Results 31 to 40 of about 6,421,352 (290)
Model predictive control of a free piston compressor/expander with an integrated linear motor/alternator [PDF]
, 2019 Linear positive displacement machines are becoming increasingly more attractive for applications that are normally known as unconquerable niches of rotary and scroll machines.
De Paepe, Michel +2 more
core +1 more source
Applied SciencesAgainst the background of the development of control systems, Data Driven Control (DDC) methods are becoming more and more popular, given the system’s independence from physical models and the possibility of quickly tuning the controller.
Andrei Baciu, Corneliu Lazar
doaj +1 more source
Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304), 2003 Model predictive control, MPC, is a model-based control philosophy that select control actions by online optimization of objective functions. Design methods based on MPC have found wide acceptance in industrial process control applications, and have been thoroughly studied by the academia.
openaire +2 more sources
Realization of universal nonadiabatic geometric control on decoherence-free qubits in the XY model
, 2017 A fundamental requirement of quantum information processing is the protection from the adverse effects of decoherence and noise. Decoherence-free subspaces and geometric processing are important steps of quantum information protection. Here, we provide a
Mousolou, Vahid Azimi
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Data Reconstruction Using Smart Sensor Placement
SensorsThis paper deals with spatio-temporal field estimation with efficient sensor placement based on the QR decomposition. The proposed method also identifies the optimal number of sensors needed for field estimation that captures the most relevant features ...
Farnaz Boudaghi +2 more
doaj +1 more source
DDC Control Techniques for Three-Phase BLDC Motor Position Control
Algorithms, 2017 In this article, a novel hybrid control scheme is proposed for controlling the position of a three-phase brushless direct current (BLDC) motor. The hybrid controller consists of discrete time sliding mode control (SMC) with model free adaptive control ...
Rana Javed Masood +3 more
doaj +1 more source
Applied Sciences, 2022 Control of closed-kinematic chain manipulators (CKCM) with uncertain dynamics is a tremendous challenge due to the synchronization among actual joints and end-effectors, limited workspace, and nonexistent closed-form solutions of forward kinematics. This
Tu Thi Cam Duong +2 more
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Gene Hunting with Knockoffs for Hidden Markov Models
, 2017 Modern scientific studies often require the identification of a subset of relevant explanatory variables, in the attempt to understand an interesting phenomenon. Several statistical methods have been developed to automate this task, but only recently has
Candès, Emmanuel J. +2 more
core +1 more source
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Application of Model-Free Control to the Operation of Post-Capture Combined Spacecraft
Aerospace, 2023 A model-free control method is applied to the attitude and orbital operation of the post-capture combined spacecraft, which consists of a space robot and debris. The main contribution of this paper lies in the following three aspects.
Ting Song +3 more
doaj +1 more source