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- W2974927897 abstract "We present a new neuroadaptive architecture: Deep Neural Network based Model Reference Adaptive Control (DMRAC). Our architecture utilizes the power of deep neural network representations for modeling significant nonlinearities while marrying it with the boundedness guarantees that characterize MRAC based controllers. We demonstrate through simulations and analysis that DMRAC can subsume previously studied learning based MRAC methods, such as concurrent learning and GP-MRAC. This makes DMRAC a highly powerful architecture for high-performance control of nonlinear systems with long-term learning properties." @default.
- W2974927897 created "2019-09-26" @default.
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- W2974927897 date "2019-09-18" @default.
- W2974927897 modified "2023-09-27" @default.
- W2974927897 title "Deep Model Reference Adaptive Control" @default.
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