Control performance management in industrial automation: assessment, diagnosis and improvement of control loop performance

M Jelali - 2012‏ - books.google.com
Control Performance Management in Industrial Automation provides a coherent and self-
contained treatment of a group of methods and applications of burgeoning importance to the …

[کتاب][B] Advanced control of solar plants

EF Camacho, M Berenguel, FR Rubio - 1997‏ - Springer
The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology impacts all areas of the …

Nonlinear internal model control strategy for neural network models

EP Nahas, MA Henson, DE Seborg - Computers & Chemical Engineering, 1992‏ - Elsevier
A nonlinear internal model control (NIMC) strategy based on neural network models is
proposed for SISO processes. The neural network model is identified from input—output …

Control of a continuous bioreactor using model predictive control

S Ramaswamy, TJ Cutright, HK Qammar - Process Biochemistry, 2005‏ - Elsevier
Bioreactor control has become very important in recent years due to the difficulty in
controlling the highly non-linear behaviour associated with such systems. Model predictive …

[کتاب][B] Chemical process modelling and computer simulation

AK Jana - 2018‏ - books.google.com
This comprehensive and thoroughly revised text, now in its third edition, continues to present
the fundamental concepts of how mathematical models of chemical processes are …

Discrete‐time nonlinear controller synthesis by input/output linearization

M Soroush, C Kravaris - AIChE Journal, 1992‏ - Wiley Online Library
This work concerns the synthesis of discrete‐time nonlinear controllers for nonlinear
processes that make the closed‐loop system linear in an input/output sense. The synthesis …

Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback

F Gao, C Yu, Y Wang, Y Wu - arxiv preprint arxiv:2411.13079, 2024‏ - arxiv.org
Accurate motion control in the face of disturbances within complex environments remains a
major challenge in robotics. Classical model-based approaches often struggle with …

[PDF][PDF] Feedback linearizing control

MA Henson, DE Seborg - Nonlinear process control, 1997‏ - cse.sc.edu
In this chapter, the basic theory of feedback linearization is presented and issues of
particular relevance to process control applications are discussed. Two fundamental …

Neural control of fast nonlinear systems—Application to a turbocharged SI engine with VCT

G Colin, Y Chamaillard, G Bloch… - IEEE Transactions on …, 2007‏ - ieeexplore.ieee.org
Today,(engine) downsizing using turbocharging appears as a major way in reducing fuel
consumption and pollutant emissions of spark ignition (SI) engines. In this context, an …

Multiple model-based control of multi variable continuous microbial fuel cell (CMFC) using machine learning approaches

A Yewale, R Methekar, S Agrawal - Computers & Chemical Engineering, 2020‏ - Elsevier
Microbial fuel cells (MFCs) are promising technology to simultaneously harvest energy and
produce clean water from wastewater or organic matter. However, MFC is a complex, time …