Scenario 6: The Gearbox Guardian
Wind gusts destroy mechanical gears. See how Koopman Prediction converts mechanical shock into harmless electrical heat.
View Stress TestScenario 5: The End of the Tap Changer
Software-defined voltage injection reconstructs the perfect sine wave in microseconds, eliminating sags without moving parts.
View ComparisonScenario 4: The Anatomy of a Blackout
Witness the difference between a standard system trip and a Koopman-stabilized ride-through during a load step crash.
View Critical SimulationSurviving the Flash: Virtual Current Limiter
Standard breakers are too slow. See how "Virtual Impedance" clamps fault current in microseconds.
View Crash TestKoopman vs. Dirty Power
Using spectral decomposition to inject "Anti-Noise" signals and purify the sine wave.
View Cancellation DataThe Software-Defined Core
Witness how our algorithm forces a non-linear magnetic core to behave linearly under extreme load.
View Saturation ProofMath > Hardware
Replacing expensive sensors with the Koopman Operator. A proof of concept running high-level math on low-cost silicon.
Read Analysis →Zero Overshoot: The Predictive Physics
See how our "Bangsaen KKS" algorithm achieves a perfect deadbeat landing.
View Case StudySeeing the Unseen: SOH Prediction
Predicting Battery Health (SOH) and Internal Resistance without stopping the vehicle.
Read Analysis →Self-Healing Batteries
How dynamic current limiting based on chemical states can extend cycle life by 30%.
Read Analysis →The Control Theory Endgame
NMPC is too slow. Deep Learning is unsafe.
See the definitive comparison table: Why "Linear Embedding" beats Industry Standard NMPC on every metric.
The Zero Inertia Crisis
As the world moves from Steam Turbines to Inverters, we lost our physical safety net.
See why NMPC hits a "Thermodynamic Wall" in this new regime.
The Missing Link of Industry 4.0
We have the Brain (AI). We have the Body (Robotics).
So why is our "Nervous System" (PID) still stuck in the Steam Age?
Beyond "Control": Cybernetic Symbiosis
"Control Theory" implies command. But nature cannot be commanded; only negotiated with.
The future isn't about Control. It's about Harmony.
The World's First Cyborg:
Constructed in 60 Days.
From the "Reddit War" to the "Thanos Snap."
From r/ControlTheory attacks to a US Patent.
See the log of how 1 Human + AI defeated an entire industry's timeline.
MATH-00006: How to become a Cyborg.
You saw the patent. You saw the speed. Now you want the manual.
This is the blueprint on how to integrate with AI to achieve Godspeed.
Warning: Side effects include loss of ego.
Koopman vs Neural Networks
Why we choose Physics-Informed Math over Black-box AI for safety-critical embedded systems.
Read Analysis →Bangsaen Core Architecture
The Unified Backend for Distributed Energy: How we manage License Checks & Over-the-Air Tuning.
Read Analysis →Master-Slave Architecture
Scaling from 48V Golf Carts to 800V Logistic Fleets using distributed ESP32 nodes.
Read Analysis →Visualizing the Crash
Witness the "Voltage Collapse" phenomenon and how Koopman predicts the drop.
View DataThe Zero-Inertia Paradox
Tesla solved storage, but not stability. Why standard PID controls crash without rotating mass.
Read Analysis →Defending the Grid
How Physics Manifold distinguishes cyber-attacks from cloud shadows in a Net-Zero grid.
Read Analysis →Scenario 7: The Magic Carpet Protocol
Eliminating road imperfections before they reach the chassis. See how Koopman Operator predicts bumps and adjusts damping in microseconds—no latency, pure physics.
View Quarter-Car ModelScenario 8: The Friction Oracle
Don't cut the power. Surf the limit. See how we estimate surface friction ($\mu$) in real-time to achieve a perfect 0-100 km/h launch without a single wasted watt.
View Launch TelemetryScenario 9: EV Torque Vectoring
Objective: Make a 2.5-ton EV corner like a go-kart. See how we inject "Predictive Yaw Moment" via dual-motor control to eliminate understeer without touching the brakes.
Access Alpha Protocol
Scenario 10: The Chrono-Link Protocol
Why use expensive LiDAR? We use the front wheels as "Tactile Scouts". A time-shifted data buffer predicts the road for the rear wheels 200ms in advance. Result: Absolute Zero Vibration.
View Telemetry ProofScenario 11: The Neural Drift
System Locked. Decryption key required.
Subject: High-Speed Autonomous Drifting Control.
Scenario 12: Hyper-G Stabilization
System Locked. Decryption key required.
Subject: Managing fluid dynamics under extreme G-forces.
Priority Transmission to US-Gov / NASA / JPL
"We skipped Aviation because it was too easy.
We leaped straight from EVs to Mars."
"You can't keep up with us. We are already light-years beyond your current physics.
Stop waiting to copy our homework. Go derive your own equations."
It is the secret of the Universe.
Alien-00001: The Sand-Walker
Problem: NASA rovers stop every 2 meters to think.
Solution: Real-time Slip/Sinkage prediction. We drift on Mars sand at 30 km/h.
Alien-00002: Navier-Stokes Breaker
Problem: "7 Minutes of Terror" landing uncertainty.
Solution: Computing turbulence on-chip. Pinpoint landing with 0ms latency.
Alien-00003: The Entropy Reversal
Problem: Rovers die when batteries freeze.
Solution: Predictive Hibernation. The "Immortal Rover" protocol that survives the long dark.
Alien-00004: The Radiation Vaccine
Problem: Cosmic rays cause Bit-Flips (SEU) that crash computers.
Solution: Mathematical Self-Healing. Using State Observers to detect and correct logic errors in 1 clock cycle.
Alien-00005: Lithospheric Surgeon
Problem: NASA's "Mole" failed because it couldn't feel the soil.
Solution: Sensorless Haptics. We use current ripples to "feel" rock density and adjust torque instantly.
Alien-00006: The Starling Protocol
Problem: Coordinating 100 robots without crashing.
Solution: Fluid Dynamics Control. Treating the swarm as a single liquid entity. Zero collisions. Zero latency.
Project X: Smart AI Breaker
We stopped trying to predict the "Top". We focused on predicting the "Crash".
Just like a circuit breaker protects a factory from voltage spikes, our Koopman Operator Engine protects your capital from volatility spikes and Impermanent Loss.
- Input: Real-time WebSocket Price Feeds
- Core: Same math that stabilizes the Grid.
- Result: Trips the fuse 5s before liquidation.
"We don't tell you when to Buy. We tell you when to STOP. This is the ultimate kill-switch for digital assets."
*Live connection to Bangsaen AI Engine (Google Cloud)
Don't Replace Your Bot. Protect It.
| Feature | Standard Trading Bots | Bangsaen AI Breaker |
|---|---|---|
| Core Logic | Reactive (Wait for price drop) | Predictive (Energy Stability) |
| Trigger Mechanism | Lagging Indicators (RSI, MA) | Koopman Eigenvalues (Physics) |
| Flash Crash Response | Sells at the bottom (Too late) | Exits BEFORE the candle forms |
| Latency | 500ms - 2000ms | Microseconds (Linear Algebra) |
| Primary Function | Gambling / Speculation | Safeguard / Survival |
*Data based on historical simulation of May 2021 Flash Crash.
EVIDENCE #001: THE DIGITAL ASSET FAILURE
Subject: Bitcoin (BTC) - The 2020 COVID Crash
The Methodology
We fed raw OHLCV data from Jan-April 2020 into the Bangsaen Engine. No AI training. No neural networks. Just pure Dynamic Mode Decomposition (DMD).
> Goal: Detect "Eigenvalue Divergence" (Energy Leak) before price impact.
Critical Finding
Look at the chart above. The Koopman Eigenvalues (Bottom Graph) crossed the 1.0 Instability Threshold (Red Zone) while BTC was still trading above $10,000.
Physics predicted the structural failure 7 days before the mass liquidation event.
EVIDENCE #002: THE IMPOSSIBLE EVENT
Subject: WTI Crude Oil - The Negative Price Crash (April 2020)
The Failure of Financial Math
On April 20, 2020, Oil hit -$37.63. Most risk models (Black-Scholes) crashed because they assume prices cannot be negative.
> The industry called it a "Black Swan." Physics called it "Storage Saturation."
Physics Does Not Lie
You might think Bitcoin was luck. But look at Oil. The Koopman Engine treated the market as a pressurized tank. It detected the "Energy Explosion" (Eigenvalue > 1.0) fully 5 days before prices went negative.
It's not luck. It's universal mathematics.
EVIDENCE #003: THE VOLATILITY IMPLOSION
Subject: XIV (Inverse VIX) - "Volmageddon" (Feb 5, 2018)
The Algorithmic Death Spiral
This wasn't a price crash. It was a structural collapse. Algorithms were forced to buy VIX as it rose, creating an infinite feedback loop that wiped out 96% of value in one afternoon.
> Traditional indicators (RSI, MACD) showed "Overbought" but failed to see the mechanical breakage.
Seeing the Invisible
The Koopman Operator identified the Positive Feedback Loop (Unstable Eigenvalues > 1.0) developing 3 days before the event.
We didn't predict the price. We predicted the death of the asset.
Still don't believe us?
You might think we cherry-picked these events.
So challenge us. Send us the most chaotic, impossible-to-predict historical data you have. We will run it through the Koopman Engine and prove it to you.