Results 21 to 30 of about 290,658 (309)
A multivariable multiobjective predictive controller [PDF]
International Journal of Applied Mathematics and Computer Science, 2013 Predictive control of MIMO processes is a challenging problem which requires the specification of a large number of tuning parameters (the prediction horizon, the control horizon and the cost weighting factor). In this context, the present paper compares two strategies to design a supervisor of the Multivariable Generalized Predictive Controller (MGPC),
Faten Ben Aicha +2 more
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DISPERSION CONTROL FOR MULTIVARIATE PROCESSES [PDF]
Australian Journal of Statistics, 1996 SummaryThis paper presents some techniques for monitoring and controlling the dispersion of multivariate normal processes based on subgroup data. The procedures involve use of independent statistics resulting from the decomposition of the covariance matrix.
Tang, Pak F., Barnett, Neil S.
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Research on Variable Cycle Engine Control Based on Model Reference Adaptive Sliding Mode Control Method [PDF]
Xibei Gongye Daxue Xuebao, 2018 As to solve the problem of multivariable output tracking control of variable cycle engine under system uncertainties and external disturbances, an augmented model reference adaptive sliding mode control method based on LQR method was developed.
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Cognitive Control as a Multivariate Optimization Problem [PDF]
Journal of Cognitive Neuroscience, 2022 AbstractA hallmark of adaptation in humans and other animals is our ability to control how we think and behave across different settings. Research has characterized the various forms cognitive control can take—including enhancement of goal-relevant information, suppression of goal-irrelevant information, and overall inhibition of potential responses ...
Harrison Ritz +2 more
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Optimal control of nonlinear systems: a predictive control approach [PDF]
, 2003 A new nonlinear predictive control law for a class of multivariable nonlinear systems is presented in this paper. It is shown that the closed-loop dynamics under this nonlinear predictive controller explicitly depend on design parameters (prediction time
Gawthrop, P. J. +8 more
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Switching between multivariable controllers [PDF]
Optimal Control Applications and Methods, 2004 AbstractA concept for implementation of multivariable controllers is presented in this paper. The concept is based on the Youla–Jabr–Bongiorno–Kucera (YJBK) parameterization of all stabilizing controllers. Using this scheme for implementation of multivariable controllers, it is shown how it is possible to smoothly switch between multivariable ...
Niemann, H. +2 more
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A Self-Contained Cylinder Drive with Indirectly Controlled Hydraulic Lock [PDF]
Modeling, Identification and Control, 2020 This paper presents a self-contained pump-controlled hydraulic linear drive including an innovative load holding sub-circuit. For safety critical applications such as crane manipulators, locking valves or load holding valves are enforced by legislation ...
Søren Ketelsen +3 more
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Hard constraints in control state variables of multivariable nonlinear processes resolved by elementary nonlinear decoupling [PDF]
Modeling, Identification and Control, 1998 A model based control strategy for nonlinear multivariable processes having hard constraints on both control and state variables, is derived based upon the concept of Elementary Nonlinear Decoupling (END). In END a property space is defined which has the
Jens G. Balchen, Bjarne Sandrib
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Fractal and Fractional, 2020 Multiple-input multiple-output (MIMO) systems are usually present in process systems engineering. Due to the interaction among the variables and loops in the MIMO system, designing efficient control systems for both servo and regulatory scenarios remains
Alexandre Marques de Almeida +2 more
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MULTIVARIABLE CONTROL IN HELICOPTERS
Electrica, 2019 In this paper, general control approaches are evaluated for helicopter system. Control of a helicopter is its ability to respond to control inputs and achieve the desired condition of flight.
Oguz BAYAT, Osman N. UCAN
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