Results 231 to 240 of about 1,295,689 (289)

Enhancing IELTS writing automated scoring with M-LoRA fine-tuned LLAMA-3 and human feedback-driven PPO reinforcement learning. [PDF]

Sci Rep
Xu W, Kassim MSS, Mahmud R.
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Synthesizing scientific literature with retrieval-augmented language models. [PDF]

Nature
Asai A, He J, Shao R, Shi W, Singh A, Chang JC, Lo K, Soldaini L, Feldman S, D'Arcy M, Wadden D, Latzke M, Sparks J, Hwang JD, Kishore V, Tian M, Ji P, Liu S, Tong H, Wu B, Xiong Y, Zettlemoyer L, Neubig G, Weld DS, Downey D, Yih WT, Koh PW, Hajishirzi H.   +27 more
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Mechanistic explanation of neuroplasticity using equivalent circuits. [PDF]

Front Comput Neurosci
Nilsson MNP.
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Output feedback neurolinearization

ISA Transactions, 2001
Output-feedback neurolinearization as a new method in model independent input/output linearization has been developed. In this method input-output linearization is done only based on the input-output data of the system. The performance of this new method is compared to the global linearizing control (GLC) and to a conventional PI controller.
R B, Boozarjomehry, W Y, Svrcek
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Periodic output feedback

1982 21st IEEE Conference on Decision and Control, 1982
Linear time-invariant discrete-time scalar systems under periodically varying output feedback are considered. Some previous results on pole-placement are summarized, and extensions of these results are presented. The movement of zeros is also discussed.
John Greschak, George Verghese
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Output feedback control

Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 2002
Nash game type of multiobjective output feedback control problems are considered. Sufficient conditions for the existence of optimal controllers are obtained for both finite horizon and infinite horizon problems.
null Xiang Chen, G. Salomom, K. Zhou
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Minimax Output Feedback Regulators

Journal of Dynamic Systems, Measurement, and Control, 1976
The linear quadratic regulator problem is considered, and a method for obtaining an optimal output feedback control subject to a minimax performance index is presented. The optimal constant feedback matrix, which denotes the optimal constant feedback gains, is determined by minimizing the effects of the worst value of the initial state on the system ...
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LQP: Dominant output feedbacks

IEEE Transactions on Automatic Control, 1982
An output feedback matrix F will be said to dominate another, \bar{F} , if the cost for F is not higher for any initial condition than the cost for \bar{F} and if the cost is lower for some (perhaps all) initial conditions. The output feedback obtained by, for example, the Levine-Athans approach does not necessarily dominate the open-loop feedback \bar{
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