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A perspective on nonlinear model predictive control
Model predictive control (MPC) is widely accepted as a generic multivariable controller with constraint handling. More recently, MPC has been...
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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system
Advanced model-based control strategies, e.g., model predictive control, can offer superior control of key process variables for multiple-input...
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Basic Concepts for Predictive Microbiology
Advances in science and technology have led to the generation of data that require storage, processing, and interpretation. Predictive microbiology...
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Model-Based Predictive Controller for a Polylactic Acid Ring-Opening Polymerization Process
Currently, polylactic acid (PLA) is one of the most widely used biodegradable plastics. Yet due to the inherent complexity of the reaction as well as...
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pH Control of Yeast Fed-Batch Fermentation Process by Improved Input-Output Linearization Method
AbstractIn general, there are many influencing factors in the cultivation of microorganisms, including yeast, among which pH control is of great...
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A comparison between process control strategies: reinforcement learning with RBFs and NMPC coupled with EKF
Reinforcement learning (RL) arises from the set of machine learning techniques that are interesting for data-based process control purposes. Many...
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Identification and Model Predictive Control (MPC) of Aqueous Polyvinyl Alcohol Degradation in UV/H2O2 Photochemical Reactors
The performance of two continuous UV/H 2 O 2 photoreactors in series under unsteady-state condition is studied. An input–output dynamic model is...
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Nonlinear Calibration Methods
Methods such as MLR, PCR, and PLS are all multivariate calibration methods based on linear regression. They are all based on the assumption that the...
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Dynamic Models for Predictive Microbiology
First-order ordinary differential equations have been used as mathematical models to describe and predict the dynamics of foodborne microorganisms....
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Predictive Modeling for Spoilage Microorganisms
Every year, tons of food is thrown away because of changes in odor, taste, texture, or color. Food spoilage has a very important effect at this...
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Research on Autonomous Operation Motion Control of Excavator
Accurate motion control is the premise for the unmanned excavator to complete the operation. In this paper, the motion control of a 22 t hydraulic...
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A Review of Intelligent Vehicle Trajectory Tracking Control Methods Based on Overtaking Lane Change Scenarios
In order to achieve safe, comfortable, and stable control of lane-changing trajectories for intelligent vehicles, this paper reviews various...
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A Neural Network Based PEMFC Dynamic Model for Hardware-in-the-Loop Application
As the pace of decarbonization continues to accelerate around the world, hydrogen energy as one of the energy solutions of the future has achieved...
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Research on Path Tracking Control of Driverless Trucks
Path tracking is a crucial function for achieving unmanned driving. This paper addresses the challenge of low tracking accuracy and poor stability in...
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Modeling Optimal Control over a Nonlinear Object
AbstractA system of improved control over the catalytic reforming process on the basis of a mathematical model of this process is considered. The...
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Prediction of control temperature and emergency temperature of monadic/binary aromatic nitro compounds by quantitative structure-property relationship: correlation study of self-accelerating decomposition temperature in thermal hazard assessment
ContextThe thermal hazard of reactions caused by the structural instability of aromatic nitro compounds is a major concern in the field of chemical...
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A Protocol for Predictive Modeling of Microbial Inactivation Based on Experimental Data
Temperature treatments are one of the most commonly used methods for microbial inactivation in food industries. Microbial inactivation models can...
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Modeling and control-oriented thermal characteristics under variable load of the solid oxide fuel cell
The performance of the solid oxide fuel cell (SOFC) is greatly influenced by its operating temperature. Therefore, making a profound study of the...
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Nonlinear dimensionality reduction based visualization of single-cell RNA sequencing data
Single-cell multi-omics technology has catalyzed a transformative shift in contemporary cell biology, illuminating the nuanced relationship between...
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Design of a Ratio Control Algorithm for a Fluid Catalytic Cracking System in an Universal Oil Product Context
AbstractThis paper delves into the intricate dynamics of industrial fluid catalytic cracking, a pivotal process in refining universal oil products...
