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2005, 2nd ed., ISBN 047001167X, xiv, 574
Book
1997, IEE control engineering series, ISBN 0852968299, Volume 54., xxii, 297
Book
Journal of Process Control, ISSN 0959-1524, 07/2018, Volume 67, pp. 141 - 159
•BDAC (“Big Data Approximating Control”) reformulates estimation and control•Supports adaptation with online model-free training and approximate pattern matching•Exploits “Big Data... 
MPC | Big data | Approximation | Model-free | Adaptive | Clustering | ENGINEERING, CHEMICAL | PREDICTIVE CONTROL | MULTIVARIABLE LABORATORY PROCESS | COMPONENT ANALYSIS | AUTOMATION & CONTROL SYSTEMS | Models | Sensors | Neural networks | Analysis | Measuring instruments
Journal Article
1990, ISBN 9780863412202, xiii, 306
Book
1988, Comprehensively rev. ed., ISBN 9780863411397, xix, 523
Book
International journal of robust and nonlinear control, ISSN 1049-8923, 2018, Volume 28, Issue 17, pp. 5406 - 5423
...∞ control is still an open challenge. This paper focuses on this challenge and proposes a novel simple approach, namely, polynomial nonlinear control, to design a nonlinear H... 
HJI equation | nonlinear control | H∞ control | the domain of attraction | multivariable control | control | H-infinity control | Transient response | Design parameters | Computer simulation | L2 gain | Nonlinear analysis | Taylor series | Polynomials | Nonlinear programming | Iterative methods | Nonlinear systems | Nonlinear control
Journal Article
by BAO, C and OUYANG, M and YI, B
International journal of hydrogen energy, ISSN 0360-3199, 2006, Volume 31, Issue 13, pp. 1897 - 1913
.... Based on linearization of the nonlinear dynamic model in the first part of this paper, the coupling between control inputs and performance is analyzed first... 
MPC | PEM | LQG | Neural network | Multivariable control | Fuel cell | ELECTROCHEMISTRY | fuel cell | ENERGY & FUELS | multivariable control | CHEMISTRY, PHYSICAL | neural network | Models | Algorithms | Fuel cell industry | Neural networks | Analysis | Fuel cells
Journal Article
Industrial & Engineering Chemistry Research, ISSN 0888-5885, 02/2016, Volume 55, Issue 7, pp. 2008 - 2019
Conventional multivariable controls may face challenges in industrial implementation due to their computation intensity, controller complexity, and/or poor robustness... 
TIME DELAYS | SYSTEM | ENGINEERING, CHEMICAL | PID CONTROLLERS | SCHEME | MIMO PROCESSES | DESIGN | COMPENSATION | DISTILLATION | TITO PROCESSES | INTERNAL-MODEL CONTROL
Journal Article
Industrial & Engineering Chemistry Research, ISSN 0888-5885, 06/2013, Volume 52, Issue 23, pp. 7854 - 7866
This paper presents a new methodology of multivariable centralized control based on the structure of inverted decoupling... 
ENGINEERING, CHEMICAL | PID CONTROLLERS | MIMO PROCESSES | MULTIVARIABLE CONTROL | CONTROL-SYSTEM DESIGN | INTERNAL MODEL CONTROL | Decoupling | Simulation | Specifications | Methodology | Time delay systems | Control systems | Time delay | Derivatives
Journal Article
International journal of robust and nonlinear control, ISSN 1049-8923, 2018, Volume 28, Issue 1, pp. 281 - 295
Journal Article