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Reinforcement learning is one of the major neural-network approaches to learning control. How should it be viewed from a control systems perspective? Control problems can be divided into two classes: 1) regulation and tracking problems, in which the objective is to follow a reference trajectory, and 2) optimal control problems, in which the objective is to extremize a functional of the controlled...
Avast range of technological systems-from aerospace vehicles to chemical processes to Segways-depend on feedback control. These applications typically rely on a combination of classical and modern control techniques, logic for mode switching, and diagnostics for fault detection to ensure safety and reliability, all of which are validated and verified through simulation and testing. A feedback control...
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