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37 Results Found
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Stratasys Partners With Novineer to Integrate NoviPath FDM Performance Simulation With GrabCAD Print Pro
Engineers can now optimize FDM parts for real applications with reduced trial-and-error testing, allowing manufacturers to design lighter, stronger FDM parts with greater confidence. -
Using First-principles Models in the Digital Age
Have you ever wondered why we discard process knowledge and revert to Laplace transforms and linear models for control when first-principles models can work? So did I. -
ISA Publishes New Book on Nonlinear Model-Based Control
Nonlinear Model-Based Control: Using First-Principles Models in Process Control has just been made available by ISA. -
How Can We Improve Control of Dead Time Dominant Applications?
From Greg McMillan and the ISA Mentor Program team. -
Are First Principle Models Used for Model Predictive Control?
What commercial providers of MPC use phenomenological dynamic models? -
Digital Twins Enable the Autonomous Paper Mill
Robust and well-maintained control system optimization, advanced process control, and model-based predictive control can increase production, decrease costs, and autonomously operate the mill of the future. This article was originally published in InTech's July/August issue. -
What Are the Opportunities for Nonlinear Control in Process Industry Applications?
MPC for batch operations can be achieved by translation of controlled variable from batch temperature or composition with a unidirectional response to the slope of the batch profile. -
How to Improve Loop Performance for Dead Time Dominant Systems
Dead time is the source of the ultimate limit to control loop performance. -
How to Setup and Identify Process Models for Model Predictive Control
Sometimes the design will need to change during a step test as you learn more about the process. -
What Types of Process Control Models are Best?
First principle models can be used to gain a deeper understanding of cause and effects, process relationships, process gains, and the response to abnormal situations. -
How to Optimize Industrial Evaporators
Model predictive control software identifies the dynamics and automatically incorporates them into the industrial evaporator controller. -
![Using OPC Technology to Study Advanced Process Control [Technical]](/documents/d/acom/how-to-create-working-information-capital-process-industry-enterprise.jpg-2)
Using OPC Technology to Study Advanced Process Control [Technical]
Research focus on the use of OPC technology for the study of distributed control systems as a cost effective and flexible research tool for the development and testing of advanced process control techn -
How to Use Model Predictive Control to Improve the Distillation Process
Leverage model predictive methods to separate great from good distillation control. Understand the benefits of model predictive control algorithms for improving the ROI of the distillation process. -
University of Wyoming completes Rate-Predictive Control (RPC) performance and stability analysis
The Rate-Predictive Control (RPC) algorithm earned a United States patent in 2016 and is an inherently adaptive (or “naturally self-tuning”) process control algorithm. -
APC earns patents for Rate-Predictive Control (RPC) and Model-less Multivariable Control (XMC)
RPC provides an alternative to industry standard “PID” control in many applications. XMC, the model-less multivariable control technology by APC Performance embeds RPC as its internal control method. -
![Modeling and Control Approach to a Distinctive Quadrotor Helicopter [Technical]](/documents/d/acom/quadrocopter-carrying-carton-box.jpg)
Modeling and Control Approach to a Distinctive Quadrotor Helicopter [Technical]
By comparing with a physical model-based LQR controller and an ARX model-set-based gain scheduling LQR controller, researchers achieved superior MIMO RBF-ARX model-based control. -
Simplified Predictive Control Algorithm for Disturbance Rejection
Model predictive control (MPC) offers several advantages for control of chemical processes. However, the standard MPC may do a poor job in suppressing the effects of certain disturbances. -
Emerson support helps reduce energy at MOL gas processing plant
Control loop audits, advanced process control project management, and model predictive control project support have together helped MOL achieve savings of over $9 million since 2006. -
Use Field Analyzers to Measure Key Component Concentrations
Field analyzers enable a higher level of control, such as model predictive control, to improve product quality and process efficiency and capacity. -
How to Achieve Greater Manufacturing Efficiency With Online Process Metrics
Add flow measurements to every important stream and compute online metrics for the process efficiency and capacity of each key unit operation.
![Using OPC Technology to Study Advanced Process Control [Technical]](/o/adaptive-media/image/7947028/small-576/how-to-create-working-information-capital-process-industry-enterprise.jpg?t=1772478412113)
![Modeling and Control Approach to a Distinctive Quadrotor Helicopter [Technical]](/o/adaptive-media/image/7890160/small-576/quadrocopter-carrying-carton-box.jpg?t=1772463712422)
