Guide to Authors

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Various Ways to Participate

All the papers and proposals should be submitted using the IFAC PaperPlaza Conference Manuscript Management System: https://ifac.papercept.net .

This section provides key details and deadlines for various ways to participate in the event.

Before September 16, 2025

If you have a research theme of global importance that many are currently working on, consider organizing an Invited Session or proposing an Open Invited Track (OIT). An Invited Session requires the organizer to recruit six papers to form a complete session and submit it as a single proposal. In contrast, an OIT involves posting the theme on this website, allowing anyone interested to submit their papers freely under that theme. For either, you need to submit a short proposal. See details.

Before October 26, 2025

Authors have an option to have their paper reviewed for possible publication in one of the participating IFAC journals. For this option, the authors must submit their paper before October 26, 2025. Their paper will undergo an expedited review process, and the accepted paper will be published quickly. See details.

Before November 26, 2025

If you have technical research outcomes to share, consider submitting them as a regular paper or participating in an Open Invited Track (if your topic aligns with one of the listed OIT themes). If you were invited to an Invited Session, use the code provided by the session organizer to submit your paper as an Invited Session paper.

If you have a paper that surveys a specific topic, consider submitting it as a survey paper, which may be up to 12 pages long (double the length of a regular paper). See details.

If you want to showcase a research/education-oriented device or an innovative prototype, consider submitting a demonstration paper. See details.

Before January 31, 2026

If your research is mature and you want to share it in a pedagogical manner, consider organizing a tutorial session. See details.

If you have a research theme of broad interest and know key contributors to the field, consider organizing a pre-conference workshop. See details.

Before February 28, 2026

If you have preliminary research outcomes or late-breaking results and want to discuss them with the community, consider submitting a late-breaking/discussion paper. See details.

If you have a recent journal publication that you want to disseminate, participate in the Congress via the dissemination paper. You don’t have to write a new paper. See details.

Understanding Submission Types

Session Types

  • Regular Sessions: These are traditional technical sessions composed of papers submitted through open calls.
  • Invited Sessions (IS): These sessions are organized by volunteer organizers and typically consist of six papers invited by the organizers.
  • Open Invited Track Sessions (OIT): These sessions are proposed by volunteer organizers. Papers are not invited but collected through open calls. Organizers propose a specific theme, and once approved, the theme is posted on the list of OIT themes. Anyone can submit their paper to an OIT session if it aligns with the theme. For more details, prospective IS/OIT organizers can refer to the "Call for Invited Session and Open Invited Track Proposals."
  • Tutorial Sessions: Tutorial sessions are also organized by volunteer organizers. The two-hour long tutorial sessions will be scheduled during the main congress days. The organizers may invite other speakers, or they may present specific topics that are of tutorial nature. For more details, refer to the “Call for Tutorial Session Proposal.”
  • Demonstration Sessions: These sessions highlight research-oriented devices, innovative prototypes, and cutting-edge technologies. They aim to promote technology transfer to high-tech enterprises. Demonstration sessions are held as regular technical sessions, with opportunities for authors to showcase demonstrations. See the "Call for Demonstration Papers" for more details.

Paper Types

  • Regular Papers: Must have a minimum length of 4 pages and may be submitted with a manuscript of up to 8 pages for review. Accepted papers must have a final version of no more than 6 pages. Note that no overpage (more than 6) is allowed in the final version. These papers will be published in the Congress proceedings at IFAC-PapersOnLine (POL).
  • Survey Papers: These papers provide an overview of a research topic and may be submitted with a manuscript of up to 14 pages for review. The final version must not exceed 12 pages. Note that no overpage (more than 12) is allowed in the final version. Like regular papers, these will be published in the Congress proceedings at IFAC-PapersOnLine (POL).
  • Late-breaking/Discussion Papers: Typically between 1 and 4 pages in length. A late-breaking/discussion paper could include initial research ideas, late-breaking results, and description of demonstration. Late-breaking/discussion papers will appear only in the Congress preprints (distributed online for the attendees) and will not be included in IFAC-PapersOnLine.
  • Dissemination Papers: Authors of papers recently published or accepted by IFAC journals could present their works at the Congress by dissemination papers. Eligible papers are those published or accepted between January 1, 2025, and the submission deadline (Feb. 28, 2026). See the "Call for Dissemination Papers"  for further information.
  • Regular/Survey papers with journal option:  See details.

Presentation Styles

  • Oral Presentation: Delivered in a lecture-style format, with 20 minutes (or 40 minutes for survey papers) allocated per presentation, including Q&A. These presentations take place in conference rooms equipped with screen projectors.
  • Interactive Presentation: Conducted using a prepared poster (A0 size) displayed on a panel. Presenters interact with the audience over a two-hour session as attendees visit the poster.

The presentation style will be determined by the Congress organizers and communicated upon acceptance of the paper. Note that no value ranking is implied by the chosen presentation style.

The table below summarizes possible combinations of five different session types and four paper types.

Session Types Paper Types Regular papers Survey papers Late-breaking/ Discussion papers Dissemination papers Regular/Survey papers with journal option
Regular sessions O O O O O
Invited sessions O O O O X
Open invited track sessions O O O O X
Tutorial sessions O O X O X
Demonstration sessions O X O X X

* Dissemination papers may be assigned to regular sessions, invited sessions, open invited track sessions, or tutorial sessions. Or, there could be dedicated sessions for dissemination papers.

Submission Procedure

Step 1: Choose proper submission type

The contributor needs to choose a type among the types of submission listed in the next table.

Type of submission Page limit for initial
/final submission		 Publication Initial submission deadline
Regular paper with journal option 8/6 both preprints and (either journal or proceedings) Oct. 26, 2025
Regular survey paper with journal option 14/12 both preprints and (either journal or proceedings) Oct. 26, 2025
Regular paper 8/6 both preprints and proceedings Nov. 26, 2025
Regular survey paper 14/12 both preprints and proceedings Nov. 26, 2025
Regular late-breaking/discussion paper 4/4 preprints only Feb. 28, 2026
Invited session proposal Sept. 16, 2025
Invited session paper 8/6 both preprints and proceedings Nov. 26, 2025
Invited session survey paper 14/12 both preprints and proceedings Nov. 26, 2025
Invited session late-breaking/discussion paper 4/4 preprints only Feb. 28, 2026
Open invited track proposal Sept. 16, 2025
Open invited track paper 8/6 both preprints and proceedings Nov. 26, 2025
Open invited track survey paper 14/12 both preprints and proceedings Nov. 26, 2025
Open invited track late-breaking/discussion paper 4/4 preprints only Feb. 28, 2026
Dissemination paper 1/1 preprints only Feb. 28, 2026
Demonstration paper 6/6 both preprints and proceedings Nov. 26, 2025
Demonstration late-breaking/discussion paper 4/4 preprints only Feb. 28, 2026
Tutorial session proposal Jan. 31, 2026
Tutorial session paper 8/6 both preprints and proceedings Feb. 28, 2026
Tutorial session survey paper 14/12 both preprints and proceedings Feb. 28, 2026
Workshop proposal Jan. 31, 2026

In the table, “Preprints” means a publication at the program book, distributed online for the attendees, and “Proceedings” is the official publication at IFAC-PapersOnLine (POL).

Step 2: Prepare the manuscript

All submissions must be written in English and prepared according to IFAC format. For author guide including ethical guidelines and copyright conditions, refer to https://www.ifac-control.org/conferences/authors-guide and for manuscript preparation, refer to https://ifac.papercept.net/conferences/support/support.php.

Step 3: Submit through IFAC PaperPlaza CMMS

All the papers and proposals should be submitted using the IFAC PaperPlaza Conference Manuscript Management System: https://ifac.papercept.net.  In the system, authors are asked to provide the following items:
  • Title of the contribution
  • Information of authors
  • Abstract of the contribution
  • Theme (selected among 9 IFAC Technical Areas and New Topics)
  • Keywords associated to the selected theme

The list of themes and keywords is provided below. It is very important to choose the proper theme and keywords because the reviewer pool will be based on the selected theme and keywords. The proposal/paper will be reviewed by the Technical Committee chosen based on the 1st keyword of your choice. IFAC uses the single-blind peer review.

Depending on your submission type, you may upload additional documents, which should be a single file of .zip or .pdf. For further information regarding paper submission, please contact, Electronic Submission Chair, Hongkeun Kim hkkim@koreatech.ac.kr.

Technical Areas and List of Keywords

All relevant keywords are listed in the table below and categorized according to IFAC's current technical areas as well as those identified as emerging new topics.

In IFAC PaperPlaza Conference Manuscript Management System (CMMS), authors and invited session organizers must first select a “Theme” (highlighted in green below) and then select an appropriate “Category” by checking the relevant technical area (e.g., TC 1.1. Modelling, Identification and Signal Processing, TC 7.1. Automotive Control, or NT 1. Quantum Systems and Control). Each keyword must belong to a specific "Theme", and the first keyword (Priority 1) will be used to assign your paper or proposal to the corresponding Editor of the "Category".

IFAC Technical Areas and Keywords

Technical Areas and Keywords

CC 1 - Systems and Signals
TC 1.1. Modeling, Identification and Signal Processing
Linear system identification
Time/parameter varying system identification
Nonlinear system identification
Probabilistic and Bayesian methods for system identification
Data-driven control theory
Filtering and smoothing
Time series modeling
Fault detection and diagnosis
Active learning and experiment design
Learning methods for control
Physics informed and grey box model identification
Machine and deep learning for system identification
TC 1.2. Adaptive and Learning Systems
Adaptive control of multi-agent systems
Adaptive gain scheduling autotuning control and switching control
Adaptive observer design
Consensus and reinforcement learning control
Extremum seeking and model free adaptive control
Iterative and repetitive learning control
Model reference adaptive control
Neural and fuzzy adaptive control
Nonlinear adaptive control
Stochastic adaptive control
TC 1.3. Discrete Event and Hybrid Systems
Diagnosis of discrete event and hybrid systems
Discrete event modeling and simulation
Event-based control
Hybrid and switched systems modeling
Max-plus algebra
Model predictive control of hybrid systems
Optimal control of discrete event and hybrid systems
Petri nets
Quantized systems
Queuing systems and performance model
Reachability analysis, verification and abstraction of hybrid systems
Stability and stabilization of hybrid systems
Stochastic hybrid systems
Supervisory control and automata
TC 1.4. Stochastic Systems
Statistical inference
Statistical analysis
Estimation and filtering
Kalman filtering
Stochastic control
Randomized algorithms in stochastic systems
Security for stochastic systems
Synthesis of stochastic systems
Realization theory
Markov decision process
Hidden Markov model
Gaussian process
Diffusion process
Stochastic differential equations
TC 1.5. Networked Systems
Consensus
Control of networks
Control over networks
Control under communication constraints
Cyber security networked control
Distributed control and estimation
Distributed optimization
Distributed reinforcement learning
Multi-agent systems
Resilient networked control systems

CC 2 - Design Methods
TC 2.1. Control Design
Adaptive control design
Analytic design
Control in neuroscience
Control in system biology
Control of hybrid systems
Controller constraints and structure
Design methods for data-based control
Decentralized control
Fault detection and isolation
Model validation
Observer design
Parametric optimization
Sampled-data/digital control
Supervision and testing
Switching stability and control
TC 2.2. Linear Control Systems
Linear systems
Linear time-delay systems
Linear parameter-varying systems
Linear fractional-order systems
Linear functional systems
Control of complex systems
System structure and control
Structural and geometric control
Structured linear systems
Positive linear systems
Switching linear systems
Impulsive linear systems
Max-plus linear systems
TC 2.3. Non-Linear Control Systems
Application of nonlinear analysis and design
Control barrier functions and state space constraints
Cooperative nonlinear control
Nonlinear time-delay systems
Distributed nonlinear control
Disturbance rejection and input-to-state stability
Lagrangian and Hamiltonian systems
Lyapunov methods
Interconnected nonlinear systems
Nonlinear model reduction
Nonlinear observers and filters
Nonlinearity learning from data
Output feedback nonlinear control
Output regulation and tracking
Passivity-based control
Saturation and discontinuity
Quantized control and communication constraints
Sliding mode control
Stability of nonlinear systems
Nonlinear control of switched & hybrid systems
TC 2.4. Optimal Control
Model predictive control
Optimal control theory
Numerical methods for optimal control
Applications of optimal control
Real-time optimal control
Differential or dynamic games
Stochastic optimal control problems
Large-scale and networked optimization problems
Learning methods for optimal control
Optimal control of hybrid systems
Optimal control of PDE systems
Non-smooth and discontinuous optimal control
Optimization-based estimation and control
TC 2.5. Robust Control
Control of uncertain LPV systems
Convex optimization
Data-driven robust control
Distributed robust controller synthesis
Probabilistic robustness
Quantitative feedback theory
Randomized algorithms in robust control
Relaxations
Robust control applications
Robust controller synthesis
Robust estimation
Robust learning systems
Robust linear matrix inequalities
Robust time-delay systems
Robustness analysis
Sum-of-squares
Uncertain systems
TC 2.6 Distributed Parameter Systems
Infinite-dimensional multi-agent systems and networks
Systems theoretic properties of distributed parameter systems
Distributed parameters port Hamiltonian systems
Control of distributed parameter systems
Backstepping control of distributed parameter systems
Output regulation/tracking for distributed parameter systems
Model reduction of distributed parameter systems
System identification and adaptive control of distributed parameter systems
Control of hyperbolic systems and conservation laws
PDEs for time delay systems
Architectures of distributed systems
Robust output feedback control of DPS
Integration of ML/AI for control of DPS
Boundary control of distributed parameter systems

CC 3 - Computers, Cognition and Communication
TC 3.1. Computers for Control
Information models for control engineering
IT/OT-security in automation systems
Control software architecture
Digital twins for cyber physical systems
Architecture for industrial internet of things
Virtualized and cloud-based control architectures
AI tools in automation engineering and operation
Model driven engineering of control systems
Control architecture for multi agent systems
Service-architectures for control systems
TC 3.2. Computational Intelligence in Control
AI-driven modeling and control
Adaptive dynamic programming for control
Bio-inspired algorithms and optimization-based control
Data fusion and mining in control
Expert systems and cognitive-based control
Fuzzy and neural systems in control
Intelligent human-machine interaction
Knowledge-based and data-driven control
Machine learning for modeling and prediction
Reinforcement learning and deep learning in control
Soft computing and robust intelligent control
Takagi-Sugeno/quasi-LPV model-based control
TC 3.3. Telematics: Control via Communication Networks
Remote control
Networking for internet of things
Cyber physical systems
Safety and security in networked control
AI in networked control
Remote data acquisition and fusion
Networking for teleoperation
Tele-maintenance and tele-diagnosis
Tele-medicine and remote surgery
Cloud control and robotics

CC 4 - Mechatronics, Robotics and Components
TC 4.1. Human Machine Systems
Cyber physical human machine systems
Human machine cooperation & integration
Shared control
Human machine teaming
Human machine safety
Teleoperation
Co-learning
Human centered automation
Brain machine interaction and interface
Decision support systems
Degree of automation
Wearable computing systems
Cognitive processes and human machine systems
Adaptive and adaptable automation
Human AI integration
Human task allocation
Variable autonomy
TC 4.2. Mechatronic Systems
Mechatronic system integration
Mechatronic system modeling, design, optimization
Mechatronic system estimation, identification, control
Mechatronic system fault detection, diagnostics, hardware-in-the-loop simulation
Application of mechatronic principles
High-performance motion control systems
Smart structures and vibration control
Micro and nano mechatronic systems
Human mechatronics and human-machine interaction
Mechatronics for mobility systems
Biomedical and biomimetic mechatronic systems
Mechatronics for robotic systems
Mechatronics for advanced manufacturing and energy systems
TC 4.3. Robotics
Human-robot interaction
AI-powered robotics
Autonomous navigation
Robot learning and adaptation
Soft robotics
Robotic grasping and manipulation
Humanoid and legged robots
Task and motion planning
Robot perception and sensing
Wearable robotics
Social robotics and ethics
Aerial, field, and marine robotics
Medical and rehabilitation robotics

CC 5 - Cyber-Physical Manufacturing Enterprises
TC 5.1. Manufacturing Plant Control
Manufacturing engineering and management
Maintenance engineering, management and services
Cyber-physical production systems
Human-technology integration in manufacturing
Intelligent manufacturing systems
Sustainable and circular manufacturing systems
Smart production and logistics in manufacturing
Manufacturing plant simulation, control and optimization
Manufacturing prognostics and health management
Industrial artificial intelligence
Robotics in manufacturing systems
Advanced manufacturing and remanufacturing technologies
TC 5.2. Management and Control in Manufacturing and Logistics
Supply chain management in manufacturing
Supply network dynamics and control
Production and operations management
Logistics and warehouse management
Supply chain and logistics engineering, simulation and optimization
Simulation and optimization in production, operations and services
Data-driven and AI-based modelling of production and logistics
Digital supply chain and production
Viable and resilient supply chain and production
Sustainable and circular supply chain and production
Industry X.0 for production and logistics
Human-centered production and logistics
TC 5.3. Integration and Interoperability of Enterprise Systems (I2ES)
AI-based enterprise systems
Collaborative networked organizations principles
Cyber-physical-social systems in enterprises
Digital enterprise
Digital transformation
Enterprise architecture
Enterprise interoperability
Enterprise networking
Internet-of-things and sensing enterprise
Model-driven enterprise-system engineering
Systems-of-systems
TC 5.4. Large Scale Complex Systems
Large-scale complex systems
Complex dynamic systems
Interconnected dynamical systems
Composite systems
Decentralized and distributed control for large-scale systems
Hierarchical control

CC 6 - Process and Power Systems
TC 6.1. Chemical Process Control
Advanced process control
Machine learning and artificial intelligence in chemical process control
Model-predictive and optimization-based control in chemical processes
Industrial applications of chemical process control
Monitoring, performance assessment, and fault detection in chemical process control
Batch and semi-batch process control
Process modeling, identification, and estimation techniques
Real-time optimization and control in chemical processes
Control of multi-scale, distributed, and particulate systems
Biological and pharmaceutical systems
Control and optimization for sustainability and energy systems
Control and optimization of supply chains in chemical processes
Interaction between design and control in processes
Industrial applications of process control
Machine learning and artificial intelligence in MMM process control
TC 6.2. Mining, Mineral and Metal Processing (MMM)
MMM process modeling, identification, and estimation techniques
Predictive maintenance and equipment condition monitoring
Virtual and augmented reality in MMM systems
Autonomous haulage systems
Mining robotics
Nonlinear signal processing in MMM systems
Soft sensors in MMM systems
Image analysis and computer vision in MMM systems
Digital twins for power and process systems
Knowledge-based systems in MMM systems
Measurement while drilling
TC 6.3.A. Power Systems and Power Electronics
Electrical distribution systems
Cybersecurity in smart grids
Electric vehicles and charging stations
Energy market
Power systems stability
Power electronics
Demand response
Real time simulators for energy systems
Electrical protections
Electrical transmission systems
Power plant control
Distributed optimization for smart grids
Energy management systems
Electrical protection and fault diagnosis
Forecasting of power supply and demand
TC 6.3.B. Energy Generation and Energy Systems
Wind power
Solar energy
Nuclear power
Hydrogen systems for energy generation and storage
Thermal systems modelling
Hydropower
Biomass use for energy generation
Energy storage systems
Energy communities
Natural energy resources management
Life cycle assessment for energy systems
Control and management of energy systems
TC 6.3.C. Smart Cities and Sustainability
Electric vehicles integration in energy networks
Multi-energy networks
Interconnected city networks
Water distribution systems
Transportation networks
Cybersecurity in smart cities
Big data and machine learning applied to smart cities
IoT for cities
Distributed optimization and control for smart cities
Smart buildings and building automation
Life cycle assessment for smart cities
TC 6.4. Fault Detection, Supervision and Safety of Technical Process
AI methods for FDI/FTC
Data-driven methods for FDI/FTC
Applications of FDI/FTC
Computational methods for FDI
Cyberphysical security in processes
Distributed/networked FDI/FTC
Health/condition monitoring in processes
Fault detection and isoIation methods
Health aware control in processes
Fault-tolerant control methods
Process performance monitoring/statistical process control
Reliability and safety in processes
Sensor placement for FDI
Structural analysis/quantitative methods for FDI/FTC

CC 7 - Transportation and Vehicle Systems
TC 7.1. Automotive Control
Adaptive and robust control of automotive systems
AI and learning-based control for automotive systems
Automotive system identification and modelling
Control architectures in automotive control
Electric and solar vehicles
Engine and powertrain modeling and control
Hybrid, electric and alternative drive vehicles
Kalman filtering techniques in automotive control
Modeling, supervision, control and diagnosis of automotive systems
Nonlinear and optimal automotive control
Vehicle dynamic systems
Diagnosis of automotive control systems
TC 7.2. Marine Systems
AI and embodied-AI in marine systems
Autonomous marine systems and vehicles
Decision and support in marine systems
Dependability in marine systems
Human factors in marine systems
Marine renewable energy systems
Marine robotics
Marine system guidance, navigation and control
Maritime transport operation and automation
Modelling, identification and control in marine systems
Perception and filtering in marine systems
Power and propulsion in marine systems
Sensors and actuators in marine systems
Simulation and digital-twin in marine systems
TC 7.3. Aerospace
Avionics and on-board equipments
Flight dynamics modelling and identification
Guidance, navigation and control of aircraft and spacecraft
Condition monitoring and maintenance of aerospace systems
Urban air mobility
AI for aircraft and spacecraft navigation, guidance and control
Aerospace mission control and operations
Space exploration and transportation
Control of multi satellite systems
Aerial and space robotics
Digital twins and IoT for aerospace systems control and monitoring
TC 7.4. Transportation Systems
Automatic control, optimization, real-time operations in transportation
Artificial intelligence in transportation
Information processing and decision support in transportation
Intelligent transportation systems
Modeling and simulation of transportation systems
Planning, management and security in transportation
Rail transportation modelling and control systems
Transportation logistics
Multi-modal transportation systems
Autonomous mobile robots
TC 7.5. Intelligent Autonomous Vehicles
Autonomous vehicles
Learning and adaptation in autonomous vehicles
Mission planning and decision making for AVs
Motion control for AVs
Multi-vehicle systems
Guidance, navigation and control for AVs
Robotic vision for AVs
Trajectory and path planning for AVs
Trajectory tracking and path following for AVs
Cooperative navigation

CC 8 - Bio- and Ecological Systems
TC 8.1. Control in Agriculture
Automatic control in greenhouses
Automation for post harvest technology
Agricultural robotics
Computer vision in agriculture
Control in precision agriculture
Dynamics in farm management systems
Farmland irrigation and drainage control
Robotic manipulation of agricultural materials
Modeling and estimation in agriculture
Positioning and navigation in agriculture and forestry
Process control of agricultural machinery
Sensing and perception in agriculture
Sensor networks for agricultural automation
Vertical farming control
TC 8.2. Modeling and Control of Biomedical Systems
Artificial pancreas or organs
Biomedical signal measurement and processing
Biomedical and medical imaging, image processing, visualization
Biomedical system modeling, identification, and simulation
Cellular, metabolic, cardiovascular, pulmonary, neuro-system modeling
Clinical trial, clinical validation
Control of physiological and clinical variables
Modeling and control in mechanical ventilation
Decision support and control in medicine
Digital twins in healthcare, model-based therapeutics
Healthcare management, disease control, critical care
Intensive and chronic care or treatment
Medical devices, systems and solutions
Pharmacokinetics, tracer kinetic modelling and drug delivery
Rehabilitation engineering and healthcare delivery
TC 8.3. Modeling and Control of Environmental Systems
AI and ML for environmental systems
Air quality modeling and control
Climate change mitigation and adaptation modeling
Control of large-scale environmental systems
Integrated assessment modeling
Modeling and identification of environmental systems
Natural resources management
Optimal control and operation of environment systems
Participatory decision making in environmental systems
Planning and management in environmental systems under deep uncertainty
Real time monitoring and control of environmental systems
Risk analysis, impact assessment for environmental systems
Water-food-energy nexus
Water resource system modeling and control
TC 8.4. Biosystems and Bioprocesses
Dynamics and control of gene expression and metabolic pathways
Kinetic modelling, analysis and optimization of metabolism
Monitoring, observers and software sensors for biosystems
Modelling, parameter identification and state estimation in biosystems
Biological networks inference and modelling
Dynamics and control of biologically motivated nonlinear systems
Modelling and control of microbial communities
Microalgae production processes and bioenergy
Wastewater treatment processes
Pharmaceutical processes, food engineering and industrial biotechnology
Systems biology for biotechnology
Synthetic biology
Life cycle analysis/assessment for biosystems

CC 9 - Social Systems
TC 9.1. Economic, Business, and Financial Systems
Agent & AI technology for business and economy
Computational economics
Business and financial analytics
Cyber physical social systems (CPSS)
Game theories
Parallel intelligence
Econometric models and methods
Social computing
Financial systems
Decentralized economics/ecosystems (DeEco)
Blockchain intelligence
Knowledge automation
TC 9.2. Systems and Control for Societal Impact
Cyber-physical and human systems (CPHS)
System dynamics and control in CPHS
Human-centric automation/AI Systems, and human agency
Social networks and opinion dynamics
Cognitive and emotional control/AI systems, arts and control
Security and privacy in CPHS
Safety-critical and resilient systems
Explicability and transparency in CPHS
Responsible automation
Regulation, policy, and legal issues in control/AI
Control approaches for reaching the United Nations SDGs
Open-source tools for increased impact of control
TC 9.3. Control for Smart Cities
Social networks for smart cities
Building automation
Cyber-physical urban systems
Social transportation and social energy
Urban energy distribution systems
Data centers and cloud computing
Low-altitude economy
AI for smart cities
Smart city design and planning
Smart city control and optimization
Smart city security and resilience
Decision making under uncertainty
TC 9.4. Control Education
Control engineering curricula
Continuing control education
Control education laboratories
Control education learning analytics
Adding games to control education to encourage participation
Generative AI in control education
Industry-academia collaboration in control education
Internationalization of control education
Internet based control education
Repositories for control education
Parallel education and digital twins
K-21 and iCDIOS for control education
Control curriculum in elementary/secondary education
Mentoring in control engineering
TC 9.5. Technology, Culture and International Stability
Control and automation to improve social and political stability
Digital culture
Advanced technology, conflict and post-conflict
Diversity and inclusion in digital culture
Capacity building in less developed regions
Cost oriented automation
Industrial and service applications of AI and intelligent automation
Cost-effective operation and maintenance
Engineering ethics in control and AI
Cross-cultural aspects of engineering
Models & simulation for international stability

NT - New Topics
NT 1. Quantum Systems and Control
Quantum control
Quantum systems
Quantum optimal control
Coherent quantum control
Quantum filtering
Robust quantum control
Quantum tomography
Quantum controllability
Quantum linear systems
Quantum observers
NT 2. GenAI/LLMs for Robotics and Control
LLMs for modeling and control
Prompt-based control synthesis and optimization
LLM-enhanced human-in-the-loop
Data-efficient control via foundation models
Usage of LLM for failure mode and effects analysis
LLMs for control education and knowledge transfer
Development of assistant systems for manufacturing systems
Explainability and safety of LLM-based controllers
Natural language interfaces
NT 3. Fully Actuated System Control
Global fully actuated systems
Sub-fully actuated systems
Unidirectionally connected FASs
High-order strict feedback systems
High-order backstepping
Control using FAS approach
Predictive control of fully-actuated systems
Fully-actuated systems in industry