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620 records
- Robust synchronization for multi-agent systems governed by PDEs with observable and unobservable disturbances
- Observer-Based Stabilization for Linear Multi-Agent Dynamical Systems Using Generalized Frequency Variables
- A characteristic function framework for chance constraint programming in stochastic model predictive control
- On Piecewise Quadratic Terminal Costs for MPC
- Ensuring reliability in 100% renewable microgrids: a scenario-based joint planning and operational design framework
- Direct Data-Driven Linear Quadratic Tracking via Policy Optimization
- Watts vs. Bytes: Turning Data Centers into Grid Assets via Storage Compute Co-Optimization
- The Score Kalman Filter
- Automated Curriculum Design for High-dimensional Human Motor Learning
- Distributionally Robust Model Predictive Control for Virtual Power Plants
- On the Nonexistence of Continuous Immersions for Discrete-time Systems
- DIPA: Distilled Preconditioned Algorithms for Solving Imaging Inverse Problems
- D-Optimized Sampling Design for System Identification
- Bounded-Input True Proportional Navigation for Impact-Time Control
- Day-to-Day Traffic Network Modeling under Route-Guidance Misinformation: Endogenous Trust and Resilience in CAV Environments
- Estimation Problems and the Modulating Function Method: The Algebra of Modulating Functions
- Hierarchical 2-degree-of-freedom control combining Youla-Kucera parameterization and model predictive control
- Multi-Agent System Identification with Nonlinear Sheaf Diffusion
- Quadratic Forms in Gaussian Random Variables Theoretical Results and Applications
- Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
- Action Recommendations for Sequentially Rational Strategic Agents
- Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo
- Stochastic Differential Dynamic Programming for Trajectory Optimization under Partial Observability
- Maximal Controlled Invariant-MPC: Enhancing Feasibility and Reducing Conservatism through Terminal CBF Constraint in Safety-Critical Control
- Absolute Stability of Nonlinear Negative Imaginary Systems with Application to Potential Energy Shaping
- Minimizing the Expected Cost of Synchronization in Lossless Power Networks
- Dynamic Quantum-Assisted Co-Design of Controller and Lyapunov Candidate Parameters for Nonlinear Systems
- Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems
- The interplay of signal-to-noise ratio and variance misspecification in Gaussian mixtures
- Local Geometry of Least Squares for Unmixing Signals with Parameter-Dependent Dictionaries
- Distributed Attraction-Repulsion Potential for Multi-Agent Formation Control
- Feedback Linearization of Hyperbolic PDEs with Volterra Nonlinearities
- Robust Geometric Control of Catenary Robots under Unstructured Force Uncertainties
- Model-Free Dynamic Mode Adaptive Control for Data-Driven Control Synthesis
- Spectral Boundary Observer for Counter-Flow Heat Exchangers
- Distributed adaptive estimation for stochastic large regression models
- Region of Attraction of a Backstepping Observer for the Quasilinear Heat Equation
- Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
- Extracting Exact Lie Derivatives Without Backpropagation: A Dual Compiler for Neural Control Barrier Functions
- Sliding Mode Control for Safe Trajectory Tracking with Moving Obstacles Avoidance: Experimental Validation on Planar Robots
- Interval Observer Design Using Observability Decomposition for Detectable Linear Systems
- Defining the Magnetization State of LCF Magnets: From Material Properties to Motor-Level Metrics
- A Vehicle Routing Problem for Human-Centered Electric Mobility
- Probabilistic Hazard Analysis Framework with Stochastic Optimal Control for Deteriorating Civil Infrastructure Systems
- Optimum adaptation of a Steiner network
- A Convexified Eulerian Framework for Scalable Coordination of Massive DER Populations
- Approximate Simulation-based Hierarchical Control of Nonlinear Systems
- A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems
- On the dynamic behavior of the network SIRS epidemic model
- Deep Image Prior for photoacoustic tomography can mitigate limited-view artifacts