Results 61 to 70 of about 1,828,697 (335)

Recursive nonlinear-system identification using latent variables [PDF]

at - Automatisierungstechnik, 2016
In this paper we develop a method for learning nonlinear systems with multiple outputs and inputs. We begin by modelling the errors of a nominal predictor of the system using a latent variable framework.
Per Mattsson, D. Zachariah, P. Stoica
semanticscholar   +1 more source

Proteasome inhibitor, ixazomib prevents topoisomerase‐I degradation and reverses irinotecan resistance in colorectal cancer

Molecular Oncology, EarlyView.
Ixazomib inhibits proteasome‐mediated degradation of topoisomerase I induced by irinotecan, thereby restoring drug sensitivity and promoting tumor cell death in colorectal cancer. Irinotecan, a topoisomerase I (topoI) inhibitor, is widely used for colorectal cancer, but resistance remains a major clinical challenge.
Yuho Ebata, Koji Ando, Hirofumi Hasuda, Koshi Mimori, Elizabeth C. Unan, Siddhartha Pulukuri, Aahana Tiku, Allison Berger, Eiji Oki, Ajit Bharti, Tomoharu Yoshizumi   +10 more
wiley   +1 more source

Active noise control algorithm based on a neural network and nonlinear input-output system identification model

Archives of Acoustics, 2013
The development of digital signal processors and the increase in their computing capabilities bring opportunities to employ algorithms with multiple variable parameters in active noise control systems.
Tomasz KRUKOWICZ
doaj  

Data-Driven Photovoltaic System Modeling Based on Nonlinear System Identification

International Journal of Photoenergy, 2016
Solar photovoltaic (PV) energy sources are rapidly gaining potential growth and popularity compared to conventional fossil fuel sources. As the merging of PV systems with existing power sources increases, reliable and accurate PV system identification is
Ayedh Alqahtani, Mohammad Alsaffar, Mohamed El-Sayed, Bader Alajmi   +3 more
doaj   +1 more source

Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record

, 2018
Many real world systems exhibit a quasi linear or weakly nonlinear behavior during normal operation, and a hard saturation effect for high peaks of the input signal.
Dreesen, Philippe, Marconato, Anna, Relan, Rishi, Schoukens, Johan, Tiels, Koen   +4 more
core   +1 more source

Engineering tandem VHHs to target different epitopes to enhance antibody‐dependent cell‐mediated cytotoxicity

FEBS Open Bio, EarlyView.
Tandem VHH targeting distinct EGFR epitopes were engineered into a monovalent bispecific antibody (7D12‐EGA1‐Fc) with more potent ADCC without increasing affinity to EGFR. Structural modeling of 7D12‐EGA1‐Fc showed cross‐linking of separate EGFR domains to enhance CD16a engagement on NK cells.
Yuqiang Xu, Hao Jiang, Limin Chen, Fulai Zhou, Ying Jin, Mark L. Chiu   +5 more
wiley   +1 more source

Applied Koopman Operator Theory for Power Systems Technology [PDF]

, 2016
Koopman operator is a composition operator defined for a dynamical system described by nonlinear differential or difference equation. Although the original system is nonlinear and evolves on a finite-dimensional state space, the Koopman operator itself ...
Hikihara, Takashi, Mezic, Igor, Raak, Fredrik, Susuki, Yoshihiko   +3 more
core   +2 more sources

Three Benchmarks Addressing Open Challenges in Nonlinear System Identification

, 2017
Nonlinear system identification is a fast evolving field of research with contributions from different communities. It is not always straightforward to compare different models and identification approaches.
M. Schoukens, J. Noël
semanticscholar   +1 more source

Sparse Bayesian Nonlinear System Identification Using Variational Inference

IEEE Transactions on Automatic Control, 2018
Bayesian nonlinear system identification for one of the major classes of dynamic model, the nonlinear autoregressive with exogenous input (NARX) model, has not been widely studied to date.
William R. Jacobs, T. Baldacchino, T. Dodd, S. Anderson   +3 more
semanticscholar   +1 more source

C2α‐carbanion‐protonating glutamate discloses tradeoffs between substrate accommodation and reaction rate in actinobacterial 2‐hydroxyacyl‐CoA lyase

FEBS Open Bio, EarlyView.
Enzymes of the 2‐hydroxyacyl‐CoA lyase group catalyze the condensation of formyl‐CoA with aldehydes or ketones. Thus, by structural adaptation of active sites, practically any pharmaceutically and industrially important 2‐hydroxyacid could be biotechnologically synthesized. Combining crystal structure analysis, active site mutations and kinetic assays,
Michael Zahn, Barbara Seroka, Ryszard Lazny, Zenon Lotowski, Thore Rohwerder   +4 more
wiley   +1 more source