Bounded stochastic distributions control for pseudo-ARMAX stochastic systems

IEEE Transactions on Automatic Control

Volumn 46, Issue 3, 2001, Pages 486-490

  Wang, Hong ^a   Zhang, Jian Hua ^b  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

B splines approximations; Dynamic stochastic system; Papermaking systems; Probability density function

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES; REGRESSION ANALYSIS; SPURIOUS SIGNAL NOISE;

BOUNDED STOCHASTIC DISTRIBUTIONS CONTROL;

STOCHASTIC CONTROL SYSTEMS;

EID: 0035278768     PISSN: 00189286     EISSN: None     Source Type: Journal    
DOI: 10.1109/9.911429     Document Type: Article

References (9)

1. Networks and the best approximation property
2. Practical applications of a novel web monitor for paper machines
3. On-line monitoring for performance and quality
4. Robust control of the output probability density functions for multivariable stochastic systems with guaranteed stability
5. Model reference adaptive control of the output stochastic distributions for unknown linear stochastic systems
6. Control of bounded dynamic stochastic distributions using square root models: An applicability study in papermaking systems