Deep reinforcement learning is one of the research hotspots in artificial intelligence and has been successfully applied in many research areas; however, the low training efficiency and high demand for samples are problems that limit the application ...
Rong Zhou, Zhisheng Zhang, Yuan Wang
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Moving Microgrid Hierarchical Control to an SDN-Based Kubernetes Cluster: A Framework for Reliable and Flexible Energy Distribution [PDF]
Software Defined Networking (SDN) is a communication alternative to increase the scalability and resilience of microgrid hierarchical control. The common architecture has a centralized and monolithic topology, where the controller is highly susceptible ...
Ricardo Pérez +4 more
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Decoding hierarchical control of sequential behavior in oscillatory EEG activity [PDF]
Despite strong theoretical reasons for assuming that abstract representations organize complex action sequences in terms of subplans (chunks) and sequential positions, we lack methods to directly track such content-independent, hierarchical ...
Atsushi Kikumoto, Ulrich Mayr
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Loss of Hierarchical Control by Occasion Setters Following Lesions of the Prelimbic and Infralimbic Medial Prefrontal Cortex in Rats [PDF]
Recent work suggests complementary roles of the prelimbic and infralimbic regions of the rat medial prefrontal cortex in cognitive control processes, with the prelimbic cortex implicated in top-down modulation of associations and the infralimbic cortex ...
Stephanie Roughley, Simon Killcross
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Generalized hierarchical control [PDF]
Multi-objective control systems for complex robots usually have to handle multiple prioritized tasks. Most existing hierarchical control techniques handle either strict task priorities by using null-space projectors or a sequence of quadratic programs; or non strict task priorities by using a weighting strategy.
Liu, Mingxing +2 more
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A Hierarchical Control of Supercapacitor and Microsources in Islanded DC Microgrids
This paper proposes a hierarchical control approach for SuperCapacitor (SC) energy storage and microsources in islanded DC microgrids. It takes into account microsources’ dynamic and steady-state limitations.
Farhad Barati +2 more
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Hierarchical spacetime control [PDF]
Specifying the motion of an animated linked figure such that it achieves given tasks (e.g., throwing a ball into a basket) and performs the tasks in a realistic fashion (e.g., gracefully, and following physical laws such as gravity) has been an elusive goal for computer animators.
Zicheng Liu 0001 +2 more
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Hierarchical Control of Microgrid Using IoT and Machine Learning Based Islanding Detection
Due to the increase in penetration of renewable energy sources, the control technique plays a vital role to determine the performance of Microgrid (MG). Recently, the Internet of Things (IoT) and cloud computing has gained significance in solving various
Waleed Ali +6 more
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Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks
In-hand manipulation and grasp adjustment with dexterous robotic hands is a complex problem that not only requires highly coordinated finger movements but also deals with interaction variability.
Filipe Veiga +3 more
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Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics
Human arm movements are highly stereotypical under a large variety of experimental conditions. This is striking due to the high redundancy of the human musculoskeletal system, which in principle allows many possible trajectories toward a goal.
Isabell Wochner +5 more
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