Plasma and Resonator Control

Program Objective

The central objective is to move from modeled phase control toward a sequence of testable hardware experiments. The program asks which sensing, control, and actuation strategies can maintain a resonator inside a stable operating region, and which signals reveal that the system is approaching a non-recoverable instability.

Current Published Result

Active Phase Stabilisation in a Plasma Resonator Using Feedback Control and Auxiliary Scalar-like Coupling

The 2026 chapter presents a time-resolved control model combining feedback-mediated phase regulation, entropy-aware monitoring, and a phenomenological auxiliary scalar-like channel. Simulations indicate that the modeled resonator can be driven into a stable phase-locked regime and maintained there within defined operational bounds.

The analysis also identifies a critical tearing threshold. Below that threshold, the controller can recover from phase drift. Beyond it, the instability develops faster than corrective feedback can restore alignment.

Read the dedicated research overview · Published chapter

Core Research Areas

• Phase estimation: determine the real-time state and phase error of the resonator.
• Feedback control: design control laws that reduce phase drift without destabilizing the system.
• Entropy-aware monitoring: track rising disorder and control stress before failure.
• Threshold analysis: define measurable boundaries between stable, recoverable, and tearing behavior.
• Hybrid architectures: study how classical control methods could support later quantum-feedback research without conflating the two.

Coherence Definitions

The program uses “coherence” carefully. In the published model, coherence refers to a stable phase relationship in a classical or semiclassical system. Quantum coherence would require direct measurement of quantum-state behavior, decoherence times, and quantum observables; those claims are outside the present evidence.

Instrumentation Requirements

• High-bandwidth phase and frequency sensing
• Low-latency control computation
• Actuators with known bandwidth and saturation limits
• Independent monitoring of energy input, damping, and thermal behavior
• Noise injection and disturbance testing
• Data logging sufficient for post-run reconstruction and independent review

Proposed Experimental Stages

1. Independent simulation replication: reproduce the published phase-locking and tearing-threshold results.
2. Hardware-in-the-loop: test the controller against a real-time plant model with realistic latency and noise.
3. Classical resonator bench test: validate sensing, correction, and recovery in a low-risk physical system.
4. Plasma-coupled prototype: introduce plasma-specific dynamics and map the stability envelope.
5. Independent comparison: compare measured behavior with the published model and document deviations.

Success and Failure Criteria

• Time required to acquire phase lock
• Maximum sustainable phase error
• Recovery after controlled disturbance
• Control effort and actuator saturation
• Measured warning signals preceding the tearing threshold
• Repeatability across independent runs and implementations

Current Collaboration Needs

• Plasma physicists and resonant-system researchers
• Nonlinear and adaptive-control engineers
• Real-time simulation and hardware-in-the-loop specialists
• Sensor, instrumentation, and data-acquisition engineers
• Researchers interested in independent computational replication

View the collaboration briefs · Contact the lab

---

Methods, status labels, and replication expectations are documented in Methods & Reproducibility.