Improved PER-DDPG based nonparametric modeling of ship dynamics with uncertainty

Distribution Network Reconfiguration Considering the Impacts of Local Renewable Generation and External Power Grid

An epsilon-constraint-based exact multi-objective optimization approach for the ship schedule recovery problem in liner shipping

Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning

On the quantitative resilience assessment of complex engineered systems

Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback

Decision making under deep uncertainty for pandemic policy planning

Stochastic Stability of Discrete-time Phase-coupled Oscillators over Uncertain and Random Networks

Non-destructive strength prediction of composite laminates utilizing deep learning and the stochastic finite element methods

Capturing the uncertainty about a sudden change in the properties of time series with confidence curves

Modeling Pedestrian Tactical and Operational Decisions Under Risk and Uncertainty: A Two-Layer Model Framework

Abstracting the Traffic of Nonlinear Event-Triggered Control Systems

Adaptive Prescribed Performance Asymptotic Tracking for High-Order Odd-Rational-Power Nonlinear Systems

Robustness Analysis of Platoon Control for Mixed Types of Vehicles

Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation

Impact of Leader-Follower Behavior on Evacuation Performance: An Exploratory Modeling Approach

Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach

Promises of Deep Kernel Learning for Control Synthesis

Formal Abstraction of General Stochastic Systems via Noise Partitioning

Towards Effective Planning and Control of Complex EPC Construction Projects