Real-Time Feedback Optimization

Closed-loop optimization with drift compensation and adaptive control

Optimization Control

0.10
Current Value
0.00
Best Value
0.00
Iteration
0
Improvement
0%
Status
Idle

Convergence History

Parameter Space Exploration

Current χ⁽²⁾ Pattern

Output Spectrum

Drift Monitoring & Compensation

Optimization Algorithms

Stochastic Parallel Gradient Descent (SPGD)

Model-free optimization for high-dimensional phase control:

δun+1 = γ · sign(δJ) · δun

Bayesian Optimization

Gaussian process surrogate with acquisition function:

xnext = argmax EI(x)