Results 211 to 220 of about 523 (266)

Targeting Lactate‐Driven Stromal Autophagy via MCT1 Disrupts the Immunosuppressive Niche and Sensitizes Pancreatic Cancer to PD‐1 Blockade

open access: yesAdvanced Science, EarlyView.
Tumor‐derived lactate activates PSCs through MCT1‐mediated Vps34 lactylation and autophagy. These activated PSCs secrete CXCL9/10, upregulating PD‐1 on CD8+ T cells via the CXCR3/STAT3 axis to foster immunosuppression. Disrupting this metabolic crosstalk by targeting MCT1 effectively sensitizes pancreatic cancer to PD‐1 blockade, presenting a promising
Wenfeng Zhuo   +14 more
wiley   +1 more source

Deadbeat control with disturbance rejection

Systems and Control Letters, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly   +3 more sources

On deadbeat controllers

IEEE Transactions on Automatic Control, 1984
Deadbeat tracking is considered. Consider a system described by \(x_{t+1}=A'x_ t+B'u_ t, y_ t=C'x_ t+D'u_ t\) and the reference generator described by \(w_{t+1}=A''w_ t, r_ t=C''w_ t.\) The deadbeat controller is defined by \(z_{t+1}=F'z_ t+G'y_ t+G''r_ t, u_ t=H'z_ t+J'y_ t+J''r_ t\) which makes \(y_ t\) track \(r_ t\) exactly after a finite time t ...
Kučera, V., Šebek, M.
openaire   +2 more sources

Deadbeat Adaptive Control in Feedback

IFAC Proceedings Volumes, 1983
Abstract This paper is concerned with presenting a new procedure for designing adaptive control input of a linear multivariable discrete system with having unknown order for the model reference adaptive control problem. The adaptive control scheme proposed here exhibits more advanced characteristics than the previous ones. 1.
Y. Yamane, P.N. Nikiforuk, M.M. Gupta
openaire   +1 more source

DEADBEAT SELF TUNING CONTROLLERS

IFAC Proceedings Volumes, 1986
Abstract The design of deadbeat self tuning controllers is discussed. Two types of models - a nonparametric (impulse response) and a parametric (ARMA) one are applied. The nonparametric model is estimated by the correlation method while the estimates of the parametric model are obtained using a modified recursive instrumental variables method.
N.E. Madjarov   +2 more
openaire   +1 more source

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