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Found 7 papers, 3 papers with code
A Low Rank Approach to Minimize Sensor-to-Actuator Communication in Finite Horizon Output Feedback
In this work, we are interested in designing a controller that can be implemented with a minimum number of sensor-to-actuator messages, while satisfying safety constraints over a finite horizon.
Global Performance Guarantees for Localized Model Predictive Control
We also present an algorithm to determine the communication structure for a given system that will preserve performance while minimizing computational complexity.
Internal feedback in the cortical perception-action loop enables fast and accurate behavior
We show here that these delays can be compensated by internal feedback signals that flow backwards, from motor towards sensory areas.
Internal Feedback in Biological Control: Architectures and Examples
In biology, in addition to typical feedback between plant and controller, we observe feedback pathways within control systems, which we call internal feedback pathways (IFPs), that are often very complex.
Internal Feedback in Biological Control: Locality and System Level Synthesis
Motivated by experimental observations on 1) motor-related signals in visual areas, and 2) massively distributed processing in the brain, we approach this problem from a sensorimotor standpoint and make use of distributed optimal controllers to explain IFPs.
Internal Feedback in Biological Control: Diversity, Delays, and Standard Theory
We demonstrate that IFPs are key in enabling this DESS, and additionally that with IFPs removed, controllers with delayed sensing perform poorly.
Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond
The System Level Synthesis (SLS) approach facilitates distributed control of large cyberphysical networks in an easy-to-understand, computationally scalable way.
