for Control and Decision Making
• Vision Language Action (VLA) Models for Control

Fault Detection, Diagnosis and Resilient Systems


• Fault Detection, Isolation and Recovery (FDIR)
• Health Monitoring and Predictive Maintenance
• Anomaly Detection in Control Systems
• Resilient and Fault Tolerant Control Architectures

Networks, Communication and Distributed Systems


• Networked Control Systems (NCS)
• Control over Wireless, 5G/6G and IoT Networks
• Communication Constrained and Delay Aware Control
• Distributed Sensing, Actuation and Coordination
• Federated and Distributed Learning for Control

Automation, Process Control and Industrial Systems


• Process Control, Instrumentation and Automation
• Smart Manufacturing and Industry 4.0
• SCADA Systems and Industrial IoT
• Control in Chemical, Energy and Power Systems
• Aerospace, Military and Space Control Applications

Energy, Power and Climate Control Systems


• Renewable Energy Control and Optimization
• Smart Grid Control and Energy Storage Systems
• Carbon Aware and Climate Adaptive Control
• Weather Driven Predictive Control
• Control for Sustainable and Green Technologies

Human Centered and Cognitive Control


• Human in the Loop Control Systems
• Cognitive Modeling and Adaptive Interfaces
• Shared Autonomy and Assistive Control
• Human Machine Collaboration and Co Adaptation

Quantum Control and Emerging Technologies


• Quantum Control and Quantum Error Correction
• Quantum Aware Optimization and Computing
• Control of Quantum Networks and Quantum Systems

Biological, Healthcare and Medical Control Systems


• Control for Prosthetics, Exoskeletons and Wearables
• Neural Control Interfaces and Brain Machine Interaction
• Closed Loop Medical Device Control
• Physiological System Modeling and Control

Cross Disciplinary and Emerging Applications


• Bio Cyber Systems and Biological Control Models
• Control for Smart Cities and Infrastructure
• Control for Environmental Monitoring and Sustainability

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.