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April 5, 2025
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Decentralized Optimal Control of Distributed Interdependent Automata With Priority Structure Data Flowchart Notation : subsystem model, the plant P i , deterministic finite-state automaton. (1) (2) (3) (4) : P i can be transitioned from state into state if the input l is applied. (5) It encodes with that the transition is possible with at least… read more »
Neural-network-based decentralized control of continuous-time nonlinear interconnected systems with unknown dynamics – Math and Optimal Control Problem formulation Consider a continuous-time nonlinear large-scale system ∑ composed of N interconnected subsystems described by (1) where xi(t) ∈ Rni : state. The overall state of the large-scale system ∑ is denoted by ui [ xi(t) ] ∈ Rmi : control input vector of the ith… read more »
Reinforcement Learning is Direct Adaptive Optimal Control Stanford_cs229-notes12_Andrew_Ng Reinforcement Learning and Control How should Reinforcement learning be viewed from a control systems perspective? Control problems can be divided into two classes: regulation and tracking problems, in which the objective is to follow a reference trajectory. optimal control problems, which the objective is to extremize a… read more »