Results 31 to 40 of about 201,713 (268)
Modeling constraint-based processes: A supervisory control theory application
Computer Science and Information Systems, 2014 Constraint-based processes require a set of rules that limit their behavior to certain boundaries. In these processes, the control flow is defined implicitly as a set of constraints or rules, and all possibilities that do not violate any of the given constraints are allowed to be executed.
Eduardo Alves Portela Santos +3 more
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Semi-Markov and hidden semi-Markov models of energy systems
E3S Web of Conferences, 2018 The problem of information control systems creation for energy systems and transition to intelligent control and engineering is one of the important problems of reliability and efficiency theory for energy systems.
Obzherin Yuriy E.
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Model of the Human Observer and Controller of a Dynamic System Theory and Model Application to Ship Handling [PDF]
IFAC Proceedings Volumes, 1988 Abstract The MMS model presented in this paper describes rather detailed human control of a dynamic system. The model is an integration and extension of previously developed (validated) (sub)models. The model describes human control of a dynamic system, involving intermittent control behavior during finite time intervals and, therefore, decision ...
P.H. Wewerinke, C. van der Tak
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Fuzzy Modeling and Control: Theory and Applications [PDF]
, 2014 Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the existing books in the field are compilations of articles without interconnection or logical structure or they express the personal point of view of the author.
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Theories and control models and motor learning: Clinical applications in neurorehabilitation
Neurología (English Edition), 2015 In recent decades there has been a special interest in theories that could explain the regulation of motor control, and their applications. These theories are often based on models of brain function, philosophically reflecting different criteria on how movement is controlled by the brain, each being emphasised in different neural components of the ...
R. Cano-de-la-Cuerda +6 more
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Measurement: Sensors, 2023 At present, in terms of model predictive control theory and model applications, two-layer segmented linear grid models are dominant. The two-layer piecewise linear lattice model is more effective, does not require too many parameters and is easy to ...
Xiaoying Qie
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Internal Model Control - Theory and Applications
IFAC Proceedings Volumes, 1983 Abstract Process control is characterized by severe modelling problems. Therefore, robustness of the control system, that is, stability and acceptable performance in the event of plant parameter changes and sensor and/or actuator failure is of paramount importance. During the past few years a multivariable control system design method, Internal Model
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Simulation analysis on semi-active control drop dynamics of whole aircraft landing gear
Hangkong gongcheng jinzhan, 2023 The application of semi-active control technology on landing gear is mostly limited to single or magnetorheological landing gear. The research on the whole aircraft is more valuable for the practical application of semi-active control.
REN Panting, XU Feng
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Quantum geometric machine learning for quantum circuits and control
New Journal of Physics, 2020 The application of machine learning techniques to solve problems in quantum control together with established geometric methods for solving optimisation problems leads naturally to an exploration of how machine learning approaches can be used to enhance ...
Elija Perrier, Dacheng Tao, Chris Ferrie
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Nonlinear Engineering, 2019 Modelling and control applications of dynamical systems in chaos theory arising in several areas are investigated and new control techniques are designed in the chaos literature.
Vaidyanathan Sundarapandian +3 more
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