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pith:KJ46DGTY

pith:2026:KJ46DGTYE335TV7I4WH2RYG6ET
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Bounded-Input True Proportional Navigation for Impact-Time Control

Abhinav Sinha, Lohitvel Gopikannan, Shashi Ranjan Kumar

A sliding-mode guidance law based on true proportional navigation intercepts constant-velocity targets at a prescribed time while respecting known acceleration bounds.

arxiv:2605.13669 v1 · 2026-05-13 · eess.SY · cs.RO · cs.SY · math.DS

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

Based on the sliding mode control technique, an effective guidance law that achieves time-constrained interception while accounting for bounded input is then derived.

C2weakest assumption

The target moves at constant velocity with no maneuvers; the interceptor acceleration is modeled as a first-order dynamic variable whose bound is known a priori.

C3one line summary

A sliding-mode true proportional navigation law is derived that enforces impact-time constraints for non-maneuvering targets under bounded acceleration.

References

26 extracted · 26 resolved · 0 Pith anchors

[1] Impact angle guidance using state-dependent (differential) riccati equation: Unified applicability analysis, 2020
[2] Finite-horizon robust suboptimal control- based impact angle guidance, 1955
[3] Impact-time-control guidance law for anti-ship missiles, 2006
[4] Impact-time-control guidance with generalized proportional navigation based on nonlinear formulation, 2016
[5] Distributed guidance law design for cooperative simultaneous attacks with multiple missiles, 2016
Receipt and verification
First computed 2026-05-18T02:44:17.206756Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5279e19a7826f7d9d7e8e58fa8e0de24e3e2aee6756e11b3f4c08eb2a6d3dd74

Aliases

arxiv: 2605.13669 · arxiv_version: 2605.13669v1 · doi: 10.48550/arxiv.2605.13669 · pith_short_12: KJ46DGTYE335 · pith_short_16: KJ46DGTYE335TV7I · pith_short_8: KJ46DGTY
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KJ46DGTYE335TV7I4WH2RYG6ET \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5279e19a7826f7d9d7e8e58fa8e0de24e3e2aee6756e11b3f4c08eb2a6d3dd74
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "eess.SY",
    "submitted_at": "2026-05-13T15:29:44Z",
    "title_canon_sha256": "21ee37519624949001061f4d41dc55ece442eaae58a200ac4c121196d65622a7"
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