Constrained Control of Particulate Processes

2002 ◽  
pp. 87-120
Author(s):  
Panagiotis D. Christofides
Keyword(s):  
Constrained Control ◽  
Particulate Processes

Robust Variance-constrained Control of a Class of Stochastic Hybrid Systems

2010 ◽  
Vol 36 (2) ◽  
pp. 337-343
Author(s):  
You-Li WU ◽  
Yang-Wang FANG ◽  
Hong-Qiang WANG ◽  
Wen-Jie LIU
Keyword(s):  
Hybrid Systems ◽  
Constrained Control ◽  
Stochastic Hybrid Systems ◽  
Robust Variance

scholarly journals Design and Analysis of Nonlinear Constrained Control Algorithm for Rigid Aircraft

2020 ◽  
Vol 53 (5) ◽  
pp. 476-478
Author(s):  
Bo Yu ◽  
HaiBo Du ◽  
Jun Zhou ◽  
Di Wu
Keyword(s):  
Control Algorithm ◽  
Constrained Control

scholarly journals Stabilization of Burgers’ equation by constrained control

2020 ◽  
Vol 53 (2) ◽  
pp. 7497-7502
Author(s):  
Wen Kang ◽  
Emilia Fridman
Keyword(s):  
Burgers Equation ◽  
Constrained Control

Extremal solutions of some constrained control problems∗

Optimization ◽  
1995 ◽  
Vol 35 (4) ◽  
pp. 345-355 ◽  
Author(s):  
H. X. Phu ◽  
H. G. Bock ◽  
J. P. Schölder
Keyword(s):  
Extremal Solutions ◽  
Control Problems ◽  
Constrained Control ◽  
Constrained Control Problems

Modular dynamic simulation for integrated particulate processes by means of tool integration

2005 ◽  
Vol 60 (7) ◽  
pp. 2069-2083 ◽  
Author(s):  
Viatcheslav Kulikov ◽  
Heiko Briesen ◽  
Robert Grosch ◽  
Aidong Yang ◽  
Lars von Wedel ◽  
...  
Keyword(s):  
Dynamic Simulation ◽  
Tool Integration ◽  
Particulate Processes

A Conceptual Methodology for Recognition of Constrained Control Chart Patterns

2013 ◽  
Vol 845 ◽  
pp. 696-700
Author(s):  
Razieh Haghighati ◽  
Adnan Hassan
Keyword(s):  
Pattern Recognition ◽  
Statistical Process Control ◽  
Control Chart ◽  
Control Charts ◽  
Fault Tolerant ◽  
Constrained Control ◽  
Statistical Process ◽  
Control Chart Patterns ◽  
Control Chart Pattern ◽  
Chart Patterns

Traditional statistical process control (SPC) charting techniques were developed to monitor process status and helping identify assignable causes. Unnatural patterns in the process are recognized by means of control chart pattern recognition (CCPR) techniques. There are a broad set of studies in CCPR domain, however, given the growing doubts concerning the performance of control charts in presence of constrained data, this area has been overlooked in the literature. This paper, reports a preliminary work to develop a scheme for fault tolerant CCPR that is capable of (i) detecting of constrained data that is sampled in a misaligned uneven fashion and/or be partly lost or unavailable and (ii) accommodating the system in order to improve the reliability of recognition.

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