• No results found

Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems

N/A
N/A
Protected

Academic year: 2020

Share "Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems"

Copied!
11
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1.      Output hirizon and control input
TABLE I.  ξ=METHODS OF FUZZY MODELLING Δu k( )
Figure 2.  Block diagram of  AFMPC
Figure 3. Input/Output signals
+4

References

Related documents

chemically resistant, heat sealable flexible tubing Female Luer with barb...

Aveling argues that while this provides local actors with important material and social capital in the HIV response, such representations and professionalising activities

In addition, this thesis also presents results from ventilation effectiveness studies and study of dispersion of tracer gas for various scenarios inside a Boeing 737 mockup cabin..

In the rush to create a middleware platform dependency larger than your current legacy platform dependency, vendors and their well-paid industry analysts push a plethora of

• Also tests Rotemberg and Saloner (1986) model: alternative explanation for price wars (where serial correlation in demand, not unobserved firm actions, drives price fluctuations).

In particular HP and Rackspace have offerings that compare with AWS: similar server configurations that can be dynamically resourced by the hour through an API or web console,

The fifth recommendation is to investigate whether there are any significant differences in levels of engagement based on various colleges in the CUNY system. This study

What are the prior life experiences of new student affairs professionals that have influenced their decision to hold a position focused on engaging students with the local