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Feasibility study of Energetics in Nature-inspired Foraging for Lunar Resource Exploitation
Feasibility study of Energetics in Nature-inspired Foraging for Lunar Resource Exploitation
A secure control framework for self-triggered control
A secure control framework for self-triggered control: Exploiting aperiodic sampling for the detection and prevention of stealthy attacks
Real-time Adaptive Nonlinear MPC for Collision Imminent Control and Planning in Automated Vehicles
Real-time Adaptive Nonlinear MPC for Collision Imminent Control and Planning in Automated Vehicles: Enforcing constraints and utilizing the full control potential
Model-based motion optimization for quadruped robots with an actuated articulated torso
Model-based motion optimization for quadruped robots with an actuated articulated torso
Scheduling of Periodic Event-Triggered Control to balance Control Performance and Average Inter-Sample Times
Scheduling of Periodic Event-Triggered Control to balance Control Performance and Average Inter-Sample Times
Efficient Communication in Robust Multi-agent Reinforcement Learning
Efficient Communication in Robust Multi-agent Reinforcement Learning: Trading Observational Robustness for Fewer Communications
Multi-Sensor Fusion of IMU, LIDAR and Wheel Encoders
Multi-Sensor Fusion of IMU, LIDAR and Wheel Encoders: Towards Tightly-Coupled Odometry
Traffic efficient control of a water irrigation system
Traffic efficient control of a water irrigation system
Indoor Localization with Multi-Rate Extended Kalman Filter
Indoor Localization with Multi-Rate Extended Kalman Filter: Based on Elisa-3 robot
Consensus Algorithms for Single-Integrator Multi-Agent Systems
Consensus Algorithms for Single-Integrator Multi-Agent Systems
Optimised State-Dependent Sampling Control for Heavy-Haul Trains
Optimised State-Dependent Sampling Control for Heavy-Haul Trains
Optimising the Decentralisation of Periodic Event-Triggered Control
Optimising the Decentralisation of Periodic Event-Triggered Control
Linear State-Space System Identification for Automatic Greenhouse Climate Control
Linear State-Space System Identification for Automatic Greenhouse Climate Control
An Artificial Neural Network Approach to Within-Game Predictions in Football using Spatiotemporal Data
An Artificial Neural Network Approach to Within-Game Predictions in Football using Spatiotemporal Data
Deep Reinforcement Learning for the Synthesis of Self-Triggered Sampling Strategies
Deep Reinforcement Learning for the Synthesis of Self-Triggered Sampling Strategies
A Fully Implantable Closed-loop System for Autonomous Opioid Detection and Treatment
A Fully Implantable Closed-loop System for Autonomous Opioid Detection and Treatment
Applying Koopman Methods for Nonlinear Reachability Analysis
Applying Koopman Methods for Nonlinear Reachability Analysis
Formal Synthesis of Event-Triggered Controllers
Formal Synthesis of Event-Triggered Controllers
Efficient Scheduler Synthesis For Periodic Event Triggered Control Systems
Efficient Scheduler Synthesis For Periodic Event Triggered Control Systems: An Approach With Binary Decision Diagrams
Event triggered non-cooperative game theory for demand side management in smart grids
Event triggered non-cooperative game theory for demand side management in smart grids
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