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Found 13 papers, 1 papers with code
A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy
In this study, we introduce a toll lane framework that optimizes the mixed flow of autonomous and high-occupancy vehicles on freeways, where human-driven and autonomous vehicles of varying commuter occupancy share a segment.
Clustering Techniques for Stable Linear Dynamical Systems with applications to Hard Disk Drives
In Robust Control and Data Driven Robust Control design methodologies, multiple plant transfer functions or a family of transfer functions are considered and a common controller is designed such that all the plants that fall into this family are stabilized.
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning
Diffusion models have risen as a powerful tool in robotics due to their flexibility and multi-modality.
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
Diffusion generative modeling has become a promising approach for learning robotic manipulation tasks from stochastic human demonstrations.
Data-Driven Track Following Control for Dual Stage-Actuator Hard Disk Drives
In this paper, we present a frequency domain data-driven feedback control design methodology for the design of tracking controllers for hard disk drives with two-stage actuator as a part of the open invited track 'Benchmark Problem on Control System Design of Hard Disk Drive with a Dual-Stage Actuator' in the IFAC World Congress 2023 (Yokohoma, Japan).
Data-Driven Strictly Positive Real System Identification with prior System Knowledge
Strictly Positive Real (SPR) transfer functions arise in many areas of engineering like passivity theory in circuit analysis and adaptive control to name a few.
Adaptive Feedforward Reference Design for Active Vibration Rejection in Multi-Actuator Hard Disk Drives
In December 2017, Seagate unveiled the Multi Actuator Technology to double the data performance of the future generation hard disk drives (HDD).
System Identification in Multi-Actuator Hard Disk Drives with Colored Noises using Observer/Kalman Filter Identification (OKID) Framework
Multi Actuator Technology in Hard Disk drives (HDDs) equips drives with two dual stage actuators (DSA) each comprising of a voice coil motor (VCM) actuator and a piezoelectric micro actuator (MA) operating on the same pivot point.
Employing Altruistic Vehicles at On-ramps to Improve the Social Traffic Conditions
We give the conditions for the proportion of altruistic vehicles and the weight configuration of the altruistic costs, under which the social delay can be decreased or reach the optimal.
A Highway Toll Lane Framework that Unites Autonomous Vehicles and High-occupancy Vehicles
We consider the scenario where human-driven/autonomous vehicles with low/high occupancy are sharing a segment of highway and autonomous vehicles are capable of increasing the traffic throughput by preserving a shorter headway than human-driven vehicles.
Frequency Separation based Adaptive Feedforward Control for Rejecting Wideband Vibration with Application to Hard Disk Drives
Starting from the first region, the feedforward control parameters are learned simultaneously with the low order plant model in the same region and then moves to the next region until all the regions are performed.
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning
Many potential applications of reinforcement learning in the real world involve interacting with other agents whose numbers vary over time.
Multi-agent Reinforcement Learning
reinforcement-learning
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Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs
Deep neural networks can be powerful tools, but require careful application-specific design to ensure that the most informative relationships in the data are learnable.
