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Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models (Hardcover, 2011 ed.)
Loot Price: R2,904
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Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models (Hardcover, 2011 ed.)
Series: Studies in Fuzziness and Soft Computing, 262
Expected to ship within 10 - 15 working days
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Many problems in decision making, monitoring, fault detection, and
control require the knowledge of state variables and time-varying
parameters that are not directly measured by sensors. In such
situations, observers, or estimators, can be employed that use the
measured input and output signals along with a dynamic model of the
system in order to estimate the unknown states or parameters. An
essential requirement in designing an observer is to guarantee the
convergence of the estimates to the true values or at least to a
small neighborhood around the true values. However, for nonlinear,
large-scale, or time-varying systems, the design and tuning of an
observer is generally complicated and involves large computational
costs. This book provides a range of methods and tools to design
observers for nonlinear systems represented by a special type of a
dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The
TS model is a convex combination of affine linear models, which
facilitates its stability analysis and observer design by using
effective algorithms based on Lyapunov functions and linear matrix
inequalities. Takagi--Sugeno models are known to be universal
approximators and, in addition, a broad class of nonlinear systems
can be exactly represented as a TS system. Three particular
structures of large-scale TS models are considered: cascaded
systems, distributed systems, and systems affected by unknown
disturbances. The reader will find in-depth theoretic analysis
accompanied by illustrative examples and simulations of real-world
systems. Stability analysis of TS fuzzy systems is addressed in
detail. The intended audience are graduate students and researchers
both from academia and industry. For newcomers to the field, the
book provides a concise introduction dynamic TS fuzzy models along
with two methods to construct TS models for a given nonlinear
system
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