Feedforward Nonlinear Control Using Neural Gas Network
Complexity, 2017 Nonlinear systems control is a main issue in control theory. Many developed applications suffer from a mathematical foundation not as general as the theory of linear systems.
Iván Machón-González +1 more
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Postmodern Fuzzy System Theory: A Deconstruction Approach Based on Kabbalah
Systems, 2014 Modern general system theory proposed a holistic integrative approach based on input-state-output dynamics as opposed to the traditional reductionist detail based approach.
Gabriel Burstein +2 more
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Designing Spacecraft Attitude Control Using Model-free Optimal Control Theory [PDF]
فصلنامه علوم و فناوری فضایی, 2017 The purpose of the present paper is to prove the model-free optimal control theory. This theory is derived from the principles of dynamic programming and it is produced for discrete-time systems.
Farid Taji Hervi, ALIREZA NOVINZADEH
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Parallel robot with fuzzy neural network sliding mode control
Advances in Mechanical Engineering, 2018 With the advancement in research on parallel robots, control theory is increasingly applied in the field of robotics. Owing to its robustness, sliding mode variable structure control is extensively used in parallel robots.
Jiangmin Xu, Qi Wang, Qing Lin
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Linear Bayesian Inference Theory Applied in Complex Analysis of Economic Forecasting and Management
Chemical Engineering Transactions, 2016 This paper systematically studied the Bayesian theory and methods of modern economic management in the multivariate models, including three linear models: single equation model, multi-equation model systems and Bayesian vector VAR (p) model.
C.Y. Bai
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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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Model Reference Control for Linear Time-Varying Systems: A Direct Parametric Approach
IEEE Access, 2020 This paper investigates model reference control for linear time-varying (LTV) systems. It is shown that the problem can be decomposed into two sub-problems: a state feedback stabilization problem of LTV systems and a feed-forward compensation problem ...
Yin-Dong Liu, Li-Mei Wang, Long-Wen Liu
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Hamiltanian minimum principle for optimum control of the distance learning process
Системный анализ и прикладная информатика, 2022 A mathematical learning model based on control theory in the form of an inhomogeneous linear differential equation is proposed. Analytical formulas and graphs for optimal program control and optimal trajectory are obtained from the principle of the ...
S. Ya. Zhukovich
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Supervisory Controller Design for Power System Stability using Hybrid Automata Modeling [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2021 Power systems are categorized as nonlinear dynamical systems, and the importance and complexity associated with their stability have dramatically increased.
Fariba Forouzesh +2 more
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The importance of behavior theory in control system modeling of physical activity sensor data [PDF]
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 Among health behaviors, physical activity has the most extensive record of research using passive sensors. Control systems and other system dynamic approaches have long been considered applicable for understanding human behavior, but only recently has the technology provided the precise and intensive longitudinal data required for these analytic ...
William T. Riley +2 more
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