Optimisation & control
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- On the Exact Linearization of Multi-Input Discrete-Time Flat Systems
- Primal-Dual Error Bounds and KKT Metric Subregularity in Convex Composite Optimization
- Budget-Constrained Multi-Consensus Decentralized Gradient Descent
- Topology Design for Distributed Consensus with Relay-Assisted Communication
- Spatially Explicit Optimal Harvesting and Adjoint-Based Diagnostics for Nonlinear Biomass Dynamics
- Network Intervention by Polling Strategic Agents
- Movement Stability of D-Optimal Sensor Placement Under Projector Perturbations
- Optimal Control of a Class of Reaction-Diffusion Systems with Pointwise State Constraints
- Shape optimization with inradius constraint and emergence of honeycomb structures
- An exact algorithm for the pickup and delivery problem with time windows and requests split across multiple stacks
- Adaptive Average Current-Mode Control of a Buck Converter Supplying Plasma Arc Loads
- Higher-dimensional Golden Section, Generalized Fibonacci Sequence, and Multiple Online Leasing
- Time-Efficient Active Bearing-Only Localization with Reception and Coverage Guarantees
- Scen-Opt: A Scenario Optimization Toolbox for Data-Driven Convex Programming
- Stochastic Subgradient Descent at Sharply Repulsive Points: A Bounded Noise Counterexample and Gaussian Noise Avoidance
- PLADOS: A Parameter-free Landing Algorithm for Decentralized Optimization on the Stiefel Manifold
- Belief-Informed Hybrid Control with Almost-Sure Target-Set Convergence
- A Neural JKO Scheme for Hellinger-Kantorovich Gradient Flows via Monge-Growth Pairs
- Sharp conditioning and quantitative stability of optimal transport
- Preserving Unstable Modes Through Inverse Dynamics in JEPA World Models
- A Relaxed Maximum-Based Normal S-Iteration Method for Generalized Absolute Value Equations
- Ideal Paths for Approximating Logistic Gradient Descent Trajectories at Large Initialization
- Distributed Learning with Selective State Space Models: Architecture-Aware Convergence Analysis
- Optimal Sensitivity of the general Wheatstone Bridge
- A Sharp Finite-Iteration Theory for Asynchronous Categorical Distributional Temporal-Difference Learning