Ieee Transactions On Automatic Control

IEEE Transactions on Automatic Control (ieee-transactions-on-automatic-control)

Journal positioning

IEEE Transactions on Automatic Control (TAC) is the flagship archival journal of the systems-and-control field, publishing rigorous theoretical and methodological contributions across control theory, estimation, optimization for control, hybrid and networked systems, and the mathematics of dynamical systems. The defining expectation is a provable, general result: a new theorem, a new method with guarantees, or a sharp answer to an open systems-and-control question. Application papers that tune a known controller for one plant, or simulation studies without a generalizable theoretical contribution, are a poor fit and are routinely returned. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official author information. Before submitting, re-check the live IEEE TAC author guidance and submission system.

When to trigger

• The author names TAC as the target for a control-theory, estimation, or dynamical-systems manuscript and wants a fit/framing check.
• A control contribution must be re-framed from "we controlled this system" into a general theorem or method statement with explicit assumptions.
• The author is choosing between TAC and automatica, or between a full Paper and a Technical Note / shorter contribution.
• The author needs TAC's specific desk-reject heuristics and a credible alternative-venue route for application-heavy work.

Scope & topic fit

• Control theory: stability, robust/H-infinity, adaptive, nonlinear, optimal, model-predictive, and geometric control, with new analysis or synthesis results.
• Estimation and filtering: state estimation, observers, Kalman-type and set-membership filtering, when the contribution is a new guarantee or method, not a tuning.
• Networked, distributed, multi-agent, and hybrid/switched systems; event-triggered and quantized control; consensus and distributed optimization with convergence proofs.
• Optimization, game-theoretic, and learning-based control when the result is rigorous (stability/convergence/regret guarantees), not purely empirical.
• Stochastic systems and control; systems-theoretic aspects of dynamical systems.

Method & evidence bar

• The central object is a theorem with a correct, complete proof under clearly stated, non-vacuous assumptions; the generality and tightness of the result are what carry the paper.
• Assumptions must be reasonable and explicitly discussed: a result that holds only under assumptions that effectively presuppose the conclusion is not a contribution.
• Numerical examples are illustrations, not evidence of generality; simulations support intuition but never substitute for the proof.
• Position against the closest prior results precisely: state what is new relative to existing theorems (weaker assumptions, larger class of systems, tighter bound, constructive vs. existence).
• Notation must be standard and self-consistent; the problem formulation must be mathematically precise before any result is stated.

Structure & house style

• IEEE double-column format; TAC publishes full Papers and shorter Technical Notes / Correspondence — match the article type to the size and scope of the contribution, and re-check current definitions on the live guide.
• Problem statement and assumptions come early and precisely; main results are stated as numbered theorems/propositions/lemmas with proofs (in-text or in an appendix per the current format).
• The introduction must position the open problem and the gap in existing theory, not survey applications.
• Figures are used sparingly and purposefully (block diagrams, convergence/phase plots); the paper stands on its theorems, not its plots.
• Supplementary proofs/appendices carry length-limited material per current rules.