12th International Conference on Control, Modeling and Computing (CMC 2026)
June 20 ~ 21, 2026, Sydney, Australia Scope & Topics 12th International Conference on Control, Modeling and Computing (CMC 2026) provides a premier global platform for sharing cutting edge research, innovative methodologies and advanced applications in Control Engineering, Modeling and Computing. As these fields continue to evolve rapidly, driven by breakthroughs in intelligent systems, autonomous technologies, cyber physical systems and data driven control, CMC 2026 aims to bring together leading researchers, practitioners and industry experts from around the world to exchange knowledge, foster collaboration and explore emerging trends shaping the future of modern control and computational systems.
The goal of the conference is to deepen the understanding of contemporary concepts in control engineering, modeling and computing, while encouraging interdisciplinary dialogue and the formation of new research partnerships. By bridging theoretical foundations with real world applications, CMC 2026 serves as a vital forum for advancing both academic research and industrial innovation.
Authors are invited to submit high quality contributions presenting original research results, innovative projects, comprehensive surveys and industrial case studies that demonstrate significant advances in the field. Submissions may address, but are not limited to, the broad range of topics outlined below.
Topics of interest include, but are not limited to, the following 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
Paper Submission Authors are invited to submit papers through the conference Submission System by April 25, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from CMC 2026, after further revisions, will be published in the special issue of the following journals. Important Dates | Submission Deadline | : | April 25, 2026 | | Authors Notification | : | May 23, 2026 | | Final Manuscript Due | : | May 30, 2026 |
Co - Located Event ***** The invited talk proposals can be submitted to cmc@cmc2026.org
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