Most existing robust design books address design for static systems, or achieve robust design from experimental data via the Taguchi method. Little work considers model information for robust design particularly for the dynamic system. This book covers robust design for both static and dynamic systems using the nominal model information or the hybrid model/data information, and also integrates design with control under a large operating region. This design can handle strong nonlinearity and more uncertainties from model and parameters
The factors of interest in designing a product or process can generally be classified into two categ...
The design and control of an engineering system often present themselves as two coupled problems. Ba...
Today many companies are struggling with issues related to unwanted variation. Even though Robust De...
Traditional production system design approaches have concentrated on feasibility, meeting volume req...
The intent in robust design is to improve the quality of products and processes by reducing their se...
Robust design aims at reducing the effects of variation on a design, without eliminating the variati...
This paper considers robust product design applied to mechanical systems via computer-based models a...
Controller design for scalar or multivariable systems whose models are unknown or highly complex are...
A UNIQUELY PRACTICAL APPROACH TO ROBUST DESIGN FROM A STATISTICAL AND ENGINEERING PERSPECTIVE Varia...
Integrated modeling, identification, analysis, and design. The use of mathematical models to design ...
"Robust Control Systems" gives a self-contained introduction to modern Control Theory. It thus adds ...
Controller design for continuous and discrete multivaruable systems whose models are unknown or high...
The design of optimal H_2 dynamic controllers for interconnected linear systems using limited plant ...
Controller design for continuous and discrete systems whose models are unknown or highly complex are...
In Robust Design literature, the application of Robust Design guidelines is suggested as a measure t...
The factors of interest in designing a product or process can generally be classified into two categ...
The design and control of an engineering system often present themselves as two coupled problems. Ba...
Today many companies are struggling with issues related to unwanted variation. Even though Robust De...
Traditional production system design approaches have concentrated on feasibility, meeting volume req...
The intent in robust design is to improve the quality of products and processes by reducing their se...
Robust design aims at reducing the effects of variation on a design, without eliminating the variati...
This paper considers robust product design applied to mechanical systems via computer-based models a...
Controller design for scalar or multivariable systems whose models are unknown or highly complex are...
A UNIQUELY PRACTICAL APPROACH TO ROBUST DESIGN FROM A STATISTICAL AND ENGINEERING PERSPECTIVE Varia...
Integrated modeling, identification, analysis, and design. The use of mathematical models to design ...
"Robust Control Systems" gives a self-contained introduction to modern Control Theory. It thus adds ...
Controller design for continuous and discrete multivaruable systems whose models are unknown or high...
The design of optimal H_2 dynamic controllers for interconnected linear systems using limited plant ...
Controller design for continuous and discrete systems whose models are unknown or highly complex are...
In Robust Design literature, the application of Robust Design guidelines is suggested as a measure t...
The factors of interest in designing a product or process can generally be classified into two categ...
The design and control of an engineering system often present themselves as two coupled problems. Ba...
Today many companies are struggling with issues related to unwanted variation. Even though Robust De...