Results 101 to 110 of about 9,248,475 (299)
The Design of Linear Multivariable Systems
IFAC Proceedings Volumes, 1972 Abstract This paper describes a computer-aided procedure whereby a succession of singleloop designs, using Nyquist loci, yield a multivariable design which is stable and strongly attenuates disturbances. The procedure permits more freedom than heretofore available for the choice of the compensating matrix.
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch +5 more
wiley +1 more source
Multivariable Identification and Control of a Calorimeter Used for Performance Evaluation of Refrigerant Compressors [PDF]
, 2012 Refrigerant compressors are relatively complex products that require a wide variety of tests to be performed for both product development and quality control. Performance tests are an example of such tests and they are typically performed using test rigs
Rosa, André P. +3 more
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High Performance multivariable spectral estimator with Bounded McMillan Degree [PDF]
, 2010 Spectral estimation is a prominent issue with applications in a widespread variety of fields, from signal processing to biology. To the present, multivariable spectral estimation with complexity constraints on the acceptable solutions is a challenging ...
Masiero, Chiara
core
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
Multi-Variable Transformer-Based Meta-Learning for Few-Shot Fault Diagnosis of Large-Scale Systems
SensorsFault diagnosis in large-scale systems presents significant challenges due to the complexity and high dimensionality of data, as well as the scarcity of labeled fault data, which are hard to obtain during the practical operation process.
Weiyang Li, Yixin Nie, Fan Yang
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Comparative Performance Evaluation of an Accuracy-Enhancing Lyapunov Solver
Information, 2019 Lyapunov equations are key mathematical objects in systems theory, analysis and design of control systems, and in many applications, including balanced realization algorithms, procedures for reduced order models, Newton methods for algebraic Riccati ...
Vasile Sima
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Investigation of multivariable systems
Applied Mathematical Modelling, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephanis, Basil +2 more
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Rejection of fixed direction disturbances in multivariable electromechanical motion systems
, 2010 This work discusses rejection of disturbances with known directions in multivariable motion systems. It is shown how frequency domain tradeoffs in multivariable control motivate a design where the directions of disturbance are considered explicitly.
Jager, de, A.G. +4 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To describe long‐term outcomes after anti‐CD20 discontinuation in selected patients with secondary progressive multiple sclerosis (SPMS) who remained without subsequent disease‐modifying therapy (DMT). Methods We retrospectively analyzed data from four centers in Austria and Switzerland.
Ferdinand Otto +12 more
wiley +1 more source