Results 21 to 30 of about 30,951 (136)
Formation Control of Non-Holonomic Mobile Robots: Predictive Data-Driven Fuzzy Compensator
A key research topic in the field of robotics is the formation control of a group of robots in trajectory tracking problems. Using organized robots has many advantages over using them individually, such as efficient use of resources, increased ...
Jinfeng Wang +5 more
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To ensure the successful implementation of Nature-Based Solutions (NBS), it is essential to assess the perception of key stakeholders. To visualize the perception of NBS key stakeholders and to identify potential opportunities and eventual conflicting ...
Amir Gholipour +3 more
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Infectious disease outbreaks with pandemic potential present challenges for mitigation and control. Policymakers must reduce disease-associated morbidity and mortality while also minimizing socioeconomic costs of interventions.
Ofer Cornfeld +8 more
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Control Law Design with Dead-beat Property in Continuous-Time Dynamical Systems [PDF]
In this paper, an open loop control scheme is developed in order to design a dead-beat control effort in the high order continuous-time systems. The dead-beat control is really a finite-time control law. In this method, the input signal has been manually
Valiollah Ghaffari
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Effective pandemic policy design through feedback does not need accurate predictions
The COVID-19 pandemic has had an enormous toll on human health and well-being and led to major social and economic disruptions. Public health interventions in response to burgeoning case numbers and hospitalizations have repeatedly bent down the epidemic
Klaske van Heusden +3 more
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Does Arctic governance hold the key to achieving climate policy targets?
Arctic feedbacks are increasingly viewed as the wild card in the climate system; but their most unpredictable and potentially dangerous aspect may lie in the human, rather than the physical, response to a warming climate.
Robert Forbis Jr, Katharine Hayhoe
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Closed-Loop Deep Brain Stimulation With Reinforcement Learning and Neural Simulation
Deep Brain Stimulation (DBS) is effective for movement disorders, particularly Parkinson’s disease (PD). However, a closed-loop DBS system using reinforcement learning (RL) for automatic parameter tuning, offering enhanced energy efficiency and ...
Chia-Hung Cho +3 more
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The Hydrosocial Cycle (HSC) has been widely applied and discussed as a consolidated research line to rethink the contemporary challenges that condition the urban and agroecosystem nexus.
Sandra Ricart +10 more
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Toward a Multi-Layer Defence Framework for Securing Near-Real-Time Operations in Open RAN
Securing the near-real-time (near-RT) control operations in Open Radio Access Networks (Open RAN) is increasingly critical, yet remains insufficiently addressed, as new runtime threats target the control loop while the system is operational.
Hamed Alimohammadi +4 more
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The COVID-19 pandemic experience has highlighted the importance of developing general control principles to inform future pandemic preparedness based on the tension between the different control options, ranging from elimination to mitigation, and ...
Giulio Pisaneschi +5 more
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