Reward-based model tuning becomes provable Newton steps
Fine-tuning and sampling share one iteration with global descent and quadratic convergence.
· “Newton Matching for Generative Modeling: A Unified Framework for Fine-Tuning and Sampling”
Systems and Control
This section includes theoretical and experimental research covering all facets of automatic control systems. The section is focused on methods of control system analysis and design using tools of modeling, simulation and optimization. Specific areas of research include nonlinear, distributed, adaptive, stochastic and robust control in addition to hybrid and discrete event systems. Application areas include automotive and aerospace control systems, network control, biological systems, multiagent and cooperative control, robotics, reinforcement learning, sensor networks, control of cyber-physical and energy-related systems, and control of computing systems.
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Fine-tuning and sampling share one iteration with global descent and quadratic convergence.
· “Newton Matching for Generative Modeling: A Unified Framework for Fine-Tuning and Sampling”
Covariance radius eliminates auxiliary matrices from Riccati stability condition, matching Lyapunov's theorem.
The result fills a gap for three-body trajectory problems, where endpoint orbits resist algebraic equations.
· “Transversality Conditions for Boundary Constraints Defined by Differential Equations”
Structure-Behavior Coalescence says system identity arises from mutual determination, not from matching separate descriptions
· “Structure-Behavior Coalescence and the Limits of Traditional Systems Theory”
Under ETH for PPAD, polynomial CCE computation is impossible; first radically uncoupled algorithm matches the hardness bound.
· “Independent Reinforcement Learning in Discounted Markov Games”
Reduces crashes by over 99% in simulation and runs at 60 Hz on a real racecar.
· “Online, Reachability-Aware, Sampling-Based Motion Planning”
New approach matches Monte Carlo accuracy within 3% while enabling 15-minute grid management cycles.
· “Efficient Quantile-Resolved Hosting Capacity Assessment on Nodal Level for Low-Voltage Grids”
A sheaf framework classifies persistent versus cumulative views and extends to tree-width and multi-agent networks.
· “Time-Varying Data as Sheaves: an Invitation to Narratives”
Deep learning with S-transform imaging and hybrid attention beats threshold-based methods and generalizes without retraining.
The method derives exact frequency-domain equivalents of dynamic device models, revealing that traditional power flow misses up to 75% of…
· “Unifying Power Flow and Electromagnetic Transient Modeling”
Even with zero construction cost, most SMRs cannot pay back within their lifetime due to hourly losses from high marginal costs.
· “The consequences of high SMR operating costs in electricity markets”
A competitive ratio ties prediction horizon, inter-execution steps, and mismatch level to stability and performance.
· “Asynchronous Model Predictive Control Under Model Mismatch: Stability and Performance Guarantees”
Each linear subproblem reduces to a budget-constrained LQ problem, solved by Riccati recursion and bisection.
MATLAB package offers data-driven least-squares analysis of nonlinear system dynamics directly from input-output data.
· “NL-FRA: A MATLAB package for nonlinear frequency response analysis”
Dynamic valve and temperature control balances heat across rooms without extra energy use
In coordination games, one risk parameter flips long-run selection between the efficient and the safe outcome.
· “Entropic Risk-Sensitive Evolutionary Learning and Equilibrium Selection in Coordination Games”
Model-based RL uses eight surface pressure sensors to stabilize the unstable cylinder wake equilibrium at Re=100, no full-state needed.
PMU data from five Irish buses shows voltage synchronizes across the grid at 1-second lags, overturning a textbook assumption.
· “On the Local and Global Nature of Frequency and Voltage Dynamics”
Bi-ZOL smooths only the response Jacobian, achieving O(δ) bias for C^{1,1} responses and exact Clarke stationarity for piecewise affine…
· “Bi-ZOL: Bilevel Zeroth-Order Learning with Nonsmooth Responses”
A convex quadratic program replaces nonlinear optimization for simultaneous SoC and temperature balancing in series-connected cells.
Constraint satisfaction and global exploration combined via Riemannian Adjoint Schrödinger Bridge sampler.
· “Trajectory Optimization via Schr\"{o}dinger Bridge Sampling”
Finite-time level-set inversion maps temporal windows to spatial boundaries, surviving clock snaps and delays.
· “Sound Compilation of Weighted Event Signal Temporal Logic to Timeless Geometric Control”
Combines DC bounds and fixed-structure polytopes to keep optimization convex while allowing shape to adapt.
· “Configuration-Constrained Tube MPC for Difference-of-Convex Nonlinear Systems”
A measurement-driven attack simulation shows 41.1 MW of publicly reachable solar DERs can drive half of buses below safe limits.
New method uses dynamic line and load models to improve transient response without altering steady-state behavior.
· “Distributed Droop-Free Control of Grid-Forming Inverters with Dynamic Line and Load Modeling”
The controller keeps every step feasible and trails the best hindsight battery policy by only √(T log log T).
· “Online Constrained Control of Storage Systems via Simplex Disturbance-Action Policies”
No dispatcher, no reservations: vans trained on four cities run 98.6% of shifts on time across twenty.
· “Emergent Charging Coordination in Electric Delivery Fleets”
A self-supervised graph encoder reused for power flow, reactive control, operating-state generation, and stability assessment on unseen…
· “A unified power-grid representation for reuse across network structures and computational tasks”
Data from 74 houses show systematic oversizing across climate zones, including the industry standard Manual J.
· “Data-driven estimation of design heating loads for HVAC equipment sizing”
Predictive safety layer and a deadlock-breaking protocol allow pre-trained multi-agent policies to adapt safely to unseen obstacles.
· “Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding”
Nonlinear reachable sets computed without state grids by lifting to Koopman coordinates.
· “Spectral Koopman-Hopf Formula for Reachability with Adversary”
Lift trajectories into observable space, compare subspaces: coordinate changes vanish, real parameter changes register.
· “A Data-Driven Koopman-Behavioral Distance for Nonlinear Dynamical Systems”
A hybrid battery-LDES fleet also stays feasible through every tested transmission outage, where batteries alone fail.
Simulation shows a win-win when traffic coverage is added to route planning with the right weighting.
· “RoboSense: Leveraging Robotaxi Fleets as Drive-by Sensors for Urban Traffic Monitoring”
GreenPassport computes request-level carbon for cross-border AI inference with provenance-tiered labels, and its calibrated energy…
· “GreenPassport: Request-Level Carbon Accounting for Cross-Border AI Inference”
Unified framework handles proper and improper systems, places poles and zeros in reduced models, for both continuous and discrete time.
· “Moment Matching for Descriptor Systems: A M\"obius Mapping Approach”
A sufficient condition for transient stability after large disturbances, with small conservativeness, tested on IEEE 14-bus.
A control framework that adapts temperature bounds to keep realized Kh violations near the budget, tested in simulation and an occupied…
A new construction gives the EB estimator's asymptotic accuracy while reducing sensitivity to hyperparameter errors from linear to…
Zero-shot Chronos-2 lags; full fine-tuning and cyclical calendar encoding yield best short-horizon results.
· “Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model”
TD-STGT predicts grid-level traffic changes using crowdsourced data, achieving a 5.7% RMSE improvement.
· “TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting”
Two approaches – Off-Load and Hot-Swap – manage reconfiguration while minimizing voltage disturbances.
· “A Control Philosophy for Multiplexed Power Converters in Active Distribution Systems”
Long-run inference value splits exactly into each report's statistical gain times the chance it arrives by the deadline.
· “Assessing Fixed-Batch Reporting for Deadline-constrained Inference in Intermittently Powered IoT”
A control proof and simulation show a camera drone can replace a costly fixed-wing plane for training and testing.
· “Dynamic System Emulation: Fixed Wing Dynamics on a Multicopter”
Sparse likelihood training turns noisy vision poses into inertial preintegration that survives lighting outages.
· “PLATO: Preintegration Learning from Accurate Trajectory Observations for Neural Inertial Odometry”
Closed-form rules pick when fresh-local data beats a delayed global view and how wide a snapshot should reach.
OcclusionCBF extends backup control barrier functions to predicted occupancy, ensuring recursive feasibility and collision avoidance in…
· “OcclusionCBF: Backup Control Barrier Functions for Safe Navigation Among Hidden Dynamic Obstacles”
Learned score from weak data provides a local value-gradient for online control on a known-feasible scaffold.
· “Geometric Distributional Control: Learning Progress with Partial Structural Knowledge”
A taxonomy of contextual hazards, misalignment, and adversarial misuse, plus a full-stack research agenda.
Only observations are needed: satisfaction probabilities converge to the truth at a proven rate.
· “Non-parametric Formal Synthesis of Unknown Stochastic Systems: Asymptotic Convergence Guarantees”
A proximal bundle method keeps every iterate stabilizing and reaches (η, ε)-stationarity in O(max{η^{-4}, ε^{-2}}) steps.
· “Weak Convexity and Proximal Bundle Methods for Nonsmooth Policy Optimization in Robust Control”
For dynamic output-feedback H∞ policy search, epsilon-Clarke stationarity on the identity-gauge exact slice yields O(epsilon)…
· “Algorithmic Optimality Guarantees for Nonsmooth H_infty Output-Feedback Policy Search”
Two-power state penalty and replay-based critic learning guarantee convergence independent of initial conditions for nonlinear multi-agent…
By confining switching to a separate contact interface, the model keeps rigid body equations simple while capturing residual deformation.
New algorithm uses input-output equations and Lie derivatives to produce compact, interpretable generators
· “Observable functions of rational ODE models and how to find them”
Simulator tests show one deployment swaps objectives, tighter loads, and new constraints by rewriting its control loss.
· “Multimodal Large Language Model-guided Constrained Optimization for RAN Intelligent Control”
Open-source FALCON-S unifies semi-empirical aerodynamics, 6DoF physics, and GPU training for systematic controller benchmarking.
· “FALCON-S: Fixed-wing ground-effect Aerodynamics Simulator and Flight Control Learning Suite”
By modeling each interface as a virtual subnode, the method jointly assigns packets to modalities and routes them across the network.
· “Biased Backpressure Routing for Multihop Wireless Networks with Heterogeneous Interfaces”
Review of wireless modalities shows that narrowband links hit a pJ/bit wall; UWB and BCC break through to sub-10 pJ/bit.
· “Bidirectional Wireless Communication for Weakly Coupled Implantable Brain-Computer Interfaces”
Agent-by-agent results show owner type and income steer subsidies, grid hotspots, and peak loads that aggregate models miss.
Four mechanisms from past technological disasters are already operating in frontier AI development; safety processes alone are not enough.
A tiny Gaussian timing signature catches stealth rewrites that volume-based filters miss.
Feedback-guided search finds feasible fixes in 86.7% of cases while simulation, not the LLM, picks the final plan.
Hot-standby radios plus spectral detection stop physical-layer jamming from cascading into robot control failure.
SHCMPC uses hard constraints; SAMPC uses adaptive penalties for lower computational cost.
Systematic analysis of 66 studies shows LLMs are defensible only for bounded semantic and workflow layers, not controllers.
Picking both location and query threshold from the forecast ensemble beats fixed thresholds at equal budgets.
· “Forecast-Ensemble-Based Active Binary-Threshold Query Design for Interval Data Assimilation”
A structured decomposition of performance-boosting operators keeps L_p stability guarantees when incorporating arbitrary contextual signals.
· “Context-Enriched Performance Boosting via Operator Decomposition”
Restricting future dispatch to a shared causal linear policy gives a single locational marginal price with standard energy/congestion…
· “Locational Marginal Pricing for Adaptive Robust Look-Ahead Dispatch with Casual Affine Recourse”
A four-layer chain from airport particle dose to nine-stage efficiency loss matches in-service compressor deterioration milestones.
Random-walk fingerprints weighted by physical line states achieve 98–99% balanced accuracy and beat neural models on failure detection.
· “Physics-Aware Random Walk Fingerprints for Scalable Power Grid Graph Classification”
A provable equivalence turns the nested leader-follower problem into one solvable complementarity quadratic program.
Guaranteed stability and linear convergence for uncertain linear systems.
· “Policy Iteration for Domain Randomized Linear Quadratic Systems”
From Taylor series to the Schur–Poincaré adjoint formula, plus a proof the Fréchet derivative exists.
A product order over branch-level violation support and severity is shown to be the necessary representation for both runtime admission…
· “SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents”
Bayesian inference with an adaptive model pinpoints where and when micro-meteorites hit, even with limited sensors.
· “Bayesian thermal digital twin for a space habitat subjected to an impact event”
AgentiGrid tests four LLMs on a 200-bus grid; parallel computing cuts iterations but reliability still varies.
· “Integrating Agentic Artificial Intelligence with High-Performance Computing for Grid Planning”
A single forward pass per coherence interval keeps sum-rate within about 10 percent across a 128-fold speed range.
A 12.5 h window resolves all 324 cells; average module models miss the weakest cells that set usable capacity.
Grazing-incidence peak on drywall, blocked by absorber touch, confirms a new surface-guided path for mmWave signals.