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Architectures for neural networks as surrogates for dynamic systems in chemical engineering
Surrogate models for dynamic systems in chemical engineering are increasingly of interest.
Neural networks have already been applied in research, but it remains unclear which types …
Neural networks have already been applied in research, but it remains unclear which types …
RST controller design for a non-uniform multi-rate control system
In this work, a non-uniform multi-rate controller which includes an RST control stage is
introduced. Due to several issues, in some systems the use of non-uniform (irregular) multi …
introduced. Due to several issues, in some systems the use of non-uniform (irregular) multi …
Development of adaptive dual predictive control schemes based on Wiener–Hammerstein models
Adaptive MPC schemes often employ local linear approximation of the system dynamics,
which may not be adequate to capture the dynamic behavior of systems exhibiting strongly …
which may not be adequate to capture the dynamic behavior of systems exhibiting strongly …
Development of Wiener-Hammerstein models parameterized using orthonormal basis filters and deep neural network
Many chemical or biochemical processes exhibit strongly nonlinear dynamic behavior in the
desired region of operations. To develop effective monitoring and control schemes for such …
desired region of operations. To develop effective monitoring and control schemes for such …
Wiener models
M Ławryńczuk, M Ławryńczuk - Nonlinear predictive control using Wiener …, 2022 - Springer
This chapter is concerned with Wiener models. At first, input-output structures are described:
one SISO case and five MIMO ones. Next, state-space models are detailed: one SISO case …
one SISO case and five MIMO ones. Next, state-space models are detailed: one SISO case …
[PDF][PDF] Model predictive control of a lyophilization plant: A simplified approach using Wiener and Hammerstein systems
MODEL PREDICTIVE CONTROL OF A LYOPHILIZATION PLANT: A SIMPLIFIED
APPROACH USING WIENER AND HAMMERSTEIN SYSTEMS Page 1 Control and …
APPROACH USING WIENER AND HAMMERSTEIN SYSTEMS Page 1 Control and …
Cone crusher model identification using block-oriented systems with orthonormal basis functions
O Mykhailenko - ar** dynamic black box models. When compared with the …
Adaptive control of the ore crushing process in cone crushers based on nonlinear predictive model
O Mykhailenko, V Shchokin, O Shchokina - 2018 - ds.knu.edu.ua
The paper deals with the development adaptive control system of the ore crushing process
based on nonlinear block-oriented dynamic models. It is define that the best dynamic …
based on nonlinear block-oriented dynamic models. It is define that the best dynamic …