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Found 5 papers, 1 papers with code
Predictive Control of Linear Discrete-Time Markovian Jump Systems by Learning Recurrent Patterns
Incorporating pattern-learning for prediction (PLP) in many discrete-time or discrete-event systems allows for computation-efficient controller design by memorizing patterns to schedule control policies based on their future occurrences.
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: 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.
