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Robust control toolbox

The results in this example were obtained using the MATLAB Robust Control Toolbox. [Pg.320]

This tutorial uses the MATLAB Control System Toolbox for linear quadratie regulator, linear quadratie estimator (Kalman filter) and linear quadratie Gaussian eontrol system design. The tutorial also employs the Robust Control Toolbox for multivariable robust eontrol system design. Problems in Chapter 9 are used as design examples. [Pg.408]

Chiang, R.Y. and Safonov, M.G. (1992) Robust Control Toolbox for Use with MATLAB. Users Guide, MathWorks. [Pg.429]

For advanced techniques in modeling, identification, and control, MATLAB has a variety of additional toolboxes that are licensed individually. Relevant toolboxes for process control include control system, fuzzy logic, system identification, model predictive control, neural networks, optimization, partial differential equations, robust control, and statistics. [Pg.494]

See other pages where Robust control toolbox is mentioned: [Pg.386]    [Pg.386]    [Pg.236]    [Pg.770]    [Pg.21]   
See also in sourсe #XX -- [ Pg.408 ]



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