Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
This project implements a complete event-driven spiking neural network (SNN) accelerator on FPGA with seamless PyTorch integration for training and deployment. The design uses Accumulate-only (AC) ...
Abstract: In this paper, we propose a dynamic event-triggered control (DETC) method that uses the adaptive dynamic programming (ADP) algorithm to address mixed zero-sum games (MZSGs). The designed ...
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