Pith. sign in

REVIEW 2 major objections 2 minor 68 references

A single Control Barrier Function-like constraint in a quadratic program handles formation tracking for multi-agent systems.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · grok-4.3

2026-06-26 05:54 UTC pith:H6E46MO2

load-bearing objection The core claim is a single CBF constraint inside a QP that does formation tracking for heterogeneous agents with no nominal controller or tuning, but the abstract gives no equations so the claim is impossible to check. the 2 major comments →

arxiv 2606.25452 v2 pith:H6E46MO2 submitted 2026-06-24 eess.SY cs.SY

Control Barrier Function only Formation Tracking in Multi-Agent Systems

classification eess.SY cs.SY
keywords control barrier functionsformation trackingmulti-agent systemsquadratic programmingleader-followernonlinear dynamicsreal-time control
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper introduces a control framework for formation tracking in heterogeneous multi-agent systems with nonlinear dynamics. It encodes the formation objective as one Control Barrier Function-like constraint inside a quadratic optimization problem. This setup uses only relative information from neighboring agents. It avoids manual parameter tuning and the need for a separate nominal formation controller. The approach is demonstrated in simulations for leader-follower moving formations.

Core claim

Formation tracking is achieved by formulating a single Control Barrier Function-like constraint within a quadratic optimization setting that directly addresses the formation objectives for heterogeneous nonlinear agents, relying solely on relative neighbor information without additional tuning or nominal controllers.

What carries the argument

The single Control Barrier Function-like constraint embedded in the quadratic program, which enforces the desired formation geometry and tracking behavior.

Load-bearing premise

Relative information from neighboring agents is sufficient to define and enforce the formation tracking via the single constraint without external references.

What would settle it

A scenario in which the quadratic program cannot maintain the desired inter-agent distances over time despite feasible solutions would falsify the effectiveness of the single constraint approach.

Watch this falsifier — get emailed when new claim-graph text bears on it.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

2 major / 2 minor

Summary. The paper presents a real-time control framework for formation tracking of heterogeneous multi-agent systems with nonlinear dynamics. It formulates a single Control Barrier Function-like constraint inside a quadratic program that achieves formation tracking using only relative information from neighboring agents. The approach claims to require no manual parameter tuning and no separate nominal formation controller. Validation consists of leader-follower simulations for moving formations.

Significance. If the central claim holds, the result would simplify formation control design for heterogeneous nonlinear agents by embedding the tracking objective directly into a barrier constraint inside a QP, eliminating the conventional nominal controller and tuning steps. This could have practical value for real-time multi-agent applications if the construction is shown to be correct and general.

major comments (2)
  1. [quadratic optimization setting (method description)] The central 'CBF-only' claim (no separate nominal formation controller) is load-bearing and hinges on the quadratic cost function. The manuscript must explicitly state whether the QP solves min ||u||^2 subject to the CBF-like constraint and its Lie-derivative condition, or whether the cost contains a reference term that encodes the desired formation. If the latter, the assertion that the barrier constraint alone drives tracking fails.
  2. No mathematical derivation, invariance proof, or formal statement of the CBF-like constraint and its effect on formation error appears in the provided text. Simulations alone cannot establish that the single constraint guarantees formation tracking for the claimed class of heterogeneous nonlinear systems; a proof or at least a rigorous argument is required for the central claim.
minor comments (2)
  1. The abstract refers to a 'Control Barrier Function-like constraint' without clarifying the precise differences from a standard CBF (e.g., whether the barrier function is defined on formation error or on pairwise distances).
  2. The leader-follower simulation description should include the explicit dynamics, the number of agents, and the quantitative formation-error metrics to allow assessment of the results.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive feedback. We address the two major comments point-by-point below, clarifying the QP formulation and committing to add the requested formal elements.

read point-by-point responses
  1. Referee: [quadratic optimization setting (method description)] The central 'CBF-only' claim (no separate nominal formation controller) is load-bearing and hinges on the quadratic cost function. The manuscript must explicitly state whether the QP solves min ||u||^2 subject to the CBF-like constraint and its Lie-derivative condition, or whether the cost contains a reference term that encodes the desired formation. If the latter, the assertion that the barrier constraint alone drives tracking fails.

    Authors: The quadratic program is solved as min ||u||^2 subject to the single CBF-like constraint and its Lie-derivative condition; the cost function contains no reference or nominal term. The formation-tracking objective is encoded exclusively inside the barrier constraint via relative neighbor information. We will revise the method section to state this formulation explicitly and thereby remove any ambiguity about the 'CBF-only' claim. revision: yes

  2. Referee: [—] No mathematical derivation, invariance proof, or formal statement of the CBF-like constraint and its effect on formation error appears in the provided text. Simulations alone cannot establish that the single constraint guarantees formation tracking for the claimed class of heterogeneous nonlinear systems; a proof or at least a rigorous argument is required for the central claim.

    Authors: We agree that a formal argument is required. In the revised manuscript we will insert an explicit definition of the CBF-like constraint in terms of the formation error, followed by a derivation showing that satisfaction of the Lie-derivative condition inside the QP renders the safe set forward invariant for the heterogeneous nonlinear agents. This argument will establish that the single constraint is sufficient to guarantee formation tracking. revision: yes

Circularity Check

0 steps flagged

No circularity: derivation chain not reducible to inputs

full rationale

Abstract and claims describe a QP with one CBF-like constraint achieving formation tracking for heterogeneous agents using only relative neighbor info, without nominal controller or tuning. No equations, Lie derivatives, or cost functions are supplied that would permit checking for self-definitional reduction (e.g., formation error appearing inside the barrier definition) or fitted-input-called-prediction. The skeptic concern addresses whether the QP cost implicitly encodes tracking (correctness question), not whether any stated derivation equals its inputs by construction. No self-citations, uniqueness theorems, or ansatzes are visible. Result is treated as self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Based on abstract only; no information on free parameters, axioms, or invented entities is available.

pith-pipeline@v0.9.1-grok · 5587 in / 971 out tokens · 28862 ms · 2026-06-26T05:54:31.718678+00:00 · methodology

0 comments
read the original abstract

This paper presents a real-time control framework for formation tracking of heterogeneous multi-agent systems with non-linear dynamics. The proposed method formulates a single Control Barrier Function-like constraint within a quadratic optimization setting that addresses formation tracking. Relying on the relative information of neighboring agents, the controller is designed to operate without the need for manual parameter tuning or a separate nominal formation controller. The leader-follower framework is validated through simulations of moving formations.

Figures

Figures reproduced from arXiv: 2606.25452 by Pushpak Jagtap, S. Saharsh.

Figure 1
Figure 1. Figure 1: Formation control problem for follower agent i. Lemma 2. Given the multi-agent system connected as G in a leader-follower framework and under Assumption 1, each follower agent i has at least two neighbors in unique positions with non-parallel desired bearings, termed as reference nodes j1, j2 ∈ Ni , such that the removal of any corresponding edge (i, j1) or (i, j2) ∈ E, implies that the matrix Bf f is sing… view at source ↗
Figure 2
Figure 2. Figure 2: Timestamps in s are shown for formation group positions. Formation tracking with two leader agents (red, blue) and six follower agents (green, black, cyan, magenta, orange, pink) is shown. For video visit https: //shorturl.at/0E2Rj. 5 Results & Conclusion In this section, we validate our proposed single CBF-like constraint through an integrated CBF-QP framework for formation tracking in a heterogeneous mul… view at source ↗

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

68 extracted references · 3 canonical work pages

  1. [1]

    Automatica , volume=

    Prescribed performance formation control for second-order multi-agent systems with connectivity and collision constraints , author=. Automatica , volume=

  2. [2]

    IEEE Transactions on Control Systems Technology , year=

    A collision cone approach for control barrier functions , author=. IEEE Transactions on Control Systems Technology , year=

  3. [3]

    Sliding Mode Control for Safe Trajectory Tracking with Moving Obstacles Avoidance: Experimental Validation on Planar Robots , author=. In Proc. 18th Int. Workshop Variable Struct. Syst. (VSS) , year=

  4. [4]

    IEEE Transactions on Automatic Control , volume=

    Prescribed-time safety design for strict-feedback nonlinear systems , author=. IEEE Transactions on Automatic Control , volume=. 2023 , publisher=

  5. [5]

    18th European control conference (ECC) , pages=

    Control barrier functions: Theory and applications , author=. 18th European control conference (ECC) , pages=

  6. [6]

    IEEE Transactions on Robotics , volume=

    Safety barrier certificates for collisions-free multirobot systems , author=. IEEE Transactions on Robotics , volume=

  7. [7]

    Automatica , volume=

    Leader-follower consensus control with hierarchical prescribed performance for nonlinear multi-agent systems under reversing actuator faults , author=. Automatica , volume=

  8. [8]

    IEEE Transactions on Control of Network Systems , volume=

    Leader-follower formation control with prescribed performance guarantees , author=. IEEE Transactions on Control of Network Systems , volume=

  9. [9]

    Automatica , year=

    Distributed safe control design and probabilistic safety verification for multi-agent systems , author=. Automatica , year=

  10. [10]

    IEEE/RSJ International Conference on Intelligent Robots and Systems , pages=

    Formation control of underactuated surface vessels using the null-space-based behavioral control , author=. IEEE/RSJ International Conference on Intelligent Robots and Systems , pages=

  11. [11]

    IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans , volume=

    Obstacle avoidance in a dynamic environment: A collision cone approach , author=. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans , volume=

  12. [12]

    IEEE Transactions on Automatic Control , volume=

    Bearing-only formation tracking control of multiagent systems , author=. IEEE Transactions on Automatic Control , volume=

  13. [13]

    IEEE Transactions on Automatic Control , volume=

    Bearing rigidity and almost global bearing-only formation stabilization , author=. IEEE Transactions on Automatic Control , volume=

  14. [14]

    Automatica , volume=

    Localizability and distributed protocols for bearing-based network localization in arbitrary dimensions , author=. Automatica , volume=

  15. [15]

    Seventh Indian Control Conference (ICC) , pages=

    Planar bearing-only formation control of heterogeneous multi-agent systems , author=. Seventh Indian Control Conference (ICC) , pages=

  16. [16]

    Actuators , volume=

    Collision/Obstacle Avoidance Coordination of Multi-Robot Systems: A Survey , author=. Actuators , volume=

  17. [17]

    IEEE Internet of Things Journal , year=

    Safety-Certified Optimal Formation Control for Nonlinear Multi-Agents via High-Order Control Barrier Function , author=. IEEE Internet of Things Journal , year=

  18. [18]

    Collision cone control barrier functions: Experimental validation on

    Goswami, Bhavya Giri and Tayal, Manan and Rajgopal, Karthik and Jagtap, Pushpak and Kolathaya, Shishir , booktitle=. Collision cone control barrier functions: Experimental validation on

  19. [19]

    IEEE Robotics and Automation Letters , volume=

    Hybrid nonsmooth barrier functions with applications to provably safe and composable collision avoidance for robotic systems , author=. IEEE Robotics and Automation Letters , volume=

  20. [20]

    2012 , publisher=

    Small unmanned aircraft: Theory and practice , author=. 2012 , publisher=

  21. [21]

    IEEE Transactions on Systems, Man, and Cybernetics: Systems , volume=

    A survey on intelligent control for multiagent systems , author=. IEEE Transactions on Systems, Man, and Cybernetics: Systems , volume=

  22. [22]

    Proceedings of the IEEE , volume=

    Control and communication challenges in networked real-time systems , author=. Proceedings of the IEEE , volume=

  23. [23]

    ArXiv preprint arXiv:2303.03504 , year=

    Learning responsibility allocations for safe human-robot interaction with applications to autonomous driving , author=. ArXiv preprint arXiv:2303.03504 , year=

  24. [24]

    American Control Conference (ACC) , pages=

    Control barrier function based quadratic programs with application to bipedal robotic walking , author=. American Control Conference (ACC) , pages=

  25. [25]

    IEEE Transactions on Automation Science and Engineering , volume=

    Correctness guarantees for the composition of lane keeping and adaptive cruise control , author=. IEEE Transactions on Automation Science and Engineering , volume=

  26. [26]

    IEEE Transactions on Control of Network Systems , year=

    Tracking control of cooperative marine vehicles under hard and soft constraints , author=. IEEE Transactions on Control of Network Systems , year=

  27. [27]

    IEEE Transactions on control systems technology , volume=

    Trajectory tracking for unmanned air vehicles with velocity and heading rate constraints , author=. IEEE Transactions on control systems technology , volume=

  28. [28]

    IEEE 58th conference on decision and control (CDC) , pages=

    Control barrier functions for systems with high relative degree , author=. IEEE 58th conference on decision and control (CDC) , pages=

  29. [29]

    IEEE 63rd Conference on Decision and Control (CDC) , pages=

    Formation control of double integrators over directed graphs using bearings and bearing rates , author=. IEEE 63rd Conference on Decision and Control (CDC) , pages=

  30. [30]

    IEEE control systems letters , volume=

    Nonsmooth barrier functions with applications to multi-robot systems , author=. IEEE control systems letters , volume=

  31. [31]

    IEEE Control Systems Magazine , volume=

    A distributed optimization framework for localization and formation control: Applications to vision-based measurements , author=. IEEE Control Systems Magazine , volume=

  32. [32]

    Computer networks , volume=

    Wireless sensor network localization techniques , author=. Computer networks , volume=

  33. [33]

    Unmanned Systems , volume=

    A survey of multi-agent systems on distributed formation control , author=. Unmanned Systems , volume=. 2024 , publisher=

  34. [34]

    Automatica , volume=

    A survey of multi-agent formation control , author=. Automatica , volume=

  35. [35]

    2009 , publisher=

    Distributed control of robotic networks: a mathematical approach to motion coordination algorithms , author=. 2009 , publisher=

  36. [36]

    Automatica , volume=

    Interconnection topologies for multi-agent coordination under leader-follower framework , author=. Automatica , volume=

  37. [37]

    Input-constrained prescribed performance control for high-order

    Fotiadis, Filippos and Rovithakis, George A , journal=. Input-constrained prescribed performance control for high-order

  38. [38]

    American control conference (ACC) , pages=

    Safety barrier certificates for heterogeneous multi-robot systems , author=. American control conference (ACC) , pages=

  39. [39]

    IEEE Transactions on automatic control , volume=

    The scenario approach to robust control design , author=. IEEE Transactions on automatic control , volume=

  40. [40]

    IEEE Conference on Control Technology and Applications (CCTA) , pages=

    Unifying reactive collision avoidance and control allocation for multi-vehicle systems , author=. IEEE Conference on Control Technology and Applications (CCTA) , pages=

  41. [41]

    2010 , publisher=

    Graph theoretic methods in multiagent networks , author=. 2010 , publisher=

  42. [42]

    25th International Symposium on Mathematical Theory of Networks and Systems Bayreuth, Germany , pages=

    Distributed control barrier function-based control scheme for multi-agent systems under a collective constraint , author=. 25th International Symposium on Mathematical Theory of Networks and Systems Bayreuth, Germany , pages=

  43. [44]

    IEEE Transactions on Control Systems Technology , volume=

    Formation tracking control of multiagents in constrained space , author=. IEEE Transactions on Control Systems Technology , volume=

  44. [45]

    IEEE Transactions on Automatic Control , volume=

    Safe consensus tracking with guaranteed full state and input constraints: A control barrier function-based approach , author=. IEEE Transactions on Automatic Control , volume=

  45. [46]

    IEEE Transactions on Cybernetics , year=

    Enhancing Collision-Free Formation Control in Multiagent Systems: An Approach Based on Time-Derivative of Artificial Potential Functions , author=. IEEE Transactions on Cybernetics , year=

  46. [47]

    IEEE Internet of Things Journal , year=

    Range-only Distributed Safety-Critical Formation Control based on Contracting Bearing Estimators and Control Barrier Functions , author=. IEEE Internet of Things Journal , year=

  47. [49]

    IEEE Transactions on Automatic Control , volume=

    Quadratic programming for continuous control of safety-critical multiagent systems under uncertainty , author=. IEEE Transactions on Automatic Control , volume=. 2023 , publisher=

  48. [50]

    Automatica , volume=

    Leader--follower consensus control with hierarchical prescribed performance for nonlinear multi-agent systems under reversing actuator faults , author=. Automatica , volume=. 2025 , publisher=

  49. [51]

    2006 IEEE/RSJ International Conference on Intelligent Robots and Systems , pages=

    Formation control of underactuated surface vessels using the null-space-based behavioral control , author=. 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems , pages=. 2006 , organization=

  50. [52]

    IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans , volume=

    Obstacle avoidance in a dynamic environment: A collision cone approach , author=. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans , volume=. 1998 , publisher=

  51. [53]

    Actuators , volume=

    Collision/Obstacle Avoidance Coordination of Multi-Robot Systems: A Survey , author=. Actuators , volume=. 2025 , organization=

  52. [54]

    IEEE Internet of Things Journal , year=

    Safety-Certified Optimal Formation Control for Nonline-ar Multi-Agents via High-Order Control Barrier Function , author=. IEEE Internet of Things Journal , year=

  53. [55]

    2024 American Control Conference (ACC) , pages=

    Collision cone control barrier functions: Experimental validation on ugvs for kinematic obstacle avoidance , author=. 2024 American Control Conference (ACC) , pages=. 2024 , organization=

  54. [56]

    IEEE Robotics and Automation Letters , volume=

    Hybrid nonsmooth barrier functions with applications to provably safe and composable collision avoidance for robotic systems , author=. IEEE Robotics and Automation Letters , volume=. 2019 , publisher=

  55. [57]

    IEEE Transactions on Systems, Man, and Cybernetics: Systems , volume=

    A survey on intelligent control for multiagent systems , author=. IEEE Transactions on Systems, Man, and Cybernetics: Systems , volume=. 2020 , publisher=

  56. [58]

    Proceedings of the IEEE , volume=

    Control and communication challenges in networked real-time systems , author=. Proceedings of the IEEE , volume=. 2007 , publisher=

  57. [59]

    IEEE Transactions on control systems technology , volume=

    Trajectory tracking for unmanned air vehicles with velocity and heading rate constraints , author=. IEEE Transactions on control systems technology , volume=. 2004 , publisher=

  58. [60]

    2019 IEEE 58th conference on decision and control (CDC) , pages=

    Control barrier functions for systems with high relative degree , author=. 2019 IEEE 58th conference on decision and control (CDC) , pages=. 2019 , organization=

  59. [61]

    IEEE control systems letters , volume=

    Nonsmooth barrier functions with applications to multi-robot systems , author=. IEEE control systems letters , volume=. 2017 , publisher=

  60. [62]

    Automatica , volume=

    Interconnection topologies for multi-agent coordination under leader--follower framework , author=. Automatica , volume=. 2009 , publisher=

  61. [63]

    IEEE Transactions on Automatic Control , volume=

    Input-constrained prescribed performance control for high-order MIMO uncertain nonlinear systems via reference modification , author=. IEEE Transactions on Automatic Control , volume=. 2023 , publisher=

  62. [64]

    2016 American control conference (ACC) , pages=

    Safety barrier certificates for heterogeneous multi-robot systems , author=. 2016 American control conference (ACC) , pages=. 2016 , organization=

  63. [65]

    IEEE Transactions on automatic control , volume=

    The scenario approach to robust control design , author=. IEEE Transactions on automatic control , volume=. 2006 , publisher=

  64. [66]

    2021 IEEE Conference on Control Technology and Applications (CCTA) , pages=

    Unifying reactive collision avoidance and control allocation for multi-vehicle systems , author=. 2021 IEEE Conference on Control Technology and Applications (CCTA) , pages=. 2021 , organization=

  65. [67]

    the 25th International Symposium on Mathematical Theory of Networks and Systems Bayreuth, Germany, 12-16 September 2022 , pages=

    Distributed control barrier function-based control scheme for multi-agent systems under a collective constraint , author=. the 25th International Symposium on Mathematical Theory of Networks and Systems Bayreuth, Germany, 12-16 September 2022 , pages=. 2022 , organization=

  66. [68]

    arXiv preprint arXiv:2504.04937 , year=

    Hybrid Control Barrier Functions for Nonholonomic Multi-Agent Systems , author=. arXiv preprint arXiv:2504.04937 , year=

  67. [69]

    IEEE Transactions on Control Systems Technology , volume=

    Formation tracking control of multiagents in constrained space , author=. IEEE Transactions on Control Systems Technology , volume=. 2015 , publisher=

  68. [70]

    arXiv preprint arXiv:2502.05510 , year=

    Data-driven neural certificate synthesis , author=. arXiv preprint arXiv:2502.05510 , year=