Advanced control and on-line process optimization in multilayer structures
The paper demonstrates the place, role and mutual interaction of advanced control
algorithms and on-line set-point optimization in process control structures. First, a multilayer …
algorithms and on-line set-point optimization in process control structures. First, a multilayer …
[كتاب][B] Advanced control of industrial processes: structures and algorithms
P Tatjewski - 2007 - Springer
" Advanced Control of Industrial Processes" presents the concepts and algorithms of
advanced industrial process control and on-line optimisation within the framework of a …
advanced industrial process control and on-line optimisation within the framework of a …
Computationally efficient model predictive control algorithms
In the Proportional-Integral-Derivative (PID) controllers the control signal is a linear function
of: the current control error (the proportional part), the past errors (the integral part) and the …
of: the current control error (the proportional part), the past errors (the integral part) and the …
[كتاب][B] Application of the DiaSter system
M Syfert, P Chrzanowski, B Fajdek, M Ławryńczuk… - 2011 - Springer
Introduction The functions of the DiaSter system are realized by means of specialized user
packages. These packages cooperate by means of the system software platform. Particular …
packages. These packages cooperate by means of the system software platform. Particular …
Algorithms with state estimation in linear and nonlinear model predictive control
Abstract Model predictive control (MPC) algorithms with state-space process modelling, both
linear and nonlinear, and state estimation methods for this algorithms are the subject of this …
linear and nonlinear, and state estimation methods for this algorithms are the subject of this …
[PDF][PDF] Disturbance modeling and state estimation for offset-free predictive control with state-space process models
Disturbance modeling and design of state estimators for offset-free Model Predictive Control
(MPC) with linear state-space process models is considered in the paper for deterministic …
(MPC) with linear state-space process models is considered in the paper for deterministic …
[PDF][PDF] A family of model predictive control algorithms with artificial neural networks
This paper details nonlinear Model-based Predictive Control (MPC) algorithms for MIMO
processes modelled by means of neural networks of a feedforward structure. Two general …
processes modelled by means of neural networks of a feedforward structure. Two general …
Modelling and nonlinear predictive control of a yeast fermentation biochemical reactor using neural networks
This paper is concerned with using artificial neural networks for modelling and temperature
control of a yeast fermentation biochemical reactor. At first, a neural model of the process is …
control of a yeast fermentation biochemical reactor. At first, a neural model of the process is …
Non-linear control algorithms for an unmanned surface vehicle
Although intrinsically marine craft are known to exhibit non-linear dynamic characteristics,
modern marine autopilot system designs continue to be developed based on both linear and …
modern marine autopilot system designs continue to be developed based on both linear and …
Data-based predictive control for wastewater treatment process
H Han, L Zhang, J Qiao - Ieee Access, 2017 - ieeexplore.ieee.org
Wastewater treatment process (WWTP) has long been a challenging industrial issue due to
its built-in uncertainties and discontinuous measurement of system states. To solve this …
its built-in uncertainties and discontinuous measurement of system states. To solve this …