Category: CC1 Systems and Signals
Modelling, identification, signal processing, and the analysis of dynamical systems across the discrete-event, hybrid, stochastic, adaptive and networked regimes.
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MECC 2026
The 6th Modeling, Estimation and Control Conference (MECC 2026)
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MTNS 2026
27th International Symposium on Mathematical Theory of Networks and Systems (MTNS)
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Welcome Message from the TC1.5 Chair 2023–2026
Welcome message from the Chair of IFAC Technical Committee 1.5 on Networked Systems, highlighting the committee’s work on communication networks, multi-agent systems, and emerging applications.
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Welcome Message from the TC1.3 Chair 2023-2026
If you are a researcher and your interests include event-driven dynamic systems or systems that combine time-driven and event-driven dynamics, then this Technical Committee is for you…
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Scope of TC1.2
This Technical Committee addresses all control problems involving system models that are subject to large size uncertainties and seeks solutions where model uncertainty is compensated for using adaptation and learning rules. It facilitates migrating intelligence into adaptive and learning systems.
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Welcome Message from the TC1.4 Chair 2023–2026
Welcome Message from the Chair If you are a researcher and your interests include Stochastic Systems, in particular, stochastic modelling, identification, estimation and control for time-series data as well as dynamical systems, then this Technical Committee is for you.
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Scope of TC1.5
Networked Systems are complex dynamical systems composed of a (large) number of individual (sub)systems interacting physically or through digital communication networks. The technical committee focuses on mathematical methods proposed for the analysis and design of networked systems and their applications.
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Scope of TC1.4
Focuses on statistical/probabilistic methods: modelling, analysis, estimation, identification, decision, control; stochastic dynamical systems
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Scope of TC1.3
IFAC Technical Committee 1.3 focuses on the analysis and control of Discrete Event Systems (DES) and Hybrid Systems (HS). Discrete event systems are characterized by a countable and possibly non-numerical state space, while Hybrid Systems combine event-driven dynamics with conventional time-driven dynamics.
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Welcome Message from the TC1.2 Chair 2023-2026
Welcome Message from the Chair The complexity of Control Problems lies, at least partly, in the fact that the models used in control design are subject to uncertainty.