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"Human-machine Authority Allocation in Indirect Cooperative Shared Stee" by Hongbo Wang, Lizhao Feng et al.

In the man-machine co-driving, most of the existing indirect cooperative shared steering control(ICSSC) strategies adopt fixed driver models and are designed based on rules. However, the fixed driver model is difficult to match with the actual situation, and the rule-based strategy is hard to be designed under the multi-dimensional feature input and the multi-objective conditions and require complicated parameters adjustment. A driver model that conforms to the driving characteristics of drivers with actual driving data is established, and an ICSSC strategy is proposed based on reinforcement learning in this paper, so as to realize the dynamic allocation of human-machine steering driving weight. Firstly, the vehicle dynamics model is established according to the vehicle longitudinal, lateral and yaw dynamics, the driver driving data is collected, and then the trajectory tracking MPC (Model Predictive Control) steering controller is designed. Secondly, DQN (Deep Q-Network), DDPG (Deep D ....

Model Predictive Control , Deepq Network , Deep Deterministic Policy Gradient , Twin Delayed Deep Deterministic Policy Gradient , Heuristic Algorithms , Human Machine Systems , Ndirect Shared Steering Control Strategy , An Machine Co Driving , Multi Objective , Reinforcement Learning , Resource Management , Vehicle Dynamics , Weight Distribution ,

Achieving optimal advanced process control in bioproduction

Achieving optimal advanced process control in bioproduction
europeanpharmaceuticalreview.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from europeanpharmaceuticalreview.com Daily Mail and Mail on Sunday newspapers.

Predictive Control , Bioprocess Control , Model Predictive Control , Integrated Continuous Bioprocessing ,

Using Algorithms to Optimize Bioprocesses

Using Algorithms to Optimize Bioprocesses
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Norwegian University Of Science , Bioprocessing Summit Europe , Nadav Bar , Norwegian University , Model Predictive Control ,

UC Berkeley ROAR Racers Among Top Teams to Demo Next-Gen Autonomous Racecars at CES 2024

BERKELEY, Calif. (BUSINESS WIRE) The University of California, Berkeley,
Three top racing teams from this year’s IAC competition will test out the next-gen ....

United States , San Diego , Allen Yang , Siddharth Saha , Pi John Dolan , S Shankar Sastry , Pi Jack Silberman , Tianlun Zhang , Pratt Miller , Paul Mitchell , Haoru Xue , Chris Lai , University Of Hawaii , Ai Racing Tech Team , Bytetrade Lab , University Of California , Carnegie Mellon University , Autonomous Vehicle , Tech Team , New Eagle , Point One Navigation , Indy Autonomous , Robot Open Autonomous Racing , Autonomous Systems , Intelligent Machines , Human In The Loop Control ,

UC Berkeley ROAR Racers Among Top Teams to Demo Next-Gen Autonomous Racecars at CES 2024

UC Berkeley ROAR Racers Among Top Teams to Demo Next-Gen Autonomous Racecars at CES 2024
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United States , San Diego , Allen Yang , Chris Lai , Pi John Dolan , Pratt Miller , S Shankar Sastry , Siddharth Saha , Paul Mitchell , Pi Jack Silberman , Haoru Xue , Las Vegas , Tianlun Zhang , Ai Racing Tech Team , Carnegie Mellon University , University Of California , Bytetrade Lab , University Of Hawaii , Among Top Teams , Demo Next Gen Autonomous Racecars , Robot Open Autonomous Racing , Indy Autonomous Challenge , Autonomous Vehicle , Tech Team , New Eagle , Point One Navigation ,