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Nonlinear Industrial Control Systems - Optimal Polynomial Systems and State-Space Approach (Hardcover, 1st ed. 2020)
Loot Price: R6,489
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Nonlinear Industrial Control Systems - Optimal Polynomial Systems and State-Space Approach (Hardcover, 1st ed. 2020)
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Nonlinear Industrial Control Systems presents a range of mostly
optimisation-based methods for severely nonlinear systems; it
discusses feedforward and feedback control and tracking control
systems design. The plant models and design algorithms are provided
in a MATLAB (R) toolbox that enable both academic examples and
industrial application studies to be repeated and evaluated, taking
into account practical application and implementation problems. The
text makes nonlinear control theory accessible to readers having
only a background in linear systems, and concentrates on real
applications of nonlinear control. It covers: different ways of
modelling nonlinear systems including state space,
polynomial-based, linear parameter varying, state-dependent and
hybrid; design techniques for nonlinear optimal control including
generalised-minimum-variance, model predictive control,
quadratic-Gaussian, factorised and H design methods; design
philosophies that are suitable for aerospace, automotive, marine,
process-control, energy systems, robotics, servo systems and
manufacturing; steps in design procedures that are illustrated in
design studies to define cost-functions and cope with problems such
as disturbance rejection, uncertainties and integral wind-up; and
baseline non-optimal control techniques such as nonlinear Smith
predictors, feedback linearization, sliding mode control and
nonlinear PID. Nonlinear Industrial Control Systems is valuable to
engineers in industry dealing with actual nonlinear systems. It
provides students with a comprehensive range of techniques and
examples for solving real nonlinear control design problems.
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