Mission engineering & integration
Connect mission requirements, system architectures and interfaces. Evaluate how capabilities perform together before committing to a design or integration decision.
Explore mission engineering
DEFENSE / SCIENCE / ENGINEERING / SYSTEM INTEGRATION
SI-Augmented Digital Engineering, Modeling & Simulation.
PALLC integrates engineering tools, authoritative models and data within one adaptively scalable, SI-augmented Digital Engineering, Modeling & Simulation environment. We automate model development and integration so programs can compare system configurations, identify interaction problems and focus test and evaluation on mission requirements.
Explore capabilitiesSI AUGMENTED DIGITAL ENGINEERING MODELING & SIMULATION
CAPABILITY DEVELOPMENT / MISSION PREPARATION
Accelerate multi-domain integration.
PALLC connects requirements, executable system models and computational physics across design, test and evaluation, exercises and analytical wargaming. Automating model development, transformation and integration reduces manual reconciliation as designs and configurations change. Programs can compare system configurations and establish integration and test priorities; exercise sponsors can examine courses of action, rehearse coordination and assess participant performance against event objectives.
Exercises & analytical wargaming
Examine courses of action, rehearse coordination and assess performance against operational objectives through designed scenarios, facilitation and after-action analysis.
Explore exercises & wargamingComputational physics & prediction
Resolve consequential physical interactions, quantify uncertainty and focus model resolution on the design factors and operating conditions that govern the outcome.
Explore computational physicsSI-enabled engineering development
Integrate frontier SI with authoritative information, persistent project context and engineering tools. Develop and evaluate automation within the customer’s network and cybersecurity requirements.
Explore SI-enabled developmentZMS + MODELSHIFT / RECORDED WORKFLOW
Trace requirements through model execution and verification.
Select a chapter to see model loading, mission testing, verification and export.
Recorded ZMS execution: 25/25 execution checks and 6/6 bounded physics checks. SysML v2 textual validation covers an export from a separate run of the same package.
Read the recorded workflow
- 0:07 / Load. Planned SysML model and GridPro test-package views.
- 0:55 / Execute. Mission replay, pLEO, MEO and GEO context, followed by the modeled C2 route.
- 1:21 / Verify. The recorded run shows 25/25 execution checks and 6/6 bounded physics checks.
- 1:38 / Export. Export initiation, as-run text and the SysML v2 textual-validation record.
ZMS / MULTI-DOMAIN TRACKING
Tracking across air,
land, sea and space.
Replay aircraft, maritime, ground and orbital activity in one mission workspace.
RECORDED EXERCISE / 14 SECONDS / SILENTAIR + SEA → SPACE + GROUND → LAND
What the recording shows
0:00 Aircraft and maritime-contact inspection. 0:04 MEO and ground-link context. 0:08 LEO satellite inspection. 0:12 Land-force entity and SysML activity. These are recorded exercise views.
ADAPTIVE DIGITAL TWINSCOMPUTATIONAL MESH INSPECTION
We build adaptive digital twins.
Predict system behavior
Dynamical systems, computational physics and model reduction support repeated analysis.
Update from observations
Test feedback guides accepted model changes.
Optimization
Compare design alternatives and select the next test.
TECHNOLOGY PORTFOLIO
Technology portfolio.
01 / Engineering prototype
ModelShift
Connect engineering requirements and system models to executable analysis, change assessment and V&V.
Explore ModelShift02 / Research prototype
ZMS
Connect executable models, mission observations and participant decisions in a shared engineering and geospatial environment.
Explore ZMS03 / In development
ForceWeaver
Develop SI-assisted exercise preparation from mission objectives to scenarios, execution and assessment.
Explore ForceWeaverPALLC / RESEARCH
Publications & White Papers.
Preprint · Hypersonic computational fluid dynamics
Admissible Coarse-to-Fine Continuation of Reacting Hypersonic Flow on Native Hexahedral Grids
Abstract excerpt
A developed reacting-air solution is transferred to an unchanged, 41,962,496-hexahedron domain through an admissibility-checked continuation method. Seven species, two thermal energies, and shear-stress-transport turbulence are coupled through thermodynamic, acoustic, charged-transport, and nonlinear-update equations.
Read the paperWhite paper · 2026
A System Entity Structure Methodology for Verifiable, Embedding-Grounded LLM-Agent Orchestration in DEVS
Abstract excerpt
We present a System Entity Structure methodology for orchestrating large language model agents as a Discrete Event System Specification coupled model, with verification and validation carried out through the DEVS hierarchy of system specifications and its morphisms.
Read the paperPublished article · 2026
From Rules to Agentic Swarms: A Systems Engineering Journey Through the Evolution of AI
Abstract excerpt
Artificial intelligence (AI) for systems engineering has evolved through six paradigms in five decades: expert systems, machine learning, deep learning, large language models, agentic AI, and agentic swarms, with each paradigm shorter than the last.
Read the paperPublished symposium paper · 2026
MATH‐BASED DATA STRUCTURES AND ANALYSIS FOR MISSION ENGINEERING
Abstract excerpt
The future of systems engineering (FuSE) calls for increased rigor, grounded in math‐based approaches.
Read the paperWhite paper · MODSIM World 2026
Executable Architectures: Integrating Ontology, SysML v2, DEVS, and Agentic AI to Realize the Digital Thread
Abstract excerpt
The digital thread remains fragmented in practice: requirements, architectures, models, and verification evidence are exchanged through documents and manual reconciliation rather than machine-verifiable relationships, and Modeling & Simulation (M&S) therefore functions as a downstream report about the system rather than the system's authoritative executable representation.
Read the paperResearch collaboration · 2026
Four-Arc Progressive Assessment with Adversarial AI Validation: An IGNITE ’26 Geospatial COP for Digital Engineering
Abstract excerpt
We present a four-arc progressive assessment system with a geospatial common operational picture (COP), developed during the IGNITE '26 hackathon (March 16–19, 2026).
Read the paperPALLC presentation · 2026
Wargaming a Post-Quantum C4ISR Transition: Model-Adjudicated Analysis of Migration Sequencing Under Quantum Disruption
Abstract excerpt
The convergence of three quantum computing milestones in twelve months has compressed the post-quantum cryptography (PQC) migration timeline from a next-decade concern to a present-day operational imperative.
Read the paperSI-ENABLED ENGINEERING / RESEARCH & DEVELOPMENT
The Structural Gap: From Frontier AI to Mission Capability
Abstract excerpt
Commercial frontier AI advances through a global system of computation, research, software development and feedback. Deploying a model inside a defense network does not reproduce the system that continually advances its capability.
Read the paperAGENTIC SI / MODELING & SIMULATION
Dr. Bernard P. Zeigler and the Foundations of Agents in Artificial Intelligence
Abstract excerpt
Bernard P. Zeigler established a rigorous systems foundation for model-based intelligent agents. With his collaborators, he developed architectures in which agents use internal representations to plan actions, monitor consequences, coordinate with other agents, and recover when execution departs from expectations.
Read the paperHETEROGENEOUS MODELING & SIMULATION / DEVS
PALLC AI-GEMS: AFSIM, JSE, NGTS and Beyond — A DEVS Blueprint for the Defense Modeling and Simulation Toolchain
Overview
Philipbar Analytics LLC’s Artificial Intelligence for Gaming, Exercise, Modeling & Simulation (PALLC AI-GEMS) applies PALLC’s expertise in the Advanced Framework for Simulation, Integration and Modeling (AFSIM), Joint Simulation Environment (JSE), Next Generation Threat System (NGTS), and heterogeneous co-simulation to a common integration problem: preserving temporal event synchronization across independently developed models and simulators.
Read the paperSpeed From Rigor.
