Model reduction for controller design for infinite-dimensional systems: theory and an example [PDF]
Proceedings of the 44th IEEE Conference on Decision and Control, 2006 This paper presents a model reduction technique for infinite-dimensional systems called LQG-balancing. Theoretical results on the existence and uniqueness of LQG-balanced realizations are given as well as error bounds for truncated LQG-balanced realizations. We illustrate the theory by studying model reduction for an Euler-Bernoulli beam.
Mark R. Opmeer +2 more
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PD-Type Iterative Learning Control for Uncertain Spatially Interconnected Systems
Mathematics, 2020 This paper puts forward a PD-type iterative learning control algorithm for a class of discrete spatially interconnected systems with unstructured uncertainty.
Longhui Zhou +4 more
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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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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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Advanced Topics in Modeling, Bifurcation Analysis, and Control Theory of Complex Systems [PDF]
Complexity, 2018 En los últimos años, se han investigado varios sistemas complejos en teoría no lineal y han tenido un gran impacto en las investigaciones científicas. Debido a la complejidad de su diseño, análisis y control, han surgido ideas innovadoras en esta área en expansión.
Olfa Boubaker +5 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
doaj
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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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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