12th International Conference on Control, Modeling and Computing (CMC 2026)

12th International Conference on Control, Modeling and
Computing (CMC 2026)

June 20 ~ 21, 2026, Sydney, Australia

https://signal2026.org/cmc/index

SCOPE

12th International Conference on Control, Modeling and Computing (CMC 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Control Engineering, Modeling, Computing and Applications. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Control Engineering, Modeling and Computing concepts and establishing new collaborations in these areas.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Topics of interest

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 June 13, 2026 (Last call). 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.

• International Journal of Instrumentation and Control Systems (IJICS)
• International Journal of Control Theory and Computer Modelling (IJCTCM)
• International Journal of Information Technology, Control and Automation (IJITCA)
• International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
• International Journal of Information Technology, Modeling and Computing (IJITMC)
• Information Technology in Industry (ITII)

Important Dates

• Submission Deadline: June 13, 2026 (last Call)
• Authors Notification: June 18, 2026
• Registration & Camera-Ready Paper Due: June 19, 2026

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