Results 51 to 60 of about 9,248,475 (299)
Progress in the Design of Multivariable Control Systems
Measurement + Control, 1971 Frequency-response methods have not widely been applied to multivariable systems in which interaction is significant. The paper describes some recent progress in using computers with graphic output for this purpose.
H. H. Rosenbrock BSc, PhD, DSc, CEng, FIEE, MIChemE
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A Modified LQG Algorithm (MLQG) for Robust Control of Nonlinear Multivariable Systems [PDF]
Modeling, Identification and Control, 1993 The original LQG algorithm is often characterized for its lack of robustness. This is because in the design of the estimator (Kalman filter) the process disturbance is assumed to be white noise. If the estimator is to give good estimates, the Kalman gain
Jens G. Balchen
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Time-Domain Stab巡tyAnalysis on Multivariable Nonlinear Control Systems [PDF]
, 1997 In this paper an extention for Haddad's method. which is the time-domain stability analysis on scalar nonlinear control systems,to multivariable nonlinear control systems are proposed and two BIBO stability criteria and two global asymptotic stability ...
WANG, Xihong +3 more
core
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
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Multivariable controller design using pareto front [PDF]
, 2011 A multivariable thermal system with two inputs and two outputs is investigated. Its inputs are a pair of heaters controlled by a computer while its outputs are temperatures measured by two sensors.
Ho, Ka Wing
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A Fuzzy Difference Equation Matrix Model for the Control of Multivariable Nonlinear Systems
Applied SciencesThis paper proposes the Fuzzy Difference Equation Matrix Model (FDEMM), a novel predictive control algorithm designed for nonlinear multivariable systems.
Basil Mohammed Al-Hadithi +2 more
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Design of a multivariable neural controller for control of a nonlinear MIMO plant
International Journal of Applied Mathematics and Computer Science, 2014 The paper presents the training problem of a set of neural nets to obtain a (gain-scheduling, adaptive) multivariable neural controller for control of a nonlinear MIMO dynamic process represented by a mathematical model of Low-Frequency (LF) motions of a
Bańka Stanisław +2 more
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Maximal imaginery eigenvalues in optimal systems [PDF]
Modeling, Identification and Control, 1991 In this note we present equations that uniquely determine the maximum possible imaginary value of the closed loop eigenvalues in an LQ-optimal system, irrespective of how the state weight matrix is chosen, provided a real symmetric solution of the ...
David Di Ruscio
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Molecular Oncology, EarlyView.High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira +7 more
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IET Control Theory & Applications, 2021 In this paper, the state‐dependent impulsive consensus problem of nonlinear multi‐agent systems in directed topology with fully relative state constraint impulses is investigated.
Qiangqiang Zhang +3 more
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